Impact case study database
- Submitting institution
- Heriot-Watt University, University of Edinburgh (joint submission)
- Unit of assessment
- 12 - Engineering
- Summary impact type
- Technological
- Is this case study continued from a case study submitted in 2014?
- No
1. Summary of the impact
80% of all industrial feedstocks are particulate-based. Underpinning research in ERPE has enabled the development of new disruptive particle analysis methods and technologies for powders, granules and pastes. Two key advances are: the development of a new coarse-graining method to analyse data produced by discrete element method modelling of particulates and the creation of a new numerical model named EEPA. These have been adopted into commercial software with subsequent worldwide utilisation across multiple industry sectors. The significant industrial impacts include:
(A) - Creation of the spin-out company Particle Analytics Ltd in 2015 that developed, and commercialised under licence, new ‘IOTA’ software. IOTA incorporated ERPE coarse graining methods to transform highly intense data from particle-scale to bulk-industrial-scale, and enabled new understanding of complex particulate flow processes and industrial innovation;
(B) - Integration of the the new ‘EEPA’ numerical model for particle analysis, into the globally-used software package EDEM® to simulate cohesive powders;
(C) - Development and application of an advanced Digital Twin for modelling powder mixing and granulation to optimise manufacture of pharmaceutical products, using EDEM®; and
(D) - Licencing of a new Uniaxial Powder Tester (UPT) to UK company Freeman Technology Ltd, now distributed widely in Europe, USA and Asia.
2. Underpinning research
Ooi and colleagues in ERPE at the University of Edinburgh (UoE) have performed world-leading research in Discrete Element Method (DEM) modelling techniques and software for particle simulation over the past 16 years. They developed an adhesive elasto-plastic contact model, termed the Edinburgh Elasto-Plastic Adhesion (EEPA) Model using DEM, with three dimensional non-spherical particles that enabled, for the first time, quantitative prediction of cohesive powder flowability [3.1]. Simulations were then able to be performed for the industrially-important example of uniaxial powder consolidation followed by unconfined compression to failure. The model delivered the capability of predicting the experimental flow function (unconfined compressive strength vs. the prior consolidation stress). Contact plasticity was modelled and shown to significantly affect the flowability, which was demonstrated to be essential for producing accurate computations of the behaviour of a cohesive granular material. It proved that the contribution of the adhesive force to the limiting friction had a significant effect on the bulk unconfined strength. The results provided new insights and established a micromechanically-based measure for characterising the strength and flowability of cohesive granular materials.
The DEM method generates huge volumes of data describing particle locations, velocities and contact forces which creates significant challenges in the extraction and visualisation of the temporal and spatial characteristics of the bulk parameters of specific interest in targeted problems. ERPE research on the ‘coarse graining’ analysis [3.2, 3.3] developed techniques to transform the particle-scale data in the simulation into meso- and macro-scale parameters such as stresses, densities, concentrations and other application specific parameters.
Once integrated into the new software platform (IOTA), under licence, its use provided new insights into the underlying material, thermal and chemical flow processes across a wide range of industrial particulate systems. The coarse graining algorithm could, for the first time, convert and visualise discrete datasets from the solver applications into continuum data sets. This would provide key design insights and data for the pharmaceutical, mineral processing, bulk material handling and manufacturing industries to improve system designs. The simulation modelling would also enable the water, oil and gas sectors to predict wear and erosion in pipework and closed systems with greater confidence.
[3.4] reported a numerical study on the DEM modelling of cohesive solids using a visco-elasto-plastic frictional adhesive contact model. The capabilities of the contact model to capture the mechanical macroscopic behaviour of cohesive materials were investigated by means of cone penetration and unconfined compression simulations. The results showed that the simulations were able to reproduce qualitatively the typical trend of the penetration resistance profile in cohesive solids, characterised by steady-state at large penetration depths. It was also capable of capturing the dependence of the penetration resistance on the consolidation stress history. Results proved the ability of the model developed to simulate, for the first time, complex processes involving cohesive solids in large engineering applications.
In addition to the above numerical modelling, the ERPE team conducted physical modelling and experimental measurements to examine material rheological behaviour. The research in uniaxial testing of powders produced encouraging results in measuring powder compressibility and flowability for bulk handling applications. Between 2005 and 2009, the development of uniaxial handleability testers enhanced the design of cohesion testers, initially for coal handling applications with Australian (CoalTech Pty) and UK (UK Coal) companies [3.5, 3.6]. The uniaxial testing was further developed for application to chemical powder testing in two EPSRC Impact Acceleration Awards in 2015-16, involving Freeman Technology and DuPont (Chemours). A universal powder tester (UPT) was then developed in collaboration with both companies to provide an intuitive measurement of unconfined yield strength that (unlike other methods) was based on fundamental powder mechanics. The device would also facilitate efficient time consolidation and caking studies, that can often be the determining factors in industrial powder flow problems with organic chemicals and soft polymers, yet are difficult to characterise with conventional testers.
3. References to the research
[3.1] Journal. Thakur, S.C., Morrissey, J.P., Sun, J., Chen, J.F. and Ooi, J.Y. (2014) “Micromechanical analysis of cohesive granular materials using the discrete element method with an adhesive elasto-plastic contact model”. Granular Matter, Vol. 16 (Issue 3) pp383–400.
[3.2] Conference. C. Labra, J. Y. Ooi and J. Sun (2013) “Spatial and temporal coarse-graining for DEM analysis” Proc. Powders & Grains, Sydney, Australia, June 2013, p1258-61.
https://doi.org/10.1063/1.4812167
[3.3] Journal. Weinhart, T., Luding, S., Labra, C., Ooi, J.Y. (2016) “Influence of coarse-graining parameters on the analysis of DEM simulations of silo flow” Powder Technology, Vol. 293, pp138-148. https://doi.org/10.1016/j.powtec.2015.11.052
[3.4] Journal. Janda, A. and Ooi, J.Y. (2016) “DEM modelling of cone penetration and unconfined compression in cohesive soils” Powder Technology, Vol. 293, pp60-68.
[3.5] Conference. Bell T.A., Catalano E.J., Zhong Z., Ooi J.Y. and Rotter J.M. (2007) “Evaluation of the Edinburgh Powder Tester” Proc, PARTEC 2007, Nuremberg, March. https://www.research.ed.ac.uk/en/publications/evaluation-of-edinburgh-powder-tester-ept
[3.6] Journal. Zhong Z., Ooi J.Y., Rotter J.M. (2005) "Predicting the handlability of a coal blend from measurements on the source coals", Fuel, Vol. 84, pp2267-2274. https://doi.org/10.1016/j.fuel.2005.05.023
4. Details of the impact
The particulate products market is worth GBP180,000,000,000 per year in the UK, and approximately GBP1,000,000,000,000 per year in emerging global markets. Over 80% of industrial feedstocks are moved, transported or processed in particulate form (powders, granules, pastes etc.). Particulate movement can affect the long term structural condition of silos for material storage, degrade the performance of machinery and processes and influence the material properties from heat flow through particle contact. All of this has significant cost impact on the manufacturing and flow processes where powders are used, from continuous manufacture of synthetic materials, to mixing of powders or dispensing of tablets in the pharmaceutical industries. Increased knowledge and understanding from ERPE’s improved modelling of the flow, compaction and movement of particulates has impacted an array of industry sectors including food, pharmaceutical, mining, construction, chemical energy storage and additive manufacturing. The impact summarised in Section 1 is expanded in A-D below. Industry descriptions of the ERPE impacts and outcomes achieved include ‘ best in class’, ‘ changing the way we look at DEM data’, ‘ enabled clients to model complex powders for the first time’, ‘ state of the art’, ‘ exceptional’ and ‘ ground breaking’.
(A) Particle-Analytics Ltd (2015) and Coarse-Graining disruptive technology
To capitalise on the developments enabled by the underpinning research on course graining [3.2, 3.3] and previous application capabilities of the DEM [3.5, 3.6], Particle Analytics Ltd was spun-out of the University of Edinburgh in February 2015 to exploit commercially their particle engineering data analysis software ‘IOTA’ [5.1]. This provides users with the ability to perform rigorous root cause analysis on the design of new systems or review existing systems by combining data science methodologies with engineering decision making [5.1]. The main benefits include the course graining analysis and measurement of: mixing and segregation analysis; residence time calculation; solid fraction; bulk density; contact and kinetic stress. Clients include early-adopting multi-national organisations such as Procter and Gamble, Astec Industries Inc, Johnson Matthey and Pfizer. More recently, Particle-Analytics Ltd have been collaborating with oil and gas engineering company Schlumberger to exploit new applications in sub-surface engineering [5.1]. The Chairman of Particle Analytics endorsed the importance of the ERPE research to the quality of the software, stating “We believe IOTA is the best in class predictive tool available in the market. This view is supported by various independent empirical data experiments and case studies, confirming that we can deliver a unique level of insight and discovery” [5.2].
The licensing of the coarse-graining algorithm methodologies to Particle Analytics Ltd for use in the IOTA Software has, as intended, yielded a disruptive technology which allows vast amounts of complex particle data to be “coarse-grained” and transformed from particle scale to bulk-industrial scale [5.3]. This provided new understanding of particulate flow processes and drove industrial innovation. The Chief Commercialisation Officer of Particle Analytics said, “ Particle's ground breaking coarse graining algorithm allows engineers and scientists to do proper root cause analysis on their designs to ensure they are fit for purpose and deliver long life extension. This allows engineers, such as in the Oil and Gas industry, to pinpoint failure modes in piping systems, caused by sand, which results in pipe erosion, at a cost to the industry of $2Bn per annum. Particle's front end interface capability provides for flexible developments of new models as yet undiscovered.” [5.3]
An example case study is Astec Industries, Inc. (USA) which manufactures more than 100 different products from rock crushing and screening plants to hot mix asphalt (HMA) facilities, concrete plants, milling machines, asphalt pavers, and material transfer vehicles. For their HMA equipment design and optimisation, they utilised the IOTA software designed by spin-out Particle Analytics, where the coarse-graining analysis has provided a more meaningful visualisation of the heat transfer in the complex and dynamic aggregate flow in a dryer. This resulted in the design, manufacture and supply of more efficient dryers to the road construction sector with significant fuel savings and future reduced carbon emissions [5.4]. The Head of Simulation and Modelling of Astec Industries USA confirmed that “ IOTA from Particle Analytics Ltd has changed the way we look at DEM data. We’ve used the coarse graining tools to gain better insight into particle behaviour in our equipment. It’s enabled us to maximize heat transfer across a range of operating conditions for our clients in the road construction industry” [5.4]
(B) EEPA modelling adopted within EDEM® software 2018 …and follow-ons
The EEPA contact modelling capability developed in [3.1, 3.4] was integrated into the commercial software EDEM® in 2018 [5.5]. EDEM® promoted the increased capabilities as ‘ More particles….faster with EDEM 2018’ across its multi-sector users, including pharmaceutical, equipment manufacturing and battery technology companies [5.5]. Altair Inc. is a Nasdaq (USA) registered global technology company that provides software and cloud solutions in the areas of data analysis, product development, and high-performance computing. They included the EEPA model in the Altair/EDEM® commercial particle simulation software in 2018. After acquiring EDEM® in 2019, the Chief Technology Officer of Altair endorsed, “The recent adoption of the EEPA model has allowed our clients to model their complex cohesive powders successfully for the first time. The applications are wide ranging including pharmaceutical, manufacturing, battery technology, automotive design and have directly contributed to the Company securing new clients. The success of EEPA model is a contributing factor to Altair’s decision to acquire EDEM® in 2019” [5.6].
(C) Development of a Digital Twin for modelling powder mixing and granulation
Funded by Innovate UK, in collaboration with Centre for Process Innovation Ltd (CPI) and industrial partners AstraZeneca, EDEM®, Johnson Matthey, Pfizer, PSE, and Procter & Gamble, the EEPA model within EDEM® was successfully used to develop an advanced Digital Twin of a twin-screw granulator for modelling powder mixing and granulation to optimise, in advance of process, the manufacture of pharmaceutical and other high value products [5.7]. Dr Graeme Cruickshank, Director of Formulation at CPI, said: “ These projects are exciting developments in the application of digital design methods to the development of formulated products and manufacturing process. The leveraging of UK expertise across industry, academic centres of excellence and highly-specialised technology suppliers has been key to the success of this project and providing state-of-the-art capability to help UK companies benefit from developments in digital manufacturing” [5.7].
(D) Uniaxial cohesive powders tester (UPT) – license, launch and reach
In addition to the numerical modelling- and simulation-driven impacts above, ERPE research in measurement, characterisation, prediction and test of particulates has underpinned the development of a uniaxial tester for cohesive powders [3.5, 3.6] and, in later EPSRC-funded collaborative research, developed a universal powder tester (UPT), with DuPont (Chemours) and Freeman Technology. The UPT was licensed in 2016 to Freeman Technology, the leading UK company operating in Europe, Asia and USA. The Freeman UPT Tester, is marketed on their website [5.8]. This UPT is now used to provide rapid, repeatable and accurate assessment of powder flowability for industrial powder handling applications worldwide. The UPT also overcame [5.8] many of the previous engineering and implementation constraints across many industry sectors including (i) the design and construction of a free-standing powder column; (ii) that ensured a uniform density and stress throughout the entire powder column, resulting in (iii) a user-friendly, dependable powder tester that is now used on a wide range of powders. The new UPT technology [5.8] developed a sleeve design that enabled the creation of a free-standing column of powder, and used a double-ended consolidation method to ensure uniform density and stress. The Operations Director at Freeman Technology stated "The uniaxial tester contributed significantly to the development of the Freeman Technology Uniaxial Powder Tester. This instrument is now installed at powder handling organisations in the USA, Europe and Asia where it is used to assist with product development and optimisation in applications as industrial chemicals, household goods and pharmaceuticals" [5.9].
An example case study is Chemours Inc (USA) which is a global chemical engineering company, employing around 7,000 staff across 37 manufacturing plants/laboratories, with a client base in 120 countries. Its work supplies the automotive, paints, plastics, electronics, construction, energy, and telecommunications industries. They use the UPT widely for quality control and product development of titanium dioxide (TiO2) powder used in products such as paints, glazes, enamels, plastics, paper, fibres, foods, pharmaceuticals and cosmetics. The lead Particle Technology Principal Consultant at Chemours USA, stated, “ Having conducted over 2,500 tests with the UPT, the reproducibility has been exceptional; more than 10 times better than its ‘competitor’ in measurement of unconfined yield stress. This high degree of reproducibility minimizes the need for replicate tests and allows confident detection of subtle differences in flowability that affect the value of millions of dollars’ worth of TiO2 pigment” [5.10].
5. Sources to corroborate the impact
[5.1] Particle Analytics Ltd spin out company from University of Edinburgh (Feb 2015), multinational clients (by Dec, 2020) http://particle-analytics.com/about/
[5.2] Comments by Particle Analytics Ltd Chairman as ‘best in class’ software from comparisons with other softwares (Jan, 2020) http://particle-analytics.com/kevin-hart/
[5.3] Statement from Particle Analytics Ltd, Chief Commercial Officer.
[5.4] Statement from Astec Inc. Head of Simulation, USA.
[5.5] EDEM promotion to various industry sectors of the capabilities of the EEPA software now embedded in EDEM 2018 version. More particles….faster with EDEM 2018 (Oct, 2017) https://www.edemsimulation.com/blog-and-news/news/more-particles-faster-edem-2018/
[5.6] Statement by Chief Technology Officer of Altair Inc (USA) on the success of EEPA model as a contributing factor to Altair’s decision to acquire EDEM® in 2019.
[5.7] CPI Press release: Creation of the CPI Digital Twin with the EDEM software incorporating EEPA modelling and University of Edinburgh expertise. (March, 2019)
[5.8] Launch of the Uniaxial Powder Tester (UPT), sold by Freeman Technology Ltd stating developed in partnerships with University of Edinburgh (Jan, 2016)
[5.9] Statement by Freeman Technology, Operations Director, on the significance of the uniaxial testing in the development of the Freeman UPT tester, and deployment in organisations across USA, Europe and Asia.
[5.10] Statement by Particle Technology Consultant, Chemours Inc USA on the importance of the Freeman UPT tester.
- Submitting institution
- Heriot-Watt University, University of Edinburgh (joint submission)
- Unit of assessment
- 12 - Engineering
- Summary impact type
- Technological
- Is this case study continued from a case study submitted in 2014?
- No
1. Summary of the impact
Global environmental pressures are increasing to avoid the opening of new oil wells and to optimise outputs from existing wells. Existing technologies can only recover less than one third of the reserves that they reach due to ingress of water or gas. ERPE researchers at Heriot-Watt University investigated and modelled an innovative intelligent Autonomous Inflow Control Valve technology (AICV®) within a multi-partner industry consortium, led by the Norwegian limited company InflowControl AS (InflowControl). Impacts arising include:
(A) – AICV technology is now mass-manufactured in multi-country supply chains including the UK and has been installed in over 100 petroleum industry wells worldwide;
(B) – InflowControl, a start-up company in Norway, now with a USD 17 Million turnover;
(C) – Oil recovery has been enhanced, where AICV is deployed, by an average of 38% with consequent increases in revenue and savings in production costs;
(D) – New knowledge and practice across the international industry sector deriving from the ERPE parametric approach to optimising AICV deployment; and
(E) - Water ingress and co-produced waste can be reduced by up to 89% with consequent positive environmental impact.
2. Underpinning research
Enhancing oil recovery (EOR) from existing wells is a strategic aim of the UK Government Oil and Gas Authority, the European Union and international bodies, and a key imperative for multi-national and national oil companies and their supporting supply chains, including many Small to Medium Enterprises (SMEs). Environmental pressures require production companies to increase and optimise outputs from existing wells rather than open new ones. Around the world, however, only 32% of the available reserves are extracted from existing oil fields, leaving 68% behind. A major challenge in oil production is to enhance and maximise the total oil recovery from the reservoir. Such low oil recovery rates are mostly due to ingress of water or gas into the well. In the early 1990s, the oil industry introduced Inflow Control Devices (ICDs) to passively control the influx of fluids into a well. Multiple ICDs restrict flow inside a petroleum production well to improve its productivity. Field experience demonstrated that ICDs could only balance the well influx initially but, being passive, could not adapt to the changes in the inflow conditions as the well matured over its production life. To reduce water and gas ingress, known as ‘breakthrough’, on an ongoing basis over the lifetime of the well required the development of active, rather than passive, control.
This led to the development of Autonomous Inflow Control Valve (AICV) technology that would require pioneering ERPE complex modelling of the geo-statistical features of different reservoir geologies and production inflows to ensure that their deployment was effective.
Development of this new AICV technology was enabled by a collaborative, interdisciplinary effort. The EU Framework 7 REVIVAL project [P1] (2013-2015) was completed by a European consortium of four SMEs, one large company and three research and technology developers (RTDs), with Heriot-Watt University (HWU) as the lead university. The consortium was led by InflowControl, a Norwegian company that was the primary inventor of AICV technology.
As one of the world leaders in inflow control technology research, ERPE prior studies (2001-2013) underpinned the research in REVIVAL. An ERPE Joint Industry Project (JIP) ‘Added value from Intelligent Well Technology’ started in 2001, supported by an international consortium of petroleum operator and service companies. By 2013 this project and its multiple successors, funded by over 20 oil companies, produced over 40 publications on inflow control technology. Notable contributions, relevant to the subsequent REVIVAL’s AICVs studies, included:
[3.1], 2005 – was the first research to relate the geostatistical features of different geology reservoirs to their suitability for the flow control device technology. The REVIVAL project’s AICV suitability for various oil field geologies was informed by this research.
[3.2], 2007 – this research thoroughly reviewed the application, modelling, and evaluation of the types of inflow control device technology in oil and gas fields. This technology assessment framework was later extended to include REVIVAL’s AICV studies.
[3.3], 2010 – these studies developed comprehensive analysis, assessment, application, modelling, and screening of all the inflow control device technology types commercially available at the time. This work was a fundamental enabler of ERPE REVIVAL studies that compared the performance of AICVs to other earlier ICDs and demonstrated the AICVs’ potential advantages, leading to their adoption by the industry.
ERPE contribution to REVIVAL (2013-2015):
ERPE modelled the long-term, oil recovery benefit of the AICV technology and defined and quantified the criteria that determined the suitability of an oil-field for AICV deployment. The ERPE team led the development of a reservoir recovery model for AICVs that assessed their necessary flow performance, evaluated their application envelope and quantified their long-term benefits at oil-field scale. This was vital to assess the potential of AICV for improving oil recovery and thereupon in justifying the investment in AICV technology. The stages of the work were as follows:
In Stage 1, comprehensive research delivered the first collected appraisal of all available types of flow control devices in use and identified where an AICV was best-suited and most economically able to increase yield.
In Stage 2, AICV performance modelling approaches were critically analysed and a parametric basis developed to determine how they could immediately be used in several leading, commercial, reservoir simulators. The parametrised AICV flow model that ERPE developed also enabled optimisation of AICV performance to achieve a required reservoir response (later related to the quantity of its ‘good’ and ‘bad’ water or gas flows (as explained below).
In Stage 3, the approach was also applied to multiple generic reservoir models to demonstrate the potential benefit and application envelope of the AICV technology, and to provide appropriate guidelines on its assessment and adoption [3.5].
The ERPE modelling of a wide range of possible generic oil fields, geologies, fluid properties, and production scenarios informed the engineering design and optimisation of AICV technologies within the REVIVAL consortium.
In Stage 4, the above work was extended to derive and produce a novel, generalised approach to modelling, evaluation and fast optimisation of flow performance of any type of AICV. This used 3D mapping of a parametrised response to a given reservoir and was illustrated for AICVs in heavy oil reservoirs [3.6].
The ERPE team showed that the AICV technology would promote the flow of ‘good water’ (i.e. the level of unwanted fluid acceptable in the efficient oil production in wells) while restricting the ‘bad water’ (i.e. the level of unwanted fluid adversely affecting the oil production performance in wells), and how the AICV flow performance should behave to achieve this [3.4, 3.5, 3.6]. This informed the AICV engineering design of the REVIVAL consortium that was able to achieve the optimal AICV flow performance.
3. References to the research
[3.1] Conference: Ebadi, F., Davies, D., Reynolds, M. and Corbett P. (2005) ‘Screening of Reservoir Types for Optimisation of Intelligent Well Design’, Society of Petroleum Engineers Conference. Paper SPE-94053-MS. https://onepetro.org/SPEEURO/proceedings-abstract/05EURO/All-05EURO/SPE-94053-MS/74591
[3.2] Conference: Al-Khelaiwi, F. and Davies, D. (2007) ‘Inflow Control Devices: Application and Value Quantification of a Developing Technology’, Society of Petroleum Engineers Conference, Paper SPE-108700-MS. DOI: 10.2118/108700-MS https://onepetro.org/SPEIOCEM/proceedings-abstract/07IOCEM/All-07IOCEM/SPE-108700-MS/142623
[3.3] Journal: Al-Khelaiwi, F., Birchenko, V., Davies, D. and Konopczynski, M. (2010) (WellDynamics), ‘Advanced Wells: A Comprehensive Approach to the Selection Between Passive and Active Inflow-Control Completions’, Paper SPE-108700-PA, Journal of SPE Production and Operations, Vol. 25 (Issue 3), pp305-326.
[3.4] Report: REVIVAL deliverable D5.1 ‘AICV Reservoir Module’. (2014) Khalid Eltaher, E., Muradov, K. and Davies, D. (reviewed and approved by InflowControl) – confidential.
[3.5] Conference: Khalid Eltaher, E., Muradov, K., Davies, D. and Grebenkin, I. (2014) ‘Autonomous Inflow Control Valves - their Modelling and "Added Value"’, Society of Petroleum Engineers Conference, Paper SPE-170780-MS https://doi.org/10.2118/170780-MS
[3.6] Conference: Khalid Eltaher, E., Haghighat Sefat, M., Muradov, K. and Davies, D. (2014) ‘Performance of Autonomous Inflow Control Completion in Heavy Oil Reservoirs’, International Petroleum Technology Conference. Paper IPTC-17977-MS https://onepetro.org/IPTCONF/proceedings-abstract/14IPTC/All-14IPTC/IPTC-17977-MS/153425
Related Research Project Funding:
P1 – Davies (PI): REVIVAL, EU FP-7-SME grant 605701, (EUR1,498,683), Aug,2013- Jul,2015
4. Details of the impact
Lift, processing, transportation, storage and disposal of unwanted fluids (i.e. trapped water and gas in the geological reservoirs) co-produced with oil is one of the most expensive, energy consuming and environmentally unfriendly activities in petroleum production. It is also a key factor limiting the quantity of oil recovered during production. The range of impacts resulting from the ERPE research resulted in not only in a world-first new technology that significantly reduced this co-produced residue but also delivered a series of multi-partner country economic, business and environmental impacts as follows.
(A) Development of a multi-country partnership supply chain for AICVs
The primary objective of the REVIVAL project was to develop an innovative low-cost, high-performance Autonomous Inflow Control Valve to enable increased recovery of oil by preventing breakthrough of water and gas into the oil well. ERPE research [3.4-3.6] underpinned this development and led to a multi country partnership to manufacture and commercially test the AICV technology including: InflowControl (Norway), HP Etch (Sweden), International Syalons (UK), Seal Engineering (Norway), RT Filter Technike (Germany), Norner (Norway) [5.1]. Today, ‘ InflowControl sources the AICV parts from suppliers in Norway, Sweden, France, Germany, the UK and Switzerland, and assembles these parts in Norway to produce the AICV’ [5.2].
(B) World First Installation and Company Growth
InflowControl was a new start-up company in Norway. As a result of the ERPE modelling, the benefits of the technology were quantified, the technology was adopted and the world’s first installation of the AICV occurred in August 2015 [5.3]. InflowControl confirmed that, by November 2020, AICVs had been ‘ installed in over 100 wells worldwide’ [5.4] and the 2019-20 turnover for InflowControl from AICV technology and deployment had been circa USD17,000,000 [5.1].
(C) Economic Impact with International Reach
Each oil field may typically require 100 valves [5.2] and the AICV modelling designed and developed by the ERPE team demonstrated [3.4] the positive impact of the AICV on the oil production and recovery rates, allowing full economic justification and payback to be clearly provided for different reservoirs/customers [5.1, 5.5].
Provision of quantifiable evidence from the ERPE reservoir simulation model assisted in overcoming a major marketing barrier by allowing customers to model the additional cost/benefits offered by the novel AICV system for their oil fields [5.1]. The CEO of InflowControl has stated that the ‘ research helped to *identify and develop the best approach to model the performance of a well completed with AICVs in one or more reservoir simulator(s).*’ [5.1]. The modelling also demonstrated the ability of the AICV technology to improve the production and recovery rates, enabling more complete economic appraisal of reservoirs to a wider customer base [5.1]. This enabled InflowControl to grow substantial global reach:
- By late 2020 inflow client companies were installing the AICV in ‘ Canada, Saudi Arabia, Russia, Oman, Norway, Bahrain and China. The AICV® wells cover a large number of applications, onshore and offshore, carbonate and sand stone, new and retrofit, ultra-light, light, medium, heavy and extra heavy oil for gas, steam, CO2 and/or water choking/shut-off’ [5.6]. Further, the technology has demonstrated significant increase in oil production of 38% on average [5.4]. In some cases, depending on the geology and other characteristics of the oil field the AICV can increase oil recovery from 50% to 80% [5.2].
- InflowControl reported operational cost savings for a client in the Middle East in 2020, for one field alone in the ‘first year’ of operation, of USD2,000,000, with a ‘water cut’ reduction of 68%, (due to reduced water handling costs). Oil recovery from the existing wells as a result of the AICV deployment was enhanced by 18% [5.7].
- Another major operator with one of the largest fields in the world had areas of the field that could not be recovered, due to an excessively high Gas Oil Ratio (GOR). After fitting AICVs in a well, the GOR ‘reduced by over 85%’, resulting in significantly enhanced oil recovery [5.8].
- In a Middle East AICV deployment, ‘ within the first 12 months of the well having been brought on line with the AICV retrofit completion, the operator earned a net gain of over 51 times the cost of the retrofit completion, including rig costs’ [5.9]
(D) Optimisation Modelling and Knowledge Exchange for AICV Deployment
The ERPE underpinning research [3.4-3.6] showed how the AICV technology and modelling could be deployed successfully while also ‘adding value’ when compared to existing passive valve control technologies and approaches. This evidence through reservoir simulation models supported the InflowControl marketing strategy and the additional cost/benefits offered by the novel AICV system. With [3.4-3.6] and an early consultancy project for Woodside Energy by ERPE [5.5], to assess the future potential of the AICV, the engineering design process was informed across the consortium partners, which was previously stated by the CEO of InflowControl as ‘ helping to identify and develop the best approach to model the performance of a well completed with AICVs in one or more reservoir simulator(s).’ [5.1]. The ERPE findings and partnership with InflowControl has also been disseminated widely through the international network called the ‘InflowControl Forum’ supporting knowledge exchange involving major oil and engineering companies such as Total, Chevron, Shell & Halliburton [5.10]
(E) Positive Environmental Impact
Water and gas trapped in the geological reservoirs, co-produced with oil, is one of the most expensive, energy consuming and environmentally unfriendly activities in the petroleum business. Over 75% of fluid produced from oil reservoirs today is dirty water. ERPE researchers were the first to quantify the long-term potential of AICV technology to restrict inflow of unwanted fluids (improving environmental outcomes) and enhance oil recovery. Based on the results from the REVIVAL project, the performance and the functionality of the AICV were compared to competing technologies. The significant advantage of this AICV compared to the passively controlled valves is that it can operate actively and, if necessary, close completely to prevent breakthrough of unwanted fluids. Enhancing oil recovery and reducing co-produced waste reduces significantly the direct environmental impacts and importantly also reduces the operational carbon footprint [5.1] through reduced unwanted water/gas handling with consequent economic cost savings. InflowControl reported in 2020 that, across the range of client projects with AICV installations, ‘the gas oil ratio (GOR) and/or water cut (WC) had been reduced significantly’ (by 89% on average) [5.4]. This has supported the environmental marketing aspects for InflowControl to their clients “ Environmental benefits are achieved by reducing gas and water production, which supports companies goals of being less carbon intensive within their total production operations” [5.11].
5. Sources to corroborate the impact
[5.1] InflowControl, CEO; (Named individual who can be contacted to corroborate impact)
[5.2] EU Commission website outlining some of the AICV technology benefits. New valve increases oil recovery for better fuel security (2017) https://ec.europa.eu/research/infocentre/article_en.cfm?id=/research/headlines/news/article_17_02_08_en.html&artid=&caller=AllHeadlines
[5.3] World-first deployment of the AICV valve and system (August 2015).
https://www.inflowcontrol.no/news/five-years-since-first-global-aicv-installation/
[5.4] InflowControl technology success overview – detailing 100 wells, average increase in oil output 38% and ‘water decrease 89%’(2020) https://www.inflowcontrol.no/aicv-technology/used-in-over-100-wells/
[5.5] Woodside Energy Ltd, Chief Reservoir Engineer; (Named individual who can be contacted to corroborate impact – of the first assessment on deployment impacts and return)
[5.6] Applications to diverse oil field types, new and retrofit and range of countries. https://www.inflowcontrol.no/aicv\-technology/retrofittable/
[5.7] InflowControl case study, ‘68% Water Cut Reduction: 6 AICV® Wells Within a Mature Heavy Oil Field’, (2020). https://www.inflowcontrol.no/case-studies/case-study-3-68-water-cut-reduction-in-6-mature-heavy-oil-wells/
[5.8] InflowControl case study, 85% Gas Shut-off in Mature Carbonate Reservoir with Ultra-Light Oil’, (2020). https://www.inflowcontrol.no/case-studies/case-study-1-85-gas-shut-off/
[5.9] JPE short paper by InflowControl – Demonstrating significant benefits within first year and also 51:1 ratio revenue return on install costs (May, 2020).
https://jpt.spe.org/autonomous-valve-controls-excess-water-gas-production-increase-oil-recovery
[5.10] InflowControl Forum (2017) where ERPE experts were 3 of the 15 presenters at the international knowledge exchange event, demonstrating the novel AICV technology and modelling optimisation capabilities to major oil and engineering companies. (Event Programme)
[5.11] InflowControl website. ‘About us, leading the way’. https://www.inflowcontrol.no/about-us/
- Submitting institution
- Heriot-Watt University, University of Edinburgh (joint submission)
- Unit of assessment
- 12 - Engineering
- Summary impact type
- Technological
- Is this case study continued from a case study submitted in 2014?
- Yes
1. Summary of the impact
ERPE research by the University of Edinburgh (UoE) led to the development of hydraulic digital displacement technology, which optimises fuel savings and operational capabilities. Through a partnership with Artemis Intelligent Power Ltd (Artemis) utilising the existing underpinning research findings by ERPE staff during the period 2000-2011, the multiple engineering, business and environmental impacts include:
(A) World-first utilisations of the Digital Displacement® technology with major transport industry partners, in hybrid buses, diesel rail cars and rail passenger carriages;
(B) Fuel savings between 10% and 25% were demonstrated on rail and hybrid buses, with commensurate reductions in pollution and CO2 emissions;
(C) Digital Displacement® pumps were deployed in full-size 16 Tonne construction excavators for the off-road market, resulting in fuel savings of 10-28%;
(D) Artemis growth was supported through a GBP22M investment from the Advanced Propulsion Centre UK and world-leading hydraulics company Danfoss Power Systems, to establish a new UK manufacturing facility, supporting 60 existing and 30 new jobs to enable further inward investment, innovation and economic growth.
In 2015, Artemis was awarded the prestigious Royal Academy of Engineering MacRobert Award, based on the Digital Displacement® technology underpinned by the ERPE research.
2. Underpinning research
The team of ERPE researchers at the University of Edinburgh: Salter, Rampen, Caldwell, Taylor, Kiprakis, Payne and Chick; invented and pioneered the development of digitally controlled hydraulic drive technologies. Originally invented in 2001-2 to efficiently and flexibly convert variable, reciprocating-cyclic, slow-speed high-torque wave power [3.1] to uni-directional, constant high-speed drive power for generators, the technology was translated to the independent control of single and distributed drive trains across diverse vehicle and renewable energy platforms.
The engineering research breakthrough was the development of high-speed digitally-controlled solenoid-operated poppet valves to individually control the admission and discharge of very high pressure oil into multiple chambers in hydraulic pumps and motors on a stroke-by-stroke basis. Annular ring-cams, driving pistons, distributed the working stresses over multiple lines of force and overcame the fundamental structural and fatigue limitations of previous technologies. From the earlier quasi-static control design, the concept achieved ‘fully dynamic control’ using the principle of Digital Displacement, registered as ‘DD®’ technology [3.2] and fundamentally enabled many tidal, wind and wave energy converter applications [3.3], all of which are characterised by high-force & slow-speed primary power [3.4]. Other applications included large and small vehicle drives [3.5] used in on- and off-road settings, including construction, agriculture, and storage. The published research led to international invitations to deliver keynote lectures at the Scandinavian International Conferences on Fluid Power, Linköping (2009, 2013 and 2017), American Society of Mechanical Engineers 2012, and the Institute for Fluids and Systems in Aachen, Germany (2014).
This novel digital electronic control increased the efficiency by enabling low-loss pumping strokes to be combined with very low parasitic-loss idle strokes, to meet the instantaneous flow requirements. Discharging the oil into high-pressure accumulators provided smoothing and energy storage. The reversible nature of the motors allowed them to return regenerated energy to store in the accumulators. The research developed adaptable algorithms that matched valve timing to shaft speed, pressure and flow, establishing a fluid power technology that offered increased part- and full-load efficiency over a wide range of input- and output-speed variation, as if the drive included a continuously variable-ratio toothless gearbox. Timing valves designed to operate at near zero flow velocities reduced losses and noise. Operating with multiple cylinders in a radial geometry that could be stacked axially, offered modular construction and increased power rating. The very fine control addressed the need for precision movement in materials handling, in end-product ranges from forklift trucks through front- and back-hoe excavators, to large earthmover drives.
This novel ERPE technology was developed in partnership with Artemis Intelligent Power Ltd and the company established new R&D state-of-the-art facilities (2008) in Midlothian near Edinburgh. Artemis and ERPE staff continued to collaborate in the development of the DD® engineering technologies through industrial PhD studentships. The company was acquired by Mitsubishi Heavy Industries Ltd (MHI) in 2010 and both organisations formed a strategic partnership to design the world’s largest hydraulic transmission for MHI 7MW offshore wind turbine. In 2011 the first 1.5MW DD® wind turbine transmission was tested in the Artemis laboratory, which was expanded in 2012 to become a new 1,000 m2 test facility. The research contributions underpinning Artemis DD® innovation were:
Invention of high-speed digitally controlled valves, timed to control the flow of high pressure oil into multiple services in complex hydraulic systems [3.1];
The design and system integration of a ring-cam to create a “hydraulic gearbox” [3.2] with one quarter of the losses of swashplate machines, ten times faster response and elimination of high-frequency noise;
The development of computer control systems that included performance optimisation, on-line diagnostics and integrated automation;
These combined to enable Artemis to develop the world’s largest and most efficient hydraulic transmissions, which could enable ever larger and more reliable wind and tidal turbines [3.3, 3.4], large off-road and other vehicles [3.5]. The paper [3.3] was the first dynamic model of a large hydraulic transmission. The Artemis system was engineered to be made from commonly available and recyclable materials (supporting circular economy objectives), using regular manufacturing processes to significantly reduce the cost and to ensure that the systems can be maintained by existing staff, making it globally accessible.
3. References to the research
[1] Journal. Salter, S.H., Taylor J.R.M. and Caldwell, N.J., “Power Conversion Mechanisms for Wave Energy”, Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Marine Environment, Vol. 216, pp. 1-27, June 2002. https://doi.org/10.1243/147509002320382103 This paper compares and contrasts energy conversion techniques from several international groups presenting 14 clear and concise design conclusions. It shows in detail the application of the Artemis DDTM technique for wave energy conversion.
[2] Journal. Rampen, W., Ehsan M. and Salter, S.H. (2000) “Modelling of digital-displacement pump-motors and their application as hydraulic drives for non-uniform loads”, Transactions of the American Society of Mechanical Engineers (ASME) Journal of Dynamic Systems, Measurement and Control, Vol. 122, No. 1, pp210-215.
https://doi.org/10.1115/1.482444 A paper showing the fundamental operating characteristics of the DD® machines, also revealing transformation of fluid power along the common crankshaft for energy regeneration to an accumulator.
[3] Journal. Payne, G.S., Kiprakis, A.E., Ehsan, M., Rampen, W.H.S., Chick J.P. and Wallace, A.R., (2007) “Efficiency and Dynamic Performance of Digital Displacement® Hydraulic Transmission in Tidal Current Energy Converters”, Proceedings of the Institution of Mechanical Engineers Part A: Journal of Power and Energy, Vol. 221, No 2, (Paper 207), pp. 207-218, March 2007. https://doi.org/10.1243/09576509JPE298
[4] Conference. Rampen, W., Riddoch, F. and Taylor, J.R.M. (2006) “Gearless Transmissions for Large Wind Turbines”, DEWEK –Conference of the German Wind Energy Association, Bremen, Nov. 2006. This paper describes the DD® transmission for multi-megawatt wind turbines, revealing the general layout of an integrated pump and main rotor, with twin motor and generator units.
[5] Conference. Taylor, J.R.M., Rampen, W., Robertson, C. and Caldwell, N. (2011), “Digital Displacement Hydraulic Hybrids”, Japanese Society of Automobile Engineers Annual Congress 2011. This paper details a drive system designed for a hybrid bus.
4. Details of the impact
The strategic partnership with ERPE researchers and ensuing underpinning research led to a series of impacts through Artemis Intelligent Power Ltd (Artemis). This case study outlines and continues the significant impacts arising with Artemis during the REF 2021 period, 2014-2020, involving Artemis (the primary beneficiary of the underpinning research [3.1 – 3.5] relating to Digital Displacement pump technologies ‘DD®’ as detailed in the REF 2014 submission). The impacts with Artemis in this return period include the following.
(A) Digital Displacement Technology Transmissions Installed in Trains and Buses
During 2013-15 Artemis worked with leading engineering companies Ricardo and Bombardier on the project ‘Digital Displacement Rail Transmission with Flywheel Energy Storage’ which was supported by Innovate UK. Using the Artemis Digital Displacement pump-motors, based on [3.1, 3.2], the project demonstrated the recovery of braking energy from diesel multiple unit (DMU) rail cars, storage of the energy in advanced Ricardo flywheels and then its re-use to save diesel fuel during vehicle acceleration. Such energy recovery is commonplace in electric locomotives, but not diesel power units, and there are many rail routes where electrification is unlikely to be economically feasible in the foreseeable future. According to Ricardo this application “achieved a fuel saving of 10% and …means that the technology has a potential return on investment of inside five years.” [5.1].
In 2014, Artemis in joint partnership with Lothian Buses and Alexander Dennis, an international coach manufacturer, building on [3.5], developed a hybrid bus system using the DD® technology and achieved a 2-3 year return on investment, under similar passenger-route-miles conditions, without subsidy [5.2].
(B) Demonstrated Fuel Savings Leading to Lower Pollution and CO2 Emissions
The hybrid bus system using DD® technology demonstrated fuel savings of 25% [5.2]. In June 2018, Artemis was awarded the top environment prize at the UK National Railway Innovation Awards for their fuel savings and emissions reductions, following their partnership project with Scotrail [5.3]. By 2020, Artemis had demonstrated through various joint partnerships (2015-2019), that using DD® technologies across diverse rail stock types [5.4], could lead to fuel savings and environmental benefits such as:
Diesel locomotives (saving 2,500 to 5,000 litres of fuel annually; and 6T to 13T reduction in CO2 emissions);
Track maintenance vehicles (saving 7,000 litres of fuel annually per vehicle; approx. 20%);
Diesel Class 170 Scotrail Turbotrain carriage vehicles (saving 9,000 litres of fuel annually per vehicle, 6.7%), during a 7-month in-service assessment.
In July 2015, Artemis and staff were awarded the prestigious Royal Academy of Engineering MacRobert Award – the ‘premier award for UK innovation in engineering’ – for the invention and development of Digital Displacement technologies [5.5]. The award ‘identifies outstanding innovation with proven commercial success and tangible social benefit’. The judging panel selected Artemis for helping ‘to solve one of the most significant global challenges while demonstrating technical engineering excellence’ [5.6].
Dame Sue Ion DBE FREng, Chair of the judging panel, said “ The Artemis story is truly compelling…and has achieved a technical advance of global importance, and… facilitating the global goal of reducing CO2 emissions. This is not simply evolutionary improvement but a complete step change, and one that took years of commitment to achieve. The Artemis Digital Displacement system is both an incredible piece of invention, and a brilliant example of detailed engineering design. It represents excellence in multiple facets of engineering, from control system technology to software and elegant mechanical design … Artemis has produced a unique, world-beating product and is realising significant commercial success as a result. As a UK SME, Artemis represents the very best of modern UK engineering with global significance.” [5.6]
(C) Digital Displacement® Pump in Full-size 16 Tonne Excavators (off-road market)
In 2016 Artemis entered the off-road arena by building on the Digital Displacement pumps research [3.2] for utilisation into a 16T excavator to demonstrate to major original equipment manufacturers (OEMs) the fuel economy and productivity benefits of the technology in the off-road machinery market, annually worth USD3.5 Billion.
Funded with support from Scottish Enterprise, the project replaced the existing pump with a tandem Digital Displacement pump. All modern excavators have a number of problems: the conventional mechanical pumps have substantial energy losses, as the valve systems waste fluid energy by throttling flow to control multiple axes. In 2017, Artemis reported that 70% of the engine shaft power of a modern excavator was lost as heat in the hydraulic system [5.7]. Using DD®, derived from the original underpinning ERPE research [3.1, 3.2], Artemis developed fine-control that unlocked the ability to convert engine power, delivered at the optimum operating point, into repeated linear motions. Comparative testing of the modified and standard excavators showed that when the modified excavator was operating in ‘efficiency mode’ a fuel saving of up to 21%, and a productivity improvement of 10%, was possible. In ‘productivity’ mode, a 28% productivity improvement was recorded with a 10% fuel saving [5.7].
(D) Company Support and New Jobs
Up to 2013, based on the technologies underpinned by the research reported, Artemis/MHI had accumulated a portfolio of 87 patent families and had secured support from Scottish Enterprise, Energy Saving Trust, Carbon Trust, Technology Strategy Board and the Department for Energy & Climate Change.
In October 2018, and building on [5.7], Artemis secured GBP11,000,000 investment from the Advanced Propulsion Centre UK, to help develop the next generation of ‘Digital Displacement’ hydraulic pumps and motors [5.8] to be used in off-road vehicles such as excavators, wheel loaders and material handling equipment. This was part of an overall GBP22,000,000 project, collaborating with global mobile hydraulics manufacturer Danfoss and Scottish firm Robbie Fluid Engineering [5.8].
In November 2018, it was announced that, building upon the potential of Artemis and Danfoss leading edge technologies and engineering capabilities, a new multi-million pound manufacturing plant would be established near Edinburgh [5.9]. Many key ERPE researchers had already been employed among Artemis 60 staff, either directly or through secondments. This facility will increase the people employed to 90 staff.
From January 2021, Artemis will be called Danfoss Scotland Digital Displacement Ltd. NOTE: Construction and completion of manufacturing plant has been delayed due to COVID-19 restrictions.
5. Sources to corroborate the impact
[5.1] Artemis webnews: Partnership with Bombardier and Ricardo – Fuel savings in rail vehicles of 25% (June 2015). http://www.artemisip.com/saving-fuel-in-rail-vehicles/
[5.2] Artemis brochure for bus vehicles, stating the 25% fuel savings (April, 2015)
http://www.artemisip.com/wp-content/uploads/2017/11/2017-11-07-Bus-brochure-v4-web.pdf
[5.3] 2018 National Railway Environment Award for Artemis (June, 2018) http://www.artemisip.com/artemis-scoops-environment-prize-at-national-railway-innovation-awards/
[5.4] Article in ‘Rail Professional’. Evidencing the fuel savings and CO2 reductions using the Artemis Digital Displacement technologies for diverse rail vehicles. (June, 2020)
[5.5] News article, MacRobert Award (2015), http://www.artemisip.com/124-2/
[5.6] Royal Academy of Engineering – MacRobert Award, the premier award for UK innovation in engineering (July, 2015)
[5.7] iVT-Off-Highway Annual 2018. Article - summarising fuel savings and productivity improvements of E-dyn 96 DD Hydraulic Pumps in modified 16Tonne excavator (Nov, 2017)
[5.8] Major investment to develop and manufacture digital displacement technologies for the off-road-vehicles market, such as excavators. (Aug, 2018)
[5.9] New multi-million pound investment into UK by Danfoss Power Systems into new joint manufacturing plant and new 30 new skilled jobs (Nov 2018)
- Submitting institution
- Heriot-Watt University, University of Edinburgh (joint submission)
- Unit of assessment
- 12 - Engineering
- Summary impact type
- Technological
- Is this case study continued from a case study submitted in 2014?
- No
1. Summary of the impact
EPSRC funded research supported ERPE researchers Borg and Reese to develop new complex fluid dynamic engineering solvers and deliver extensive impact, as follows:
(A) The solvers have been incorporated into dsmcFoam+ open-source software, enabling accurate simulation of the physical behaviour of rarefied gases, which is essential for companies to design-engineer products and systems that operate in low-pressure, micro/nano scale or hypersonic environments. dsmcFoam+ was further incorporated within OpenFOAM software by OpenCFD Ltd in 2018, now with an international user-base and 200,000 annual downloads;
(B) In 2018 the full software was described as ‘ground breaking’ by multi-national company ASML in their adoption to design, model and manufacture Extreme Ultra Violet (EUV) photolithography machines of huge complexity (unit cost up to USD200M) used by the world’s largest manufacturers of advanced integrated circuits, including Samsung and Intel;
(C) The software was utilised by aerospace engineering consultancy FGE to model jet propulsion designs in planetary atmospheres for European Space Agency missions since 2014;
(D) It was also used in the design of the CERN Beam Gas Curtain to model the continuous and molecular flows in the electron beam gun nozzle.
2. Underpinning research
Direct Simulation Monte Carlo (DSMC) modelling is a methodology for predicting the behaviour of gases in many different types of environments. The late Professor JM Reese was a pre-eminent developer of DSMC and joined the University of Edinburgh in 2013. From 2013-2019 he carried out EPSRC-funded research [P1] and collaborated in multi-institutional national and international partnerships, with groups including Strathclyde, Warwick, Glasgow, Michigan, US Air Force Office of Scientific Research and Brazilian aerospace research institutes, that made use of the EPSRC-funded ARCHIE WeST High-Performance Computer.
Key research drivers were defined by the silicon fabrication industries who required gas simulation capability in the design and development of their multi-million dollar facilities. Examples included being able to model the behaviour of rarefied gases to prevent deformation of silicon wafers or to prevent re-entry of gases into the process machines and avoid contamination of the expensive optical systems and masks. Other drivers included being able to model the gas plumes from satellite rocket motors, or to measure aerodynamic lift on a ‘drag body in motion’ in rarefied gas conditions, such as the Martian atmosphere.
In 2014, Reese and Borg proposed a new hybrid method to simulate heat transfer in dilute gas flows that coupled a continuum-fluid description to the DSMC solver [3.1]. It provided a local correction to a continuum sub-region, enabling the correct flow physics to be maintained over the entire continuum domain. Key advantages over existing techniques included its suitability for assessing complex flow problems at a fraction of the computational cost.
In 2014-15, a new coupling approach [3.2] for the time-advancement of multi-physics models of multi-scale systems was reported. A number of applications were tested, including a comparison with experiments of thermally-driven rarefied gas flow in a micro capillary. This new approach unlocked a key advance in the ability to model and produce analysis results almost 50,000 times faster than a conventionally-coupled solver, while achieving very similar results,.
Reese led the design and development and several applications of open-source software, specifically dsmcFoam code, where he and colleagues improved its code using their research findings and outputs. They tested the application of new developments of their work in the dsmcFoam software platform. Using DSMC procedures, based on microscopic gas information, they applied the quantum-kinetic (Q-K) model and demonstrated its validity when compared with analytical solutions for both inert and reacting conditions [3.3]. Early version test cases were also applied (2014-15) to design and model hypersonic flow benchmarks that would be of significant value to the aerospace sector.
Reese and team investigated the direct simulation of dsmcFoam and its ability to solve low and high speed non-reacting gas flows in simple and complex geometries. The test cases included the Mars Pathfinder probe, a micro-channel with heated internal steps and a simple micro-channel. The findings published in 2015 [3.4] showed that, for every case investigated, adopting this new approach within the dsmcFoam methodology resulted in significantly improved performance compared with experimental and numerical data available in the literature.
Borg joined the University of Edinburgh in 2015 and, funded by EPSRC, worked with Reese to research the validation of the transport of mass, momentum and heat in hybrid DSMC methods. Their work achieved a considerable speed-up for the 2D problem of gas flowing through a microscale crack. Their hybrid method accurately predicted the velocity and temperature variation over the cross-section as well as mass flow rates. They worked closely on the development of the dsmcFoam upgrades (dsmcFoam+) to ensure that the mathematical findings of their research could be embedded in an open software platform and made available to the user community through future upgrades. dsmcFoam+ is now able to rapidly analyse and successfully model 3D examples using OpenFOAM’s functionality. A powerful tracking algorithm ensures that the modelled gas behaves in a physically realistic manner. The software is designed to handle new efficient multiscale parallel simulation and its novelty and originality is its ability to simulate a wide range of physics required by companies developing products in low pressure, micro/nano scale or hypersonic and aerospace engineering environments.
In 2018, the new full version software dsmcFoam+ was launched via OpenFOAM and in parallel, Reese and Borg published an appraisal of the latest contents, methodologies and research applications of dsmcFoam+ [3.6]. This work proved to be key for the future gas modelling within Extreme Ultra Violet (EUV) photolithography machines. [3.6] was the 5th most downloaded paper from Computer Physics Communications in April 2018 and by February 2019 had become the 2nd most downloaded paper within the previous 90 days.
The very high potential for Reese’s ongoing research to deliver further economic, scientific and social benefit to the UK and internationally was recognised in 2018 with the award of a prestigious GBP1.3M Royal Academy of Engineering Chair in Emerging Technologies.
3. References to the research
[3.1] Journal. Docherty, S., Borg, M., Lockerby, D. and Reese, J. (2014) Multiscale simulation of heat transfer in a rarefied gas. International Journal of Heat and Fluid Flow, Vol. 50, pp114-125. https://doi.org/10.1016/j.ijheatfluidflow.2014.06.003
[3.2] Journal. Lockerby, D., Patronis, A., Borg, M. and Reese, J. (2015) Asynchronous coupling of hybrid models for efficient simulation of multiscale systems. Journal of Computational Physics, 284, pp261–272 https://doi.org/10.1016/j.jcp.2014.12.035
[3.3] Journal. Scanlon, T., White, C., Borg, M., Palharini, R., Farbar, E., Boyd, I., Reese, J. and Brown, R. (2015) Open-source direct simulation Monte Carlo chemistry modelling for hypersonic flows. AIAA Journal, Vol. 53, (Issue 6), pp1670-1680. https://doi.org/10.2514/1.J053370
[3.4] Journal. Palharini, R., White, C., Scanlon, T., Brown, R., Borg, M. and Reese, J. (2015) Benchmark numerical simulations of rarefied non-reacting gas flows using an open-source DSMC code. Computers and Fluids. Vol. 120, pp140-157. https://doi.org/10.1016/j.compfluid.2015.07.021
[3.5] Journal. Docherty, S., Borg, M., Lockerby D. and Reese, J. (2016) Coupling heterogeneous continuum-particle fields to simulate non-isothermal microscale gas flows. International Journal of Heat and Mass Transfer, 98, pp712-727 https://doi.org/10.1016/j.ijheatmasstransfer.2016.03.040
[3.6] Journal. White, C., Borg, M., Scanlon, T., Longshaw, S., Emerson, D. and Reese, J. (2018). dsmcFoam+: An OpenFOAM based direct simulation Monte Carlo solver. Computer Physics Communications, 224, pp22-43 URL: https://doi.org/10.1016/j.cpc.2017.09.030
P1 - EPSRC funded project. EP/K038621/1. The First Open-Source Software for Non-Continuum Flows in Engineering. (PI) Reece, J., GBP344,848 (1/10/13 - 31/03/18).
4. Details of the impact
The multiple impacts arising from Reese and Borg’s research include:
(A) Open-source software which incorporates dsmcFoam+ code
Reese and Borg’s collaboration with ESI’s OpenCFD Ltd led to the incorporation of their engineering design calculations into the development of the unique dsmcFoam+ code to create a state-of-the-art simulation tool that is now embedded within the internationally used software package OpenFOAM [5.1]. The dsmcFoam+ code includes the research findings from [3.6] and uses complex engineering fluid dynamic simulation solvers designed by Reese [3.3], and Reese and Borg [3.4, 3.5], including unsteady, rarefied, reacting flows in complex-3D geometries within the OpenFOAM framework.
The Managing Director of OpenCFD Ltd, owners of ESI-OpenFOAM, stated “ There is a big need for rarefied gas dynamics modelling in the community” [5.1]. The Managing Director of ESI-OpenCFD also acknowledged the impact from Reese and Borg’s work as “ This DSMC software that you and Jason develop is used by some of our big clients in the silicon-wafer industry (e.g. Samsung and ASML), other consultancy businesses in the aerospace industry (e.g. Fluid Gravity Engineering Ltd) and many other academics around the world.” [5.1]
(B) Enabling the mass manufacture of the world’s most advanced microchips - ASML
ASML is a key user of the dsmcFoam+ design modelling software. A multinational company, based in 60 cities in 16 countries worldwide [5.2] and employing over 24,000 staff, it is a global innovation leader in technology for the microchip industry. It provides all of the major integrated circuit (IC) micro-fabricators with the hardware, software and services to use photolithography to mass-produce patterns on silicon [5.2]. The dsmcFoam+ code is essential for the optimal design of ASML’s Extreme Ultra Violet (EUV) photolithography machines that are at the heart of the world’s most advanced IC manufacturing systems. The EUV photolithography machines comprise 100,000 parts [5.2] and cost up to USD200,000,000 each, with the company selling 10 EUVs in the third quarter of 2020 [5.3]. ASML affirmed that the EUVs “ play a vital role in the manufacture of computer chips, mapping out their circuitry” [5.2]. After winning the coveted SEMI Americas award (July, 2020) for their EUV machine, which is designed using the dsmcFoam+ software, their Chief Technology Officer stated “ moving to the extreme ultraviolet (EUV) wavelength of 13.5 nm represented a true paradigm shift, extending to all aspects of light generation, reflective optics, vacuum environment management, wafer stage alignment and a host of other fields” [5.4].
ASML acknowledged Borg’s impact on the development of dsmcFoam+ software and how this had benefitted ASML and their EUV machines, stating “ What we do increases the value and lowers the cost of a chip, which advances us all towards a smarter, more connected world” [5.2]. To enable the fabrication of ever-smaller features in ICs (below the 2nm logic node), lithography machines utilise the shorter EUV light source. Careful control and mixing of gas-flows is critical, however, to avoid temperature variations, wafer deformation and fracture. ASML confirmed “ The use of the software has enabled improved design thinking, related to rarefied gas flows, in sensitive regions of the EUV machine … The ground-breaking research software developed at UoE by Prof Jason Reese and yourself has allowed us to meet some of these scientific challenges in ASML, specifically of modelling non-conventional rarefied gas dynamic physics in complex 3D geometries” [5.2].
ASML supplies [5.5] to the world’s top three IC fabricators including Samsung, Intel and Taiwan Semiconductor Manufacturing Company (TSMC) and their chips are used in Samsung S10 and iPhone X models (which had combined sales of over 50,000,000 in launch years). In the article ‘ EUV lithography: the brave new nanochip era’ [5.5], the advancements in the EUV machines, which were enabled by the new software, were described as “ Think of the old technology as a large paint brush, and a EUV light source as a fountain pen” and how these also supported Moore’s Law [5.5]. Moore’s Law states that as the continual reduction in the size of transistors doubles, about every two years, the number of transistors that can be made (per unit area) on a microchip doubles, while at the same time halving the cost of computing power. The ever-increasing component density makes extreme demands on wafer fabrication technology. ASML stated “ Providing highest-resolution lithography in high-volume manufacturing, ASML’s EUV machines are pushing Moore’s Law forward” [5.6]. This has impacted widely on society by enabling the rise of ever more affordable consumer, industry and business electronics including ubiquitous mobile communications, systems on chips, satellite navigation and medical electronics.
(C) Utilisation by Aerospace Industry and CERN
UK companies such as Fluid Gravity Engineering Ltd (FGE), who undertake space research modelling and aerospace consultancy for the European Space Agency have used dsmcFoam+. They described its use as having a “ substantial impact” on the company [5.7] via consultancy projects they delivered which “ enabled FGE to establish a capability in computing rarefied flows relating to high speed aerodynamics and aerothermodynamics as well as spacecraft propulsion”. FGE utilised since 2014 the early versions of the Borg and Reece dsmcFoam software in projects to model interactions with rarefied gases in the following European Space Agency projects [5.7]:
plume impingement studies for Mars Phobos and Lunar regolith, supporting both engineering aspects of descent module soft landing and scientific analysis of regolith samples,
plume expansion calculations for in-space satellite propulsion, assisting to define the contamination environment, forces and moments from the spacecraft’s control thruster,
ENVISION Aerobraking scenarios: aerodynamic and aerothermodynamic calculations for a prospective Venus orbiter.
In October 2018 the Beam Gas Curtain project at CERN acknowledged the use of dsmcFoam+ to model continuous and molecular flows in an electron beam gun nozzle [5.8].
(D) Supporting Knowledge Networks and Advancing Reach
OpenFOAM is owned and operated by UK company ESI-OpenCFD Ltd [5.1] and has over 200,000 downloads per year with an approximate user-base of 25,000 advanced modellers [5.1]. Incorporating the dsmcFoam+ code into OpenFOAM made it accessible to tens of thousands of people around the world who download and use this software package. The dsmcFoam+, accessible downloads, has been promoted by the multi-institution online network for ‘ Micro and Nano Flows in Engineering’ funded by EPSRC [5.9]. This helped it to reach multi-institution researchers and international industry R&D staff working in this field to improve research capacity and engineering practice. UK and international universities and research institutes that utilise the dsmcFoam+ software to support fundamental and applied research projects include Warwick, Glasgow, Strathclyde, STFC Daresbury Lab, Xi’an Jiaotong and Beihang Universities in China [5.1, 5.9].
5. Sources to corroborate the impact
[5.1] Letter of impact from Managing Director of OpenCFD Ltd (Sept, 2020)
about incorporation of dsmcFoam+ within OpenFOAM owned by ESI-OpenCFD Ltd
stating number of annual downloads and users of OpenFOAM (which includes the dsmcFoam+ version)
diversity of users of dsmcFoam and industry ‘big need’ for this modelling tool for gas flows.
[5.2] Letter from ASML multinational company on significance (ground breaking) of Borg/Reese dsmcFoam software used in the design of high value EUV machines. (Sept, 2020)
[5.3] CGTN News article, Comparative sales by ASML 2020 versus 2019 and sales of EUV 2020 showing 24% increase and value of EUV machines up to USD200,000,000 per unit. (Oct, 2020)
[5.4] Statement by ASML Chief Technology Officer, SEMI Americas Award and role of EUV machines enabling a paradigm shift, (used dsmcFoam+ in their design) (July, 2020) https://www.asml.com/en/news/stories/2020/asml-wins-semi-americas-award-for-euv
[5.5] Article by European patent law firm - describing the impact of EUV lithography, key global market users, advancing Moore’s Law and technology advancements. (10th June, 2019) https://www.newelectronics.co.uk/electronics-technology/euv-lithography-the-brave-new-nanochip-era/216160/
[5.6] ASML website stating how the EUV machines are pushing Moore’s Law forward https://www.asml.com/en/products/euv-lithography-systems (ASML website, 2020)
[5.7] Letter from Fluid Gravity Engineering Ltd, aerospace consultancy company on the impact of early versions of the dsmcFoam+ in ESA projects since 2014. (7th January, 2021)
[5.8] Application of the dsmcFoam+ for the CERN Beam Gas Curtain electron beam nozzle design. See Slide 9 (Oct, 2018) https://indico.cern.ch/event/763536/contributions/3183622/attachments/1737571/2810881/Gas_expansion_into_low_pressure_volume_-_intermediate_1.pdf
[5.9] Online Network for Micro and Nano Flows in Engineering supported by EPSRC – promoting access to open-source dsmcFoam+ to researchers and industry R&D working in this field. (Website - Dec, 2020) https://www.micronanoflows.ac.uk/links-and-downloads/
- Submitting institution
- Heriot-Watt University, University of Edinburgh (joint submission)
- Unit of assessment
- 12 - Engineering
- Summary impact type
- Technological
- Is this case study continued from a case study submitted in 2014?
- No
1. Summary of the impact
Researchers in the Edinburgh Research Partnership in Engineering (ERPE), based at Heriot-Watt University, have invented and developed an Environment and Health Monitoring System (EHMS) that can automate and optimise critical asset operations, quantify existing conditions, predict future State of Health (SoH), and detect precursors to asset failure. The impacts of this advanced condition monitoring system are in its adoption and outcomes within the defence, energy and transport sectors. These include:
(A) EHMS was installed, as a world-first, onto critical aircraft handling equipment on HMS Ocean, the UK’s helicopter carrier and Fleet Flagship of the Royal Navy;
(B) EHMS architecture was chosen by Siemens Energy to be a fundamental sub-system in the development of their new ‘ Assetguard’, an on-line condition monitoring platform. EHMS reduced Assetguard development costs by 40% and resulted in enhanced monitoring capabilities;
(C) As a consequence, Siemens invested GBP 1 Million in the UK to support future research and development;
(D) EHMS was incorporated by Denchi Group Ltd into their SLICEMARINE lithium-ion battery technology (for marine propulsion applications) and was applied to a marine passenger transport system, winning the British Renewable Energy Prize 2018 for Decarbonisation of Transport.
2. Underpinning research
In recent years and across a myriad of industries, there has been a realisation that in order to optimise the Remaining Useful Life (RUL) of assets and to maintain optimal system level performance, a transition to predictive maintenance from reactive and traditional condition-based monitoring and maintenance is required. ERPE researchers have been leading research in the development of Environment and Health Monitoring Systems (EHMS). The drivers for EHMS are the need to automate and optimise critical asset operation, quantify existing conditions, predict future State of Health (SoH) and detect precursors to asset failure.
A key challenge for power distribution and transmission system operators is to relate the retrofitting of monitoring systems to support asset management, aligned with the continuity of service within the electricity supply network. [3.1] demonstrated how a Smart System Integration approach, utilising a wireless sensor network (WSN), can provide a low cost and scalable sensor platform for in-situ sensing of assets within substations. The findings of this research demonstrated the advantageous features of WSNs, namely low cost, rapid deployment, reliable and secure data transfer, adaptive and scalable sensor platform.
The energy sector is driven by, and regulated to ensure, security of supply to end-demand customers, as well as to deliver return on their shareholders’ investments. This predicates a need to invest wisely to maximise the RUL of the existing, ageing asset base in the electricity supply networks. In the UK, depending on location, an unscheduled substation outage can cost the system operator of the order of GBP 1 Million per day and the annual costs of maintaining transmission and distribution network assets in the UK is over GBP 5 Billion.
ERPE staff developed a novel approach [3.2] to hierarchical predictive maintenance of assets through a distributed architecture, represented as domain knowledge-based systems that could provide a transportable, adaptive platform that could be deployed in other systems containing similar multiple assets.
The research detailed in [3.3] combined the synergies of data, modelling and fusion-based prognostic methods to underpin and develop functionalities with embedded intelligence for use in asset management platforms across other readiness-critical areas. In these applications, critical assets require to be maintained in operational readiness for decades, whilst deployed in dynamic operating regimes and in arduous environments. For example, [3.3] demonstrated detailed Failure Mode Effect Analysis (FMEA) of a power relay and this illustrated how intelligent asset management can be enabled to predict the RUL of ship and submarine sub-systems, and to inform product development.
The continuing functionality, reliability and efficiency of critical assets from component to system level depends on being able to monitor status, condition, operating ambient environment and loadings in real time. Following data acquisition, transmission, processing and analysis it is then essential to be able to understand their current SoH and reliably predict their future SoH and RUL, either to schedule maintenance interventions or to ensure timely replacement before failure. Incorporation of sensors and data delivery technology during build can provide significant volumes of data. Intelligent analysis of these data can be fast and relatively cheap, but can also lead to protecting readiness-critical, capital-intense assets and to preserving human safety. Upgrading or modernisation of these system assets can be prohibitively expensive so early identification can reduce such costs through an EHMS approach.
The ERPE EMHS methodology for forecasting asset health and optimising operations is based on Prognostics and Health Management (PHM) methods that permit the assessment of the reliability of the asset in application conditions. EHMS combined (1) sensing, (2) monitoring, (3) interpretation of environmental, operational, and performance-related parameters to indicate an asset’s SoH [3.4]. The ERPE research involved in each step included.
1. A detailed study into the operational decision support requirements of the asset management system. This included the identification of potential Failure Modes, which could lead to a failure event of a critical component or sub-system within the asset. Sensing technologies were then designed and integrated to detect precursors and early onset failures modes. These early indicators would support more accurate forecasting of the assets SoH.
2. Timely acquisition and rapid Big Data Analysis within operational systems. Data analysis to support effective monitoring needs to be able to detect, locate, classify and diagnose events within the data that are indicative of precursors to failure. The ERPE models involved the integration of statistical and machine learning based algorithms.
3. Integrated real time environmental, operational, and performance-related descriptions were created within a reliability ontology of the asset. This reliability model maps the interdependencies, relationships, of components and sub-systems throughout the asset. Data from sensed and non-sensed components are integrated in near-to-real time to provide a holistic and whole system analysis.
Implementation of the above three factors provided a combined structure for the EHMS with the ability to sense and interpret the parameters indicative of (a) Performance degradation, (b) Physical or electrical degradation (c) Changes in a life-cycle profile, such as usage duration and frequency, humidity and vibration. This allowed the EHMS to optimise the performance of the asset by providing intelligent adaptive planning or control feedback into the operation of the asset and to optimise its operational life by reducing the probability of a failure [3.5]. The application of EHMS to electrical systems in marine passenger vessels was also undertaken via [3.6].
3. References to the research
[3.1] Conference: Huynh, N., Robu, V., Flynn, D., Rowland, S., & Coapes, G. (2017) Design and demonstration of a wireless sensor network platform for substation asset management. Paper presented at CIRED 2017, Glasgow, United Kingdom. https://pure.hw.ac.uk/ws/portalfiles/portal/16131210/oap_cired.2017.pdf
[3.2] Conference: Miguelantildeez-Martin, E., and Flynn, D. Embedded intelligence supporting predictive asset management in the energy sector. In Proceedings of the Asset Management Conference 2015 (pp. 7-14) https://doi.org/10.1049/cp.2015.1752
[3.3] Conference: Flynn, D., Herd, D. S., Lofting, D., Record, P. M., and Skinner, N. (2014). Health and usage monitoring systems: enabling the future prediction of remaining useful life of submarines. Paper presented at International Naval and Engineering Conference, Amsterdam, Netherlands. https://researchportal.hw.ac.uk/en/publications/health-and-usage-monitoring-systems-enabling-the-future-predictio
Note: All conference papers were peer reviewed.
[3.4] Journal: Huynh, N., Robu, V., Flynn, D., Rowland, S., & Coapes, G. Design and demonstration of a wireless sensor network platform for substation asset management. CIRED - Open Access Proceedings Journal, 2017(1), 105-108. https://doi.org/10.1049/oap-cired.2017.0273
[3.5] Patent: EP3621096A1 - Gas monitoring system for gas-insulated switchgears https://patents.google.com/patent/EP3621096A1/en
[3.6] Journal. Tang, W., Roman, D., Dickie, R., Robu, V., & Flynn, D. (2020). Prognostics and Health Management for the Optimization of Marine Hybrid Energy Systems. Energies, 13(18), [4676]. https://doi.org/10.3390/en13184676
4. Details of the impact
The underpinning ERPE research [3.1-3.4] led the key stages of the development and trials of the Environment and Health Monitoring System (EHMS) for advanced condition monitoring of critical assets [3.6]. This has resulted in multiple impacts across a range of sectors, including defence, marine, energy and transport. The resulting key impacts of the award-winning collaborations with industry are outlined as follows:
(A) Environment and Health Monitoring System (EHMS)
ERPE researchers have enjoyed a strategic collaborative research partnership with MacTaggart Scott Ltd since 2011. The industry-academic partnership received the 2017 Interface Award for Sustainable Partnership [5.1] and drove planning and support for additional research. This partnership led the development of EHMS.
MacTaggart Scott benefited from the research by having a world-first installation of EHMS on critical aircraft handling equipment on HMS Ocean, the UK’s helicopter carrier and Fleet Flagship of the Royal Navy. This gave the Royal Navy, for the first time, insight into how equipment such as aircraft handling systems are utilised in the field (at sea), while also providing access to previously inaccessible data on critical systems [5.2].
EHMS also provided new insight into the specific loading/duty cycles of the aircraft handling equipment for McTaggart Scott. This informed future bill-of-material (BOM) and factor-of-system (FoS) estimates in the design for reliability (DFR) process. EHMS also provided failure precursor analysis and optimised control of hydraulic systems in the aircraft handling system.[5.2]
In 2015 MacTaggart Scott were invited to present to the Australian Submarine Institute on the applications of the EHMS, and they stated in their summary “ Condition monitoring for outside pressure hull submarine equipment has historically been unachievable due to the need for environmentally capable, power efficient sensing technology with the capability to operate with little or no interaction with the internal submarine environment. Development of the EHMS system enables meaningful data on system performance and operating environment to be gathered throughout a vessel deployment, in a package that requires no pressure hull penetrations”, demonstrating the versatility and unique insights that EHMS can provide [5.3].
MacTaggart Scott described the prognostics research as “ ground breaking” [5.3] and confirmed that the development of the EHMS approach has led to international market growth for the company in Australia and North America [5.2].
**(B) Siemens Assetguard
Siemens Energy needed to replace their legacy Integrated Substation Condition Monitoring (ISCM) platform to take advantage of the advances in data acquisition, processing and advisory communications that new sensors, signal processing and data handling enabled. A Knowledge Transfer Partnership (KTP) from 2013-2016 led to the design and development of Assetguard, a novel sensor technology and fusion based prognostics for the next generation of condition monitoring systems for assets on the grid.
In April 2015, during the early project trials of the EHMS and guided by Siemens collaborators, ERPE staff and doctoral trainees in the EPSRC CDT in Embedded Intelligence researched, designed, built and tested a sensor which could detect partial discharge or localised breakdown within voids in the insulation of high voltage electrical systems. These voids are often the first sign of a potential insulation failure and asset outage. ‘The system would allow operators to pinpoint and deal with the problem before it would have a chance to compromise power supply’ [5.4]. R&D Product Lifecycle Manager at Siemens, Scott Rowland, said, “ The motivation and ingenuity shown by these (EPSRC Doctoral) students was outstanding. The project highlighted the great rewards that can be provided by close collaboration between industry and local universities” [5.4].
The resultant development and outcomes stemming from the KTP resulted in Siemens achieving a 40% saving in total project development cost compared to that of its predecessor [5.5]. The modular design of the Assetguard platform also made it more amenable to customisation enabling improved access to international markets [5.5]. EHMS is now to be found [5.5] in Assetguard across several application domains denoted: Assetguard PDM (Partial Discharge Monitoring); Assetguard CBM (Circuit Breaker Monitoring); Assetguard GDM (SF6 Gas Density Monitoring) and Assetguard MVC (Medium Voltage Circuit Breakers).
(C) Siemens UK investment, patents and partnership
The technical and commercial success of the Assetguard platform development led to Siemens investing an additional GBP1,000,000 into the UK [5.6] to support future research and development, jobs and innovation.
A patent (EP3621096A1) [3.5] also resulted from this research collaboration.
“The knowledge transfer partnership between Siemens and Heriot-Watt University has demonstrated how academia and industry can work together to successfully deliver a paradigm shift in technical capability and resultantly an enhanced service to the clients we serve. With this new technology platform we will continue to grow as a business, as we strive to not only meet but exceed our clients’ expectations.” – R&D Team Leader, Siemens [5.6]
(D) SLICE Marine
ERPE researchers collaborated with Denchi Power (UK company, part of the Denchi Group) in the academic and industrial HyFES consortium, which was supported by Innovate UK. EHMS was incorporated by Denchipower into their SLICEMARINE lithium-ion battery technology for marine propulsion and other applications.
The rapid commercialisation of SLICE arose from the results of in-field research and trials of EHMS. Sponsored by Innovate UK and EPSRC, the project measured three key performance indicators namely; energy performance, environmental metrics and asset health. It was installed on the MBNA Thames Clipper catamaran passenger vessel in London, resulting in a 75-80% reduction in fuel costs over their diesel engine propulsion system [5.7].
The asset management system also reduced operation and maintenance costs of the vessel by providing an advancement from time-based maintenance to predictive maintenance. MBNA vessel engineers and Denchi staff were also able to use the EHMS in SLICE to support autonomous propulsion that reduced noise and pollutant emissions in built-up residential areas adjacent to the Thames operations. The Chairman and Managing Director of Denchi Group Ltd stated, “ The Heriot-Watt team was instrumental to the success of the Hybrid Fusion Energy System (HyFES), demonstrating the power that a data driven approach has on determining the prognostics and asset integrity of any platform” [5.7]. This research and resultant impacts of the Thames Clipper vessel was awarded the British Renewable Energy Prize 2018 for Decarbonisation of Transport [5.8]
5. Sources to corroborate the impact
[5.1] Scottish industry-academia Knowledge Exchange Awards 2017 for MacTaggart Scott and ERPE Heriot-Watt University for sustained partnership supporting innovation, enterprise and growth. https://interface-online.org.uk/news/winners-scottish-knowledge-exchange-awards-announced-0
[5.2] Development Manager of R&D, MacTaggart Scott Ltd
(can be contacted to confirm confirming implementation of EHMS and utilisation on HMS Ocean)
[5.3] Mactaggart Scott paper “Health Monitoring of Marine Equipment” presented to the Australian Submarine Institute on the capabilities of the EHMS, described research as ground breaking and cited advantages as no pressure hull penetrations and new insights from EHMS. https://www.mactag.com/uploads/tinymce/Health%20Monitoring%20of%20Marine%20Equipment.pdf
[5.4] News article on Siemens early partnership in the use of EHMS, linkages to KTP project and role of the ERPE EPSRC Doctoral Training Centre based at the Heriot-Watt Campus
[5.4A] The Next Generation of Power Network Condition Monitoring https://www.hw.ac.uk/uk/schools/engineering-physical-sciences/institutes/sensors-signals-systems/news.htm
[5.4B] Bright sparks help to keep the lights on. https://www.hw.ac.uk/news/articles/2015/bright-sparks-helping-to-keep-the-lights-on.htm
[5.5] Evidence of the development of the Siemens Assetguard System and incorporation of EHMS. R & D Team Leader, Siemens Ltd Hebburn, UK
(can be contacted to confirm creation and application of the Siemens Assetguard System)
[5.6] R&D Product Lifecycle Manager, Siemens Ltd, USA,
(can be contacted to confirm inward investment from Siemens and establishment of Global Centre of Competence in High Voltage Monitoring and Diagnostics)
[5.7] Executive Chairman / Managing Director, Denchi Group
(can contacted to confirm new product development and implementation)
[5.8] British Renewable Energy Awards 2018 – awarded for Low Carbon Transport - MBNA Thames Clipper project. https://www.r-e-a.net/renewable-energy-industry-celebrates-record-breaking-year-at-prestigious-awards-ceremony/
- Submitting institution
- Heriot-Watt University, University of Edinburgh (joint submission)
- Unit of assessment
- 12 - Engineering
- Summary impact type
- Technological
- Is this case study continued from a case study submitted in 2014?
- No
1. Summary of the impact
Research at Heriot-Watt University (HWU), within the Edinburgh Research Partnership in Engineering (ERPE), has developed, patented and demonstrated a way to extract the protein from the pot ale by-product residue of malt whisky production and transform it into feed-stocks for aquaculture. The impacts arising include:
(A) Creation of spinout company Horizon Proteins Ltd (HP) in 2014, to exploit the new bio-technology, described as ‘game changing’, supporting rural circular economies and showcased by government at Milan Expo 2015;
(B) Investment of circa GBP 5,000,000 (2018) towards exploiting research and the planning and construction start of HP’s first manufacturing plant, creating skilled jobs for the rural economy (plant construction completion is delayed due to COVID-19, the new plant has been designed and engineered to treat 200,000 tonnes of pot ale per annum);
(C) Conversion of whisky by-product residue to new HP feed-stock for aquaculture resulted in a 600% increase in the asset value of the residue;
(D) Strategic partnership with EWOS Cargill for business-to-business supply chain of HP feedstock for salmon producer market;
(E) Environmental benefits in reduction of the chemical oxygen demand to treat the waste and using local sourcing for aquaculture feedstock, rather than using imports.
2. Underpinning research
Every year, the Scottish whisky industry brings in around GPB 5 Billion in export revenue but produces over three billion litres of pot ale, a residual by-product that is very challenging to dispose of. For decades, the distilling industry has been striving to develop synergy through increasing both economic and environmental sustainability. The salmon aquaculture industry, which supports 2,300 jobs directly, requires secure supplies of affordable, sustainable, high quality protein feed ingredients to realise annual export revenues of around GBP 800 Million.
Driven by the challenges both diverse industry sectors faced, the ERPE researchers, led by Prof Willoughby, started the investigation in 2011 of the potential of converting this residual by-product from the whisky industry into a high quality protein feed that could serve the aquaculture sector (e.g. the salmon industry). This would support a strategically important rural economy sector. The research was multi-inter-disciplinary, involving Engineering & Physical Sciences, Biological Chemistry, Biophysics and Bioengineering, Mechanical, Process and Energy Engineering.
The research challenges for the needs of both whisky and aquaculture industries were paramount in terms of the early underpinning research involving: integration with existing architecture; utilising only currently used (and food-safe) materials; zero impact or perceived impact on whisky production (exports to 175 countries and directly supporting 10,000 jobs); and the process must first and foremost be economically and environmentally sustainable [3.1, 3.2].
The key underpinning research was to overcome the challenge of accessing and recovering soluble protein from pot ale. As a protein resource, this was previously poorly utilised due to the inability to find a viable extraction process. From a small research project in early 2011, initial feasibility results showed promise in reversible adsorption of protein to low cost solid-phase adsorbents. This led to funding being secured from Scottish Funding Council in late 2011 [P1] for a postdoctoral researcher and the commencement of a PhD project.
The early research work built on both the initial findings and Willoughby’s research background in developing therapeutic protein purification processes, while the postdoctoral side of the project focused on the commercial aspects, sustainability and life cycle analysis. The research findings resulted in a viable full process for recovery of protein components of value, with the critical finding [3.3] being the ability of the developed process to reversibly bind over 80% of the protein content of pot ale to a solid phase adsorbent, under normal pot ale discharge conditions. This protein can then be recovered as a pure solution, concentrated and dried [3.4]. Solid phase adsorption is a widely applied pharmaceutical and water treatment technology and is robust and easily scalable, but had never previously been used reversibly in-situ to recover usable protein.
The alternative protein processing approach, involving reversible binding and recovery of therapeutic and pharmaceutical-grade protein, is commonly carried out by ion exchange chromatography. The adsorbents used in these processes, however, are far too expensive to be economically sustainable in the pot ale process, and their size and lack of rigidity would result in operationally challenging pressure drops in large scale columns.
Central to this technology was to identify a food-grade adsorbent that is widely available and economically viable. In addition, this adsorbent must have a high protein binding capacity, to ensure the process was viable at scale, and must have an open, microporous and rigid structure to ensure operational robustness and low pressure drops at scale. After testing a number of solid phase candidates and identifying several promising possibilities, the research then moved into designing and validating a process with end-routes for all product and by-product streams [3.5, 3.6].
The success of the early project in developing a viable protocol allowed securing of further funds in 2014 from Scottish Enterprise for translational research within ERPE [P2]. This allowed the research team to design, develop and manufacture a processing plant capable of treating pot ale on-site at distilleries; this plant was used for trials in 2015 and 2016 to improve understanding of processing conditions and to seamlessly integrate with current distillery architecture, as well as to produce enough protein to enable larger scale feed trials in Salmon in 2016/17. Further funding from the Industrial Biotechnology Innovation Centre (IBioIC) supported research exploring the broader potential of the technology within the grain whisky, grain spirit, US rye and bourbon processes [P3, P4]
The work was further supported via an RSE Enterprise Fellowship (2016) to better understand the commercial potential of the protein product in feed and food sectors.
The positive results in both the salmon trials and the demonstration of the process operating in distilleries allowed the commercialisation of the technology at this stage, with the IP being licenced to Horizon Proteins by ERPE in 2016, and then fully assigned in 2020.
3. References to the research
[3.1] Journal. Whisky by-products: a valuable source of protein and potential applications in aquaculture (2014). White, J., Traub, J., Maskell, D.L., Hughes, P., Harper, A. Willoughby, N. New Biotechnology Vol. 31, S118, https://doi.org/10.1016/j.nbt.2014.05.1899
[3.2] Conference. Maskell, D.L., White, J., Traub-Modinger, J., Hughes, P., & Willoughby, N. (2016). Creating a new market opportunity for whisky by-products. In I. Goodall, R. Fotheringham, D. Murray, A. Speers, & G. Walker (Eds.), Worldwide Distilled Spirits Conference: Future Challenges, New Solutions (Vol. 5, pp367-370). Nottingham, United Kingdom https://researchportal.hw.ac.uk/en/publications/creating-an-new-market-opportunity-for-whisky-by-products-challen
[3.3] Journal. Characterisation of pot ale from a Scottish malt whisky distillery and potential applications (2020) White, J., Stewart, K., Maskell, D.L., Diallo, A., Traub-Modinger, J. and Willoughby, N. American Chemical Society, ACS Omega. Vol. 5, (Issue 12), pp6429-6440. https://doi.org/10.1021/acsomega.9b04023
[3.4] Journal. Batch anaerobic digestion of deproteinated malt whisky pot ale using different source inocula (2018) Barrena, R., Traub, J., Rodriguez Gil, C., Goodwin, J., Harper, A., Willoughby, N., Sánchez, A., and Aspray, T. Waste Management Vol. 71, pp675-682, https://doi.org/10.1016/j.wasman.2017.06.025
[3.5] Patent (granted 2019). #10,214,559 - 2019 (PCT/GB2015/051944 – 2015). Protein recovery. https://patents.justia.com/patent/10214559
[3.6] Book. Recovery and applications of proteins from distillery by-products. White, J., Traub, J., Maskell, D.L., Hughes, P., Harper, A. and Willoughby, N. (2016) In: Protein By-products. Transformation from environmental burden into value-added products. Chapter 13, pp235-253. Editor GS Dhillon. Elsevier.
P1 - Willoughby (PI): Fermentation Process Co-Products: Integrated Protein, Energy and Feedstock Recovery, Scottish Funding Council Horizon Fund (GBP700,000) Sept 2011 – August 2014 (Includes industrial contribution)
P2 - Willoughby (PI): Horizon Proteins, Scottish Enterprise High Growth Spin Out Phase II/III (GBP665,000) involving (GBP527,000 academic research funding to ERPE, November 2014 – October 2016; GBP138,000 investment in the spin-out of Horizon Proteins from October 2016 onwards).
P3 - Maskell (PI): New world by-products, IBioIC Exemplar (GBP162,000), Jan, 2016 –Dec, 2016.
P4 – Maskell (PI): Sustainable Products: Innovation, Recovery and Integrated Technology, IBioIC Accelerator (GBP40,000), Feb, 2016 – Sept, 2016.
4. Details of the impact
The impacts arising from the underpinning ERPE research are parallel increases in economic and environmental sustainability in strategic key rural industry sectors, both the whisky and aquaculture industries. A range of impacts have resulted - involving local, national and international platforms supporting business development and key policies and strategies of the circular economy. The key impacts are as follows:
(A) New Spinout Company: Horizon Proteins Ltd (HP)
ERPE staff decided in 2014 to commercialise the emerging process and develop the research further via a spinout company. Funding was secured through Scottish Enterprise’s elite High Growth Spinout Program (HGSP) to support the applied research transition. Horizon Protein Ltd (HP) was registered as a company in 2014 [5.1, 5.2] and full operations of the spin-out company commenced in 2016. ERPE staff and HP subsequently identified a route to economically separate the protein and Scottish Enterprise awarded GBP575,000 assistance [5.2], along with GBP138,000 industrial support, to refine the process in collaboration with distillers and aquafeed manufacturers [5.3]. At the announcement of the funding for HP, Eleanor Mitchell, Director of Commercialisation at Scottish Enterprise, said: " We are very excited to be supporting a project with the potential to not only create high value jobs in Scotland but to also provide such significant value-add to the iconic Scottish food and drink industries, salmon and whisky".
By adapting techniques more commonly applied to high-value pharmaceutical products, HP developed the unique, cost-effective separation and extraction process [5.3]. Ultimately, it has managed to transform a historically underused by-product and increased the sustainability of various distillery processes [5.3].
In June 2015, a key report into the Circular Economy involving a ‘Sector Study: Beer, Whisky and Fish’ by Zero Waste Scotland, Scottish Government, Scottish Environment Protection Agency and enterprise agencies, cited Horizon Proteins (HP) 24 times in the document. HP was described as a key example of a circular economy ‘ could offer a game-changing opportunity’ [5.4] coupling both whisky and salmon industries for the important ‘ meaningful contribution to rural economies’, with the ‘ pot ale by-product sector valued at GBP80,000,000 being a realistic market sector value’ [5.4]. The report further stated that HP is a ‘ key development’ and ‘ a bonus as pot ale is in less competition with the cattle feed markets than draff. It may also offer a potential solution for smaller or isolated distilleries: Horizon Proteins is developing a form of their technology designed to operate at smaller scales’.
In 2015 Horizon Proteins were invited by Scottish government to showcase their pioneering circular economy approach for the food and drink by-product sectors at the Milan Expo 2015 [5.5]. In 2016, HP was a case study cited in a Mayor of London report ‘Circular and Sharing Economy’, by Arup Associates, as an industry example of converting organic waste to proteins [5.6].
(B) Joint venture with Rothes CoRDe to build HPL Manufacturing Plant
Further key investment was raised in 2018, as a result of HP being engaged with the top two companies (Diageo and Pernod Ricard) producing more than 60% (by production volume) of Scottish whisky output. Funding of GBP4,000,000 was raised to support the construction of Horizon Proteins’ first manufacturing plant, as a joint venture with Rothes CoRDe Ltd, on their site in Rothes, Scotland [5.7]. Funders included SiccaDania Venture [5.8], Danish high-net-worth individuals and the Scottish Investment Bank.
(C) New Production Plant - £4m investment supporting rural economy and jobs
The construction process for this plant is underway (delayed due to COVID-19) and will initially be able to treat 200,000 tonnes of pot ale per annum to produce around 2,500 tonnes per annum (tpa) sustainable protein from pot ale, expanding in 2023 to full capacity of 1 Million tpa of pot ale and 12,000 tonnes tpa of sustainable protein. This plant has been designed to produce revenues of GBP 2.25 Million initially, rising to GBP 11.25 Million at full capacity.
EWOS Cargill have agreed to purchase all of the initial protein, with a specific Scottish salmon farming customer as the first key client [5.9]. The construction of this plant will create around 10 skilled jobs in the Speyside rural area associated with the plant, as well as supporting in-direct supply chain roles (transport etc.).
(D) Economic Added Value
The Horizon Proteins research project was designed from inception to maximise economic impact for rural areas and ERPE staff engaged key stakeholders from the whisky, aquaculture and feed industries as an advisory panel to guide direction. Researchers engaged with the whisky industry through the Scotch Whisky Research Institute (SWRI) and the major trade body the Scotch Whisky Association (SWA), to ensure that all distillers had an input. The three major aquafeed manufacturers in Scotland, EWOS Cargill, BioMar and Skretting, were all involved in the project during its development and all three offered to carry out commercial trials of the final product. Through this early engagement, ERPE and HP ensured that the commercial impact pathway of the developed process was maximised.
Extraction of this protein transforms the accessible value of these liquid waste by-products. They are worth around GBP 3/tonne as pot ale sold as syrup, but this increases to GBP 20/tonne, when reconstructed into the Horizon Proteins dried products, resulting in an over 600% increase [5.3].
(E) Environmental Benefits
The HP process enables a reduction in the chemical oxygen demand (COD) to treat the waste and reduces the needs for imported (non-UK sourced) aquafeed. The technology is now seen as a crucial element in the development of a circular bioeconomy and specifically ‘upcycling’ in Scotland [5.4]. The technology reduces environmental pollution, allows for re-use of water, lowers by-product processing costs and provides a sustainable source of protein for fish for a growing global population [5.1].
5. Sources to corroborate the impact
[5.1] News article (2016): ‘Whisky chasers’ - Information on spin-out company Horizon Proteins from Heriot-Watt University 2014.
[5.2] ‘ Whisky' salmon feed firm Horizon Proteins wins funding’, BBC News, Nov 2014 https://www.bbc.co.uk/news/uk-scotland-scotland-business-30145724
[5.3] Horizon Proteins, Chairman (named contact who will corroborate investment into Horizon Proteins)
[5.4] Circular Economy. 2015 Sector Study on Beer, Whisky and Fish Final Report, produced by Zero Waste Scotland, Horizon Proteins is cited 24 times in this 87 page document and specifically (p5, p16, p37, p53). https://consult.gov.scot/zero-waste-delivery/making-things-last/supporting_documents/ZWS645%20Beer%20Whisky%20Fish%20Report_0.pdf
[5.5] News of the exhibition Milan Expo 2015, Scottish government invited Horizon Proteins
[5.6] Circular and Sharing Economy Study. Mayor of London report, by Arup Associates, citing Horizon Proteins as an example case study of industry organic waste to proteins, p86 (2016)
[5.7] Rothes CoRDe Ltd, Managing Director (named contact who will confirm investment into construction of Horizon Proteins first manufacturing plant)
[5.8] SiccaDania Venture A/S, Managing Director (named contact who will confirm investment into construction of Horizon Proteins first manufacturing plant)
[5.9] EWOS Cargill Aquanutrition Commercial & Country Director CQN Scotland (named contact who will confirm agreement of purchase of all initial protein on production)
- Submitting institution
- Heriot-Watt University, University of Edinburgh (joint submission)
- Unit of assessment
- 12 - Engineering
- Summary impact type
- Technological
- Is this case study continued from a case study submitted in 2014?
- No
1. Summary of the impact
Staff at Heriot-Watt University within the Edinburgh Research Partnership in Engineering (ERPE) led a collaborative project with Scottish Power Energy Networks (SPEN) to develop the Network Constraints Early Warning System (NCEWS), with on-board machine learning for active asset management and maintenance/reinforcement planning of the electricity distribution system. This supports the critical pathway to enable decentralised energy networks for future low carbon renewable integration. The impacts included:
(A) Integration of NCEWS within SPEN’s network management platform enabling more confident prediction of system response, penetration of renewable generation, supporting demand management and electric vehicle (EV) charging. Network design, analysis and contingency planning modelling time was reduced by 67%.
(B) Increased knowledge and closer management of the increasingly active network enabled consideration and deferral of network asset renewal and delivered operational cost savings (GBP1 billion in the SPEN distribution area alone).
(C) NCEWS was adopted in SPEN’s Digitisation Strategy, enabling the Networks to help drive carbon reduction, increase security of supply and extend asset maintenance intervals and lifetimes.
(D) SPEN were able to leverage consequent funding to upgrade an area of their network in anticipation of electric vehicle rollout. The collaboration also won several significant national awards, including the E&T 2019 Innovation of the Year Award.
2. Underpinning research
The UK government has committed to an ambitious decarbonisation agenda, and electricity distribution network operators (DNOs) are mandated to prepare the electricity distribution and supply network for the integration of low-carbon technologies from the rapid rollout of electric vehicles to embedded renewable generation (PV panels, wind turbines and combined heat & power systems). UK DNOs are required to operate and maintain their networks with statutory responsibility to ensure quality of supply to end-use demand customers. They are also required to connect and accept production from new renewable energy generation schemes and to interact with third-party demand management systems, to the satisfaction of the regulatory bodies and their investors. Active asset management is a key component to support the decentralisation of energy into local renewable energy supply and enable future growth. The UK spent GBP34 Billion between 2014-2020 to replace aging infrastructure and to modernise, automate and reinforce the network. The complex and highly distributed network of assets previously operated in a largely passive manner, but is now active, both in supply and demand. Both old and newer distribution network assets now need to be managed in real time and maintained with increased foresight, in order to minimise constraint on new supply and to ensure quality of supply to prescribed, enforceable standards. Compliance can be costly for developers and DNOs alike. Failure to maintain continuity of supply within defined limits will result in the regulator, OFGEM, issuing fines for consumer redress. OFGEM fined energy service providers GBP60M between 2019 and 2020.
SPEN is one of the UK's ‘Big 6’ electricity network and distribution operators, with responsibility for keeping the lights on for over 3 million domestic and industrial customers in Scotland, Wales and England, incorporating 128,000km of electricity network overhead lines and underground cables. Their asset base (cables, transformers, switchgear, protection and metering) is ageing, with large parts having been installed many decades ago, often suffering from poor observability. For example, the exact disposition and capacity of cables installed at many locations is no longer known, and physical verification is very costly and disruptive. ERPE researchers found that new embedded loads and generation, if improperly connected and managed, could cause voltage and power quality violations [3.1]. The rollout of smart meters (SM) in nearly every home presents an opportunity, but also requires conversion of massive new data-streams into reliable, actionable information. Moreover, due to constraints from the UK's energy regulator, OFGEM, this must be done in a privacy-preserving way for individual domestic/industrial customers.
The NCEWS [P1] Knowledge Transfer Partnership project, involving SPEN and ERPE researchers, designed a network operation and planning decision support system. There were three fundamental challenges that the research addressed.
1. The network asset base is never fully described and always contains static unknowns, such as missing network cable data, and dynamic error. The current state of the art in machine learning cannot perform to the required levels of accuracy when using data acquired from the working electricity network. ERPE researchers developed new machine learning (ML) techniques, specifically, deep learning and ML algorithms that could perform matching on asset paths [3.2]. For the first time, they were then able to accommodate the highly variable and imperfect data scenarios of real electricity networks. This allowed SPEN to backfill their asset database, with a high degree of confidence, by extracting information from data on other similar assets in the area, as well as smart meter data.
2. The determination of how much SM coverage was required to represent and monitor the system, to be able to make confident prediction and create accurate forecasts. ERPE researchers developed an operational decision support (ODS) system for network modelling that utilised metadata, including that derived from Geographical Information Systems, Asset Management Databases and Real-time Monitoring Equipment, to support forecasting of voltage violations. The ODS also created a standardised data management platform that was scaled into parallel and future projects. This brought quality assurance and scalability to data analysis in the electrical network.
3. Understanding the impact of network topology, EV energy demand, current energy demand and Distributed Generation (type and Level) on network performance. ERPE researchers combined the latest advances in ML and AI, with state-of-the-art tools for simulation of electricity networks (PSSE techniques) [3.3]. For example, in order to address data privacy concerns, the underpinning research showed that it is sufficient to collect data from several ‘key identified locations’ to predict with very high accuracy voltage deviation estimates for the whole network, and that this analysis can be performed without individual power consumption data [3.4]. Thus, the system operator does not need to have full observability of the power consumption of individual users, protecting their privacy. This enabled SPEN to identify which areas/subnetworks of their low-voltage (LV) distribution network are potentially most at risk from dangerous voltage excursions, due to developments such as EV uptake or solar panel installations.
3. References to the research
[3.1] Journal: Mokhtar, M., Robu, V., Flynn, D., Higgins, C., Whyte, J., Loughran, C., & Fulton, F. “Automating the Verification of the Low Voltage Network Cables and Topologies”, IEEE Transactions on Smart Grid, vol. 11(2), pp. 1657-1666, IEEE. DOI: 10.1109/TSG.2019.2941722 (2020)
[3.2] Conference: Mokhtar, M., Robu, V., Flynn, D., Higgins, C., Whyte, J., Loughran, C., & Fulton, F. (Nov. 2019). “Predicting the Voltage Distribution for Low Voltage Networks using Deep Learning”. In Proceedings of 9th IEEE International Conference on Innovative Smart Grid Technologies (ISGT-Europe), IEEE, pp 1-5, Nov. (2019). https://doi.org/10.1109/ISGTEurope.2019.8905434
[3.3] Conference: Mokhtar, M., Robu, V., Flynn, D., Higgins, C., Whyte, J., & Fulton, F. (Oct. 2018). “Automated Verification of LV Network Topologies”. In Proceedings of the 8th IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT), 1-5, (October 2018) https://doi.org/10.1109/ISGTEurope.2018.8571892
[3.4] Conference: Mokhtar, M., Robu, V., Flynn, D., Higgins, C., Whyte, J., Loughran, C., & Fulton, F. "Enabling Autonomous Reconfiguration of Low Voltage Networks", Proceedings of 25th International Conference on Electricity Distribution, Madrid, 3-6 June 2019, Paper ID: 1510, (July 2019) https://tinyurl.com/CIRED2019Mokhta
Some of the outputs cited above were deliberately published at prestige, peer reviewed conferences organised by the IEEE/CIRED, as the key means of engaging the research and user community quickly and efficiently.
Related Research Project Funding
P1 – Flynn (PI): Network Constraints Early Warning System (NCEWS), InnovateUK - Knowledge Transfer Partnership (KTP), grant no. KTP010658 (GBP73,595) 2017-2019.
4. Details of the impact
The multi-award winning NCEWS project [P1], supported by Innovate UK through a Knowledge Transfer Partnership (KTP) designed an operational and planning decision support system (DSS) that embodied the functional, operational and compliance requirements of the SPEN distribution system. The ERPE team were able, through their underpinning research [3.1-3.4], to create advances in machine learning techniques that were integrated into SPEN’s information platform and used to support strategic network planning decisions. This has supported the critical pathway to enable decentralised energy networks for future dynamic low carbon renewable integration. The impacts include:
(A) Deployment and Integration of NCEWS within Utility Network Management Platform
The NCEWS project integrated metadata, network expertise and novel machine learning-based analysis that achieved [5.1] three primary aims:
(i) It backfilled missing asset data (especially cables) in the SPEN system, by applying machine learning (ML) to detect patterns from both existing assets and smart meter (SM) data. This provided critical new network information without the disruption and expense of physical inspection [5.1].
(ii) It leveraged large-scale real-time data available from the rollout of smart meters, while preserving the privacy of individual consumers. This allowed SPEN to detect areas of the network which are prone to voltage violations and potentially poor supply quality, and to simulate the benefits of new investments, for example new electric vehicle (EV) charging stations, under large numbers of scenarios [5.1].
(iii) ERPE research was able to identify the optimal strategic SM sparse deployment locations, providing the equivalent accuracy in voltage prediction of a 100% SM installation. It accelerated network monitoring and reduced the associated costs [5.1].
The impact was increased and assured through the integration of NCEWS with the SPEN Network Analysis and View (NAVI ) platform. It was rolled out and integrated as business-as-usual (BAU) across the company, to support real business and planning decisions. For example, when a network planner is unsure of the type of cable present in a particular location, he/she can inquire of the ML tool to provide a prediction that includes the degree of statistical confidence. This has allowed decisions to be taken that, hitherto, would have required physical verification (which is often expensive/unfeasible, as cables are buried underground, in complex locations) [5.1].
(B) Deferral of Network Renewal and Associated Cost Savings
The use of the ML systems has also led to significant economic impact [5.1]. A key benefit of predictions made by users of NCEWS is the potential to safely defer expensive network reinforcements [5.1]. Recent internal figures from SPEN show that in order to accommodate the rollout of EV charging, network reinforcements could be deferred, with savings of around GBP1,000,000,000 in the SPEN distribution area alone [5.1].
NCEWS uses real smart meter data across the network and helps to pinpoint critical sub-networks, where deferrals will result in cost savings. Examples of such cost-saving decisions include smarter selection of the placement of EV charging stations, distributed storage and demand-side response, and avoiding placement in areas of likely voltage/power violations. The NCEWS predictive tool, that uses real smart meter data across the company's network and helps pinpoint critical sub-networks, is now central to achieving these deferral savings [5.1].
(C) Enabling Digitalisation Strategy and Supporting Decarbonisation
NCEWS is now being integrated into a larger national roll-out and rebranded as NAVI as part of SP Energy Networks’ ‘RIIO-RD2’ plans with OFGEM [5.1]. In the SPEN Digitalisation Strategy 2019, the NCEWS project and outcomes was cited as a key project, ‘ *by reducing modelling design time by two thirds (67%)*’, ‘ automatic tracing of the network also means much larger geographical areas can be analysed…. leading to improved understanding supporting informed decision making regarding network reinforcement’ [5.2]
More significant impact for NCEWS was in the standardisation of data collection across other innovation projects relating to energy networks [5.2]. At the launch and introduction of the 2019 SPEN Digitisation Strategy, the CEO of SPEN stated that “ Improvements in control, automation, flexibility and demand side management are helping us create a more dynamic and active network," [5.3]
NCEWS is assisting SPEN to support the UK's decarbonisation agenda [5.1]. In some cases, where there is uncertainty whether a new investment project (e.g. building a new EV charging station) could lead to voltage/power violations, SPEN has had to err on the side of caution in the past, until the local network can be physically assessed and/or reinforced. With the aid of NCEWS, however, acting on real smart meter data, SPEN can make faster approval decisions, and faster approval/rollout of the decarbonisation investments [5.1].
(D) Consequent Funding and National Awards
The results of the NCEWS project enabled SPEN to leverage consequent funding for the PACE project, in collaboration with Transport Scotland and Scottish Government. PACE sought to accelerate and widen the installation of EV charging points across a weak area of the low voltage distribution network in Lanarkshire [5.1].
The ERPE and SPEN partnership, and the resulting development of the NCEWS, won national awards including the prestigious E&T 2019 Innovation of the Year Award [5.4].
Fiona Fulton, SPEN, Smart Grid Manager stated the significance of the project and relationship to their low-voltage (LV) network: "The NCEWS project with Heriot-Watt University was a real success, that met and exceeded our expectations. The information platform developed allows SPEN to automatically backfill missing asset data, as well as using advanced analytics to identify ‘at risk areas’ and potential voltage excursions in our LV distribution network. The project leverages the massive amounts of data made available by the smart meter rollout, and allows SPEN to be at the forefront of European innovation efforts in this key area. The ongoing Business-As-Usual rollout across SPEN will enable all parts of the business to benefit from its results, which is an outstanding result for a knowledge transfer project" [5.5]. The project resulted in several further awards, including
2019 IET's Information Technology Award [5.6].
Top "outstanding" rating for a KTP project from InnovateUK [5.7],
Knowledge Transfer Partnership (KTP) "Rising Star" award for KTP Associate Maizura Mokhtar, [5.8]
Overall, the project positioned SPEN at the cutting edge of electrical network modernisation and importantly serves as a keystone in their acceleration of decarbonisation and incorporation of low carbon technologies. [5.1]
5. Sources to corroborate the impact
[5.1] Scottish Power Energy Networks, Smart Systems Manager (contact person who will confirm implementation of solution and economic impact)
[5.2] SPEN's Digitalisation Strategy 2019, (page 58) Citing the NCEWS project – ‘What is it and what it means for us (SPEN)’. https://www.spenergynetworks.co.uk/userfiles/file/RIIO-T2_SP_Energy_Networks_Digitalisation_Strategy.pdf?v=1.3
[5.3] Current+, Online News Article, Statement by CEO SPEN at the launch of the 2019 SPEN Digitisation Strategy – stating the improvements being made as result of automation and digitalisation. https://www.current-news.co.uk/news/spen-unveils-digitalisation-strategy-targeting-open-data-smart-systems-and-improved-monitoring
[5.4] IET press release announcing the E&T (Engineering & Technology) 2019 ‘Innovation of the Year’ (Nov, 2019). https://eandt.theiet.org/content/articles/2019/11/ai-platform-for-power-networks-wins-top-prize-at-iet-innovation-awards/
[5.5] IET E&T magazine article - Evidencing the award, statement of impacts from SPE Networks Smart Grid Manager, and further developments (May, 2020). https://eandt.theiet.org/content/articles/2020/05/et-innovation-awards-ai-future-proofs-power-network/
[5.6] IET press release announcing IET ‘Information Technology’ Award 2019 for Heriot-Watt University and SP Energy Networks for their Network Constraints Early Warning System (NCEWS). (Nov, 2019)
[5.7] InnovateUK – Outstanding rating for the NCEWS KTP project between SPEN and Heriot-Watt University.
[5.8] SFC Interface Knowledge Exchange Awards - "Rising Star" award for KTP Associate Maizura Mokhtar (NCEWS project with SPEN). https://www.insider.co.uk/news/scottish-knowledge-exchange-awards-winners-14036240
- Submitting institution
- Heriot-Watt University, University of Edinburgh (joint submission)
- Unit of assessment
- 12 - Engineering
- Summary impact type
- Technological
- Is this case study continued from a case study submitted in 2014?
- No
1. Summary of the impact
ERPE researchers, led by Prof Harald Haas, invented and developed a wireless system that transmits data via LED lighting, using light fidelity technology (LiFi). This extended the available capacity of the electromagnetic (EM) spectrum for dense short-range wireless communication beyond the existing limits of radio frequency (RF) and exploited, as a platform, the ongoing proliferation of light emitting diode (LED) lighting. Following the formation of a spin-out company, called pureLiFi Ltd (pureLiFi), the major impacts arising from the ERPE research in the return period include:
(A) - International investment of USD28.9M into pureLiFi to commercialise the technology;
(B) - A series of world-first innovative products delivered to the market;
(C) - Extensive global business growth through partnerships involving trials of 200 applications in 23 countries across healthcare, education, defence and telecoms sectors;
(D) - Registration of 34 patents and 2 trademarks [5.8] and leadership of the international industry LiFi task force developing the global standard IEEE 802.11bb;
(E) - Multiple industry awards to pureLifi; and
(F) - Global public engagement including 2,800,000 views of a 2015 TED talk.
2. Underpinning research
ERPE research by Professor Harald Haas and colleagues at the University of Edinburgh (UoE), funded by EPSRC (P1, P3) resulted in pioneering breakthroughs in data communication systems using LED lighting (LiFi). There were two primary combined research drivers and opportunities:
Future annual growth of Wi-Fi communications usage would quickly overcrowd, and be restricted by, the limited capacity of the radio-frequency (RF) spectrum; and
The accelerated uptake of LED lighting across many applications, environments and markets provided a pre-existing and adopted technology platform into which this new communications technology could be integrated.
Haas and ERPE staff delivered the enabling research to develop LiFi via LED lighting as a future global communications medium for diverse applications. These included:
Ensuring that Orthogonal Frequency Division Multiplexing (OFDM) could be adapted and optimised for use within LiFi.
OFDM is the primary signal coding technique that underpins many modern RF communication systems such as 4G, 5G and Wi-Fi. OFDM is an efficient method of encoding information and data on the amplitude and phase of a radio wave. But in LiFi, the phase property of the light wave is not available for data transmission. Consequently information can only be encoded on the light intensity (akin to using a data stream to rapidly yet invisibly change the brightness of a light source). Haas and colleagues identified and exploited key changes [3.1] to adapt OFDM into a new format and enable it to be used in LiFi, for the first time, to transmit data in the visible light part of the EM spectrum, while retaining all of its other benefits.
The new format was initially developed assuming that all components in a LiFi system would have a linear response. However, LED LiFi was initially found to have a non-linear behaviour, which degraded and limited its performance - measured by an increase in the Bit Error Rate (BER). Research described in [3.2] developed a model that accurately described how the BER metric was determined by component non-linearities. This allowed the input parameters of the LiFi design to be adapted to ensure and maintain an acceptably low BER and unlock the technology for commercial development.
Optimum LiFi input signal parameters to achieve maximum data-rate using ‘real’ LEDs.
The amount of ‘dc-bias’ applied to the data signal defines the ‘operating point’ in the design of a LiFi system. This is a critical choice for optimum performance. [3.3] reported a mathematical analysis that was able to model and define the optimum dc-bias level. Further analysis [3.4] described and quantified the resulting degradation in data-rate when a LiFi system is operated on either side of the optimum point, and provided a framework and algorithm to ensure optimum system performance and data-rates based on [3.3].
Enabling close-to-zero dc-bias without data-rate loss for LiFi uplink.
In a conventional RF-based wireless communication system, an OFDM signal amplitude has both positive and negative values. However, because light intensity can only be positive the maximum data rate reduces by half. [3.5] discovered that, by setting the operating point close to the absolute minimum value required to illuminate the LED, the data rate could be restored to nearly the original value, which also saved energy. [3.6] elaborated on this enhanced-Unipolar OFDM (eU OFDM) method, which is based on super-position modulation combined with a unique OFDM frame structure to create a 'layered modulation'.
3. References to the research
[3.1] Conference. Elgala, H., Mesleh, R. and Haas, H. (2009) "Practical considerations for indoor wireless optical system implementation using OFDM," 10th International Conference on Telecommunications, Zagreb, pp. 25-29. https://ieeexplore.ieee.org/document/5206382
[3.2] Journal. Elgala, H., Mesleh, R. and Haas, H. (2010) "An LED Model for Intensity-Modulated Optical Communication Systems," in IEEE Photonics Technology Letters, Vol. 22, (Issue 11), pp. 835-837. https://doi.org/10.1109/LPT.2010.2046157
[3.3] Journal. Dimitrov, S., Sinanovic, S. and Haas, H. (2012) “Clipping Noise in OFDM-based Optical Wireless Communication Systems”, IEEE Transactions on Communication, Vol. 60, (Issue 4), pp. 1072–1081. https://doi.org/10.1109/TCOMM.2012.022712.100493.
[3.4] Journal. Dimitrov, S. and Haas, H. (2013) “Information Rate of OFDM-Based Optical Wireless Communication Systems With Nonlinear Distortion,” IEEE/OSA Journal of Lightwave Technology, Vol.31, (Issue 6), pp.918-929. https://doi.org/10.1109/JLT.2012.2236642
[3.5] Conference. Tsonev, D. and Haas, H. (2014) "Avoiding spectral efficiency loss in unipolar OFDM for optical wireless communication," 2014 IEEE International Conference on Communications (ICC), Sydney, NSW, pp. 3336-3341. https://doi.org/10.1109/ICC.2014.6883836
[3.6] Journal. Tsonev, D., Videv, S. and Haas, H. (2015) "Unlocking Spectral Efficiency in Intensity Modulation and Direct Detection Systems," in IEEE Journal on Selected Areas in Communications, Vol. 33, (Issue 9), pp. 1758-1770. https://doi.org/10.1109/JSAC.2015.2432530
Related Research Project Funding
P1 – Haas (PI): Spatial Modulation, EPSRC Grant EP/G011788/1, EPSRC, (GBP308,693) May 2009 - April 2012
P2 – Haas (PI): D-Light, Scottish Enterprise, Proof-of-Concept Programme, (GBP400,000) January 2010 - January 2012
P3 – Haas (PI): EPSRC Established Career Fellowship: "Tackling the looming spectrum crisis in Wireless Communication", EP/K008757/1, (GBP1,344,142) February 2013 – January 2018
4. Details of the impact
The significance of the underpinning ERPE research carried out at the University of Edinburgh to all of the pureLiFi products [3.1, 3.2], was described by pureLiFi’s Chief Technology Officer [5.1] as “ laying the foundations for pureLiFi’s Technology and helped us to develop and commercialise LiFi solutions” to be “ a key differentiator in the market”. Outputs [3.3, 3.4] helped pureLiFi to “ develop dimmable solutions…across a whole range… to maximise the data rate” [5.1], and [3.5, 3.6] led to a “ technique for improving power efficiency” [5.1]. This has resulted in the following major impacts:
(A) National and Global Investment in Commercialisation
Scottish Enterprise proof of concept funding led to the formation of the spin-out company pureLiFi Ltd, led by Prof Haas and staffed by research colleagues. Within pureLiFi, Haas serves as Chief Scientific Officer and, in the REF return period, pureLiFi has secured major external investment year-on-year from investors [5.2] to commercialise the technologies arising from the underpinning research. This involved securing approximately USD28,900,000 (as of Oct-2020) - involving USD1,9000,000 in 2015, USD9,000,000 in 2016 and USD18,000,000 in 2019, including international inward investment from Singapore investment company Temasek. pureLiFi has approximately 40 employees including software engineers, light communication engineers and design and innovation specialists.
(B) World Firsts in Innovative Products to Market
The original research by pureLiFi [3.1-3.4] has led to a series of new products [5.3] entering the market, including:
The first ever commercial LiFi light communications product (Li-1st, Sept 2013) utilising ‘off the shelf’ LED technology;
The first mobile wireless communications LiFi product (Li-Flame, Dec 2014), providing far superior data densities than those available from existing state of the art Wi-Fi; and
The first high-speed LiFi pc and laptop dongle (LiFi-X, March 2016).
Further prototype products developed by pureLiFi [5.4] with industry partners included mobile devices embedded with a LiFi optical module (or Light Antenna) to deliver gigabit download speeds approximately 20 times faster than the current UK average.
(C) Business Growth and Key International and UK Partnerships
In 2016 Business Wire reported [5.5] that pureLiFi had recorded ‘ *year-on-year quarterly revenue increases of over 300%*’ since autumn (Q3, 2013) and significantly grown its international customer base around the world to support market mainstreaming. The company secured and led international partnerships with companies such as French lighting manufacturer Lucibel and Indian IT consultancy Wipro [5.4]. Other industry partnerships for new products and network systems development have included O2 Telefonica, Liberty Global, network infrastructure vendors such as Cisco, [5.4, 5.5] and Rolls Royce [5.5]. Both Cisco and Rolls Royce partnerships stemmed from Innovate UK funding.
The first LiFi LED commercial luminaire in the world to reach the market was jointly developed by Lucibel and pureLiFi in September 2016 [5.3, 5.6]. In Dec 2017 Christophe Jurczak, Lucibel Chief Scientific Officer stated in the industry Lucibel White Paper “ pureLiFi is Lucibel’s technical partner [5.6, p2]…The Technology has reached maturity.. and over 50 Lucibel clients have built projects with a large variety of use cases and [5.6,p1] ..implementing LiFi provides a powerful complement or alternative to Wi-Fi and 4G [5.6, p9]”.
The advantages of LiFi over conventional Wi-Fi include improved security of communications because of LiFi’s focused “line of sight” and that it does not travel through solid objects such as walls. In 2018 the second generation Lucibel-pureLiFi lighting luminaire was launched [5.3]. Applications for Lucibel client secure environments and pureLiFi partnerships included sectors such as Defence, Banks and R&D Centres. pureLiFi products are uniquely deployed in normally restricted RF zones including hospitals (e.g. MRI facilities), pre-kindergarden schools and EMI sensitive industrial facilities [5.6, p9].
By April 2020 more than 200 projects had been delivered in over 20 countries [5.7]. Further commercial exploitation has taken place with major companies such as:
O2 Telefonica signed deal in August 2018 [5.7],
BT Defence communications [5.7],
Babcock Engineering [5.7] for conditioned based monitoring, and
Disaster response communications with Nokia and Versizon [5.7].
Jeffery Schweitzer, Chief Innovation Architect, from Verizon commented “ pureLiFi demonstrated that LiFi solutions could perform under real life operations and enable critical communications during response missions in chaotic and disastrous environments.” The Solari Spa healthcare project [5.7-06] included both geofencing and geolocation services provided by the pureLiFi system. This led to “ enhanced operational efficiency” and offered “acute management of an individual user’s access to data” [5.7-04].
(D) Patents and New Global IEEE Standards
The intellectual property of pureLiFi arising from the underpinning research includes 34 registered patents and two registered trademarks [5.8]. To enable and support international standardisation and future growth of the LiFi sector the Institute of Electrical and Electronics Engineers (IEEE) established a new Topic Interest Group (TIG) in 2016. This was followed by the IEEE 802.11bb international industry LiFi task force to develop the global standard. This includes major industry members such as Osram and Huawei. The international task group is led and chaired by a staff member of pureLiFi [5.9], formerly an ERPE researcher.
(E) Industry Awards to pureLiFi
The underpinning research leading to the developments in technology and growth of pureLiFi have been recognised by major industry awards [5.3, 5.10] including:
Crystal Cabin 2018;
Edison LightTrade Award 2017;
Mobile World Congress 2017 ‘Cool Tech’ award;
‘Commended Innovation’, Institute Of Physics Business Innovation Awards 2017;
Scottish Business Technology Company of the year 2015.
In October 2020 pureLiFi was listed as the ‘Most Innovative Company’ by Business Cloud’s Scotland Tech 50 rankings. ERPE research led by Haas established 'LiFi' as the universally adopted term for visual light communications.
(F) Public Engagement
Public visibility and engagement extends from LiFi being used for the first time in a secondary school classroom [5.11], International Science Festival 2014 (Tam Dalyell Prize) free public lecture and invited talks at many industry events. The 2015 TED Talk explaining the pureLiFi technology, function and capabilities has had 2,804,378 views (as of Nov, 2020) [5.12].
5. Sources to corroborate the impact
[5.1] Letter from pureLiFi by Chief Technology Officer explaining the foundations and products of pureLiFi stem from the underpinning research at UoE. (Feb, 2020)
[5.2] Combined external investment approx. USD29,000,000 to pureLiFi (2015 -2019)
5.2a USD1,900,000 (2015) https://www.prnewswire.com/news-releases/purelifi-raises-15m-valuing-lifi-leader-at-over-14m-289011761.html
5.2b USD9,000,000 (2016) https://techcrunch.com/2016/07/15/purelifi-scores-7m-series-b-to-commercialize-pulsating-light-based-wi-fi-alternative/
5.2c USD18,000,000 (2019) https://tech.eu/brief/scottish-startup-purelifi-raises-18-million-to-bring-its-new-wireless-technology-to-mobile-devices/
[5.3] Company key history chart – pureLiFi website – company timeline and products graphic
https://purelifi.com/company/#history (sourced summer 2020)
[5.4] ‘Herald’ newspaper article explaining pioneering technology (April, 2020)
[5.5] Article in Business Wire - Relating to external investment, company growth and partnerships (July, 2016). https://www.businesswire.com/news/home/20160715005046/en/pureLiFi-Closes-Series-Commercialize-LiFi-Technology
[5.6] Lucibel White Paper: LiFi: Enlightening Communications by Christophe Jurczak, Lucibel Chief Scientific Officer, Palo Alto, California (Dec, 2017).
[5.7] Sector case studies (during REF period) of applications and partnerships including defence, health and major disaster response https://purelifi.com/case-studies/
[5.8] Crunchbase sector briefing on pureLiFi, patents and trademarks listed by ‘IPQwery’ (Dec, 2020). https://www.crunchbase.com/organization/purelifi/technology
[5.9] IEEE – News of the new global standard committee being chaired by pureLiFi (2018).
[5.10] Awards/nominations for pureLiFi (2015 onwards) https://purelifi.com/category/awards/
[5.11] World first use of LiFi by pupils at a secondary school (Aug, 2018).
[5.12] Sept 2015 Ted Talk by Harald Haas demonstrating LiFi, 2.8 Million views (Dec, 2020).
- Submitting institution
- Heriot-Watt University, University of Edinburgh (joint submission)
- Unit of assessment
- 12 - Engineering
- Summary impact type
- Technological
- Is this case study continued from a case study submitted in 2014?
- No
1. Summary of the impact
ERPE researchers at the University of Edinburgh have supported the development of technologies, strategic growth of capacity, and critical policy interventions to advance the offshore renewable energy (ORE) sector. This has been delivered through inter-disciplinary research ranging from hydrodynamic to economic, and from the laboratory to the open sea. Working with industry across the ORE sectors has resulted in multi-million investments and a significant portfolio of impacts (A-D) including:
(A) Developing key open-source design tools utilised for international ORE asset and infrastructure design and supporting company new technologies such as Nortek and Sabella.
(B) Formation of new spin-out companies, accessing new business markets leading to CO2 reductions – including MOCEAN Energy and REOptimise Systems.
(C) Establishment of strategic international government-industry-academia partnerships, driving investment in R&D infrastructure for the ORE sector – including in Chile and China.
(D) Influencing low carbon policy and offshore strategies – including the Ecuadorian Government launching ‘Galapagos Vision 2040’ at COP25 in Madrid in 2019.
2. Underpinning research
The UK and many other countries have ambitious targets to develop offshore renewable energy (ORE) from wind, tidal and wave resources. To develop and grow an industry sector such as ORE, a portfolio of underpinning research is required for critically interconnected advances including new technologies to enable array-deployment, ensure electricity network integration, optimise energy and economic performance, and to establish international marine test facilities and support policies. ERPE researchers at the University of Edinburgh have led flagship UKRI, Innovate UK and EU collaborations addressing these needs since 2004, including hosting the Supergen UK Centre for Marine Energy Research (UKCMER) and the Industrial Doctoral Centre for Offshore Renewable Energy (IDCORE). Key examples of underpinning research follow.
Array deployment is essential to up-scale ORE projects from single to multiple machine investments. Investor and regulatory confidence relies on understanding and reducing the techno-economic-environmental risks of the new energy infrastructure on or below the sea. A standardised electrical architecture of the offshore delivery network and its sub-systems is essential to underpin design for affordable reliability and to exploit economies of scale across the supply chain. Jeffrey led DTOcean [P1], one of the largest marine energy projects funded in the EU FP7 era, with 18 partners (14 industry) from 11 countries, which developed a series of open-source design tools to inform and assist the design of the array infrastructure connecting generators and optimising their performance and energy production. [3.1] reported the results of the first systematic techno-economic appraisal of the applicability and fitness-for-purpose of the main cost-critical and reliability-defining assets in the offshore delivery infrastructure, including subsea connectors, dynamic cabling, sub-stations and converter equipment.
Tidal current turbine blade-systems, power-take-offs and support structures are subjected to varying mechanical and fatigue loadings arising from the combination of forces from tidal flows, random and structured turbulence and cyclic modulation of velocity by surface waves. ReDAPT [P2] characterised the spatial and temporal knowledge of the incoming energy flux that is essential to quantify energy yield and quality and product-critical to inform blade design and real-time control of machines for durability. Working in the laboratory and at sea with partners Nortek, ERPE researchers Sellar et al [P3] developed new sensors and novel sensor-configurations including a convergent-beam Acoustic Doppler Current Profiler (ADCP) to create the first field-scale 3D velocimeter [3.2].
These sensor systems were deployed in one of the world's most dynamic marine environments in a tidal channel at the European Marine Energy Centre (EMEC) at Orkney, capturing yearly descriptions of the conditions to which an operating 1MW turbine was exposed. [3.3] reported summary data analysis and results from the research, which remains the most comprehensive tidal field measurement campaign conducted. Through exposing the magnitude of local (sub-100 metre) spatial variation, it identified the criticality of making full array-scale models to the sector, validated by enhanced array-wide measurements.
Generator design tools and optimisation are critical to develop generators that can operate in the marine environment, absorbing high oscillatory drive forces, without gearboxes to increase the speed of rotation. Mueller pioneered the C-GEN family of air-cored, low-speed, direct-drive rotary and linear generators and improved their thermal performance. Research funded through [P4] demonstrated C-GEN’s suitability to wave energy conversion, as reported in [3.4]. This leveraged further funding from Wave Energy Scotland (WES) that enabled Mueller to develop the design tools and enable the integration of electromagnetic, thermal and structural design techniques, providing the first opportunity for full optimisation.
The integrated electrical-thermal design method was extended in [3.5] to include computational fluid dynamic (CFD) predictions of airflow in an air-cooled axial-flux permanent-magnet (AFPM) machine and validated predicted temperature rises with those measured in service. Using new algorithmic approaches Mueller improved inlet designs to significantly reduce stator temperature rises and thermal losses.
International strategic support and collaboration is essential to bring tidal, wave and floating offshore renewable energy technologies to market, to help realise ambitions for a lower-carbon future. Since 2004 ERPE researchers Ingram, Jeffrey and Mueller [3.6], worked within UKCMER, in collaboration with UK and international institutions, to help establish government-funded mirror ORE test centres in Mexico, Canada, USA and Ireland. Strategically this consolidated UK and international partnerships and helped to position the UK as world-leaders in research, translation and deployment of ORE energy technology. [3.6] stimulated further interest and support partnerships with Chile (2013-19), China (2017-18) and Ecuador (2018-20).
ERPE researchers have worked closely with, often on secondment to, UK and overseas governments and industry to produce sectoral strategy and roadmaps for ORE. Jeffrey leads the European Energy Research Alliance Ocean Energy Joint Programme, chairs the IEA Ocean Energy Systems initiative and is Head of Strategy and Internationalisation at WES. Between 2010 and 2016, phase 2 of UKCMER developed a (then unique) collaborative approach to training PhD students in partnership with ORE industry and wider stakeholders. Since then IDCORE [P5] has trained and delivered, in partnership with 20 industry companies (multi-nationals and SMEs), around 60 EngD students to be key post-doctoral contributors to the impact arising from and within industry partnerships.
3. References to the research
[3.1] Journal. Collin, A, Nambiar, A, Bould, D, Whitby, B, Moonem, M, Schenkman, B, Atcitty, S, Chainho, P, & Kiprakis, A, (2017) ‘Electrical Components for Marine Renewable Energy Arrays: A Techno-Economic Review’, Energies, Vol. 10, 12, https://doi.org/10.3390/en10121973
[3.2] Journal. Sellar, B., Harding, S. & Richmond, M., (2015) ‘High-resolution velocimetry in energetic tidal currents using a convergent-beam acoustic Doppler profiler’, J. Meas. Sci. & Tech. 26, 8, https://iopscience.iop.org/article/10.1088/0957-0233/26/8/085801
[3.3] Journal. Sellar, B., Venugopal V., Ingram D., & Wakelam, G., (2018) ‘Characterisation of Tidal Flows at the European Marine Energy Centre in the Absence of Ocean Waves’, Energies 11, https://www.research.ed.ac.uk/en/publications/characterisation-of-tidal-flows-at-the-european-marine-energy-cen
[3.4] Journal. N. Hodgins, O. Keysan, A. S. McDonald & M. A. Mueller, (2012) ‘Design and Testing of a Linear Generator for Wave-Energy Applications,’ IEEE Trans Ind Electronics, 59, 2094-2103, https://doi.org/10.1109/TIE.2011.2141103
[3.5] Journal. Y. C. Chong, E. J. P. Echenique Subiabre, M. A. Mueller, J. Chick, D. A. Staton and A. S. McDonald, (2014) ‘The Ventilation Effect on Stator Convective Heat Transfer of an Axial-Flux Permanent-Magnet Machine," IEEE Trans Ind Electronics, 61, 4392-4403, https://doi.org/10.1109/TIE.2013.2284151
[3.6] Journal. Mueller, M.A., Jeffrey, H.F., Wallace A.R., von Jouanne, A., (2015) ‘Centers for Marine Renewable Energy in Europe and North America’, Oceanography, 23(2):42–52, https://doi.org/10.5670/oceanog.2010.42
Related Research Project Funding
[P1] – EU FP7 ‘DTOcean project’. EUR4,000,000. PI Jeffrey, H. (2013-2016).
[P2] – ETI ReDAPT: GBP12,600,000. Co-PI Ingram, D (2013-2015)
[P3] – RealTide: H2020, No.727689; EUR4,974,990 Co-PI Sellar, B (2018-2020)
[P4] – Carbon Trust Marine Energy Accelerator; GBP3,500,000 Co-PI Mueller, M, (2009-2011)
[P5] – EPSRC EP/J500847/1: Industrial Doctoral Centre for ORE, (IDCORE) GBP 6,531,437
4. Details of the impact
ERPE research, based at the University of Edinburgh’s Institute for Energy Systems, has underpinned a portfolio of key strategic measures and impacts to help drive progress in offshore renewable energies (ORE) in the UK and internationally in three continents. The ERPE research resulted in multi-million pound investments from ORE sector companies and government agencies to develop next generation technologies. The impacts include the following:
(A) International open-access tools to assist offshore renewables array deployment
The DTOcean project [P1] (led by ERPE) resulted in a EUR8,000,000 investment [5.1] by the EU Commission in DTOcean+ (led by Tecnalia based in Spain, with UoE as a leading partner) to support European countries and companies to accelerate the commercialisation, deployment and network integration of ORE technologies [5.1]. Building on [3.1] DTOcean+ has developed an extensive series of open-source engineering design tools [5.2] for the ORE sector. Two years into a three-year programme [5.2] ERPE researchers have led the development or co-produced 9 of the 12 online DTOcean+ tools now being used across the ORE sector worldwide [5.2], including: design and stage gate tools, machine characterisation, energy capture, energy transformation, energy delivery module and station keeping, marine logistics, energy yield and system reliability [5.2].
The underpinning ERPE research reported in [3.2] enabled industry partner Nortek, headquartered in Norway, to develop new products (CADP) and features to service the instrumentation needs of the ORE sector as it moves to array-scale deployments [5.3]. Nortek’s product portfolio includes wave, current and turbulence measurement systems for coastal and ocean use. The CADP system has been further developed, extending capability to allow the previously unachievable volumetric mapping of 3D turbulent flow fields in the field. This was successfully demonstrated on the west coast of the USA. Integrating data from the Nortek single-beam system [P2] into an acquired Met-ocean conditions database increased measurement resolution of velocity and turbulence, improving the ORE sector’s understanding of the operational environment. Nortek’s new products including their interfaces, software and re-configurability stem from the ERPE research and ‘ enable faster and finer current measurements over greater distances’ [5.3].
Sabella is a French SME and developer of tidal turbines. Since 2018, through participation in the EUR4,974,990 EU RealTide Project [P3] and in collaboration with Sellar, they have built upon the underpinning research in [P2], reported in [3.3]. In addition to using the ERPE research findings to refine the design of their blading systems [5.4a], the ERPE modelling of tidal energy sites was described by Sabella as “ an important enabling contribution…supporting strategic commercial goals…delivering global improvements to advanced sensor systems… and including the realisation of significant risk reductions” [5.4b].
They have implemented both within RealTide and in the ‘game-changing’ EUR45,000,000 industry TIGER project. Datasets obtained using this ERPE-led methodology has enabled the optimisation of the next generation of Sabella turbines reducing blade fabrication costs by 30% [5.4a].
In 2020 the Head of Innovation at SABELLA, said: “ This blade is the achievement of two years of engineering effort and [represents technical progress] in comparison with the previous design. In collaboration with the RealTide project partners, the shape and structure of the blade has been optimised to improve the performance and reduce the cost of fabrication” [5.4a].
(B) Formation of new spin-out companies, business markets and CO2 reductions
The underpinning research and proof of concept work reported in [3.4] established the innovative C-GEN technology that is incorporated by the UK spin out company MOCEAN Energy into their state-of-the-art wave machines. They have launched two new wave technologies [5.5]: ‘Blue Star wave energy converter’, which powers off-grid subsea applications, such as propulsion and control system for to ROVs and autonomous underwater vehicles; and ‘Blue Horizon larger hinged-raft wave energy converter’, which connects to the onshore electricity network. MOCEAN Energy has secured GBP4,000,000 [5.5] to manufacture and deploy both devices in Orkney, also enabling new UK and international industry partnerships [5.6] with Blackfish Engineering, Industrial Systems and Controls, TechX and Sequentec.
The ERPE research [3.5] investigating the loss minimisation in electrical machines and its application to optimise the output from wind and tidal energy converters, led to the establishment of REOptimize Systems in 2018, based in the UK [5.7]. REOptimize is a novel system for optimisation of wind, tidal and hydro turbine control parameters. It uses machine learning techniques [3.5] combined with accurate component models, to find the control settings which globally optimise performance of the generation system at all operating points. In April 2019 the ‘ research formed the basis of the company winning Shell Springboard Regional Award’” [5.7].
The original research algorithms led to a further new software product called Autonomous Continuous Turbine Optimisation System (ACTOS). The ACTOS software platform can control the turbines to reduce emissions by as much as 135 tons of CO2 per year per turbine (e.g. 2MW) [5.7], and could prevent the release of 2,700 tons of carbon over the 20 year turbine lifetime, doubling the net profit for a wind farm operator, while also reducing maintenance costs and turbine downtime [5.7]. This can make a critical difference to the commercial viability of individual wind farm developments [5.7].
ACTOS has been successfully deployed on turbines from 20kW to 250kW and is also being piloted for the utility-sized 2.3MW Siemens turbine [5.7]. The market sector ACTOS is targeting in the existing deployed (onshore and offshore) wind turbines is worth around GBP1,300,000,000 per annum. The ERPE underpinned impact has enabled the company to secure international commercial contracts in Italy and Germany [5.7].
(C) Establishment of strategic international investment in ORE R&D infrastructure
ERPE’s previous research appraisal of the need for, support necessary and development of international marine testing facilities [3.6] resulted in Ingram and Jeffrey becoming advisors to the Chilean government, enterprise bodies and academic institutions. Chile has 6,000km of coastline, facing some of the best wave energy resources. As a result of ERPE’s collaboration with CORFO, the Chilean economic development agency, a new USD20,000,000 Marine Energy Research and Innovation Centre (MERIC) was opened in Chile in June 2016. The Executive Director of MERIC described the impact of the ERPE research and support as being “ instrumental in supporting the formation and research agenda of the Chilean Marine Energy Research and Innovation Centre (MERIC)” [5.8]. Additionally, the ERPE/University of Edinburgh research has “ informed the shape and direction of MERIC’s research programme and supported the development of the Open Sea Lab and associated laboratory scale test programmes for the assessment of offshore renewable energy devices” [5.8].
In May 2017 the China-UK Low Carbon College (LCC) was established by Shanghai Jiao Tong University (SJTU) and the Shanghai Lin-gang Government [5.9], in partnership with the University of Edinburgh. ERPE researchers with colleagues in the Edinburgh Climate Change Institute (ECCI) advised on the formation of LCC research, training and test centres, including renewable energy and storage, carbon capture and low carbon technologies, and continue to help shape the research and training at the LCC. The LCC became China’s first dedicated centre [5.9] for expertise on carbon reduction and innovation, with 20,000m2 of laboratories and training space, enabling international co-operation in research, policy support and innovation.
(D) Influencing low carbon policy and strategies.
As a result of the ERPE research on ORE and hybrid energy systems, and a strong collaborative interdisciplinary approach with ECCI and the UoE Centre for Contemporary Latin American Studies, in 2018 the Ecuadorian government requested support to develop an energy, transport and infrastructure strategy for the Galapagos Islands archipelago, a UNESCO ‘World Heritage Site’.
This interdisciplinary advisory project (2018-19) involving ERPE was cited by the Minister-President of the Galapagos region as a “ significant contributor to the development of the Galapagos 2040 Vision” [5.10] and was launched by the Vice President of Ecuador at COP25 in Madrid [5.10].
5. Sources to corroborate the impact
[5.1] DTOcean+ EUR8 Million investment led by Tecnalia, follow on from ERPE led DTOcean (2018). https://www.dtoceanplus.eu/About-DTOceanPlus/Description
[5.2] DTOcean+ open access design tools (published 2020). 9 of the 12 online tools led or co-led by ERPE/UoE. https://www.dtoceanplus.eu/News/alpha-version-of-the-tools-implemented
[5.3] Nortek Group – Article stating significance of UoE research in the development of their new ‘Signature’ series products. https://www.nortekgroup.com/knowledge-center/userstory/how-can-we-improve-the-feasibility-of-renewable-tidal-stream-energy-production-1-1
[5.4a] Sabella unveils now tidal turbine blade developed with UoE (2020) https://www.offshore-energy.biz/sabella-unveils-new-generation-tidal-turbine-blade/
[5.4b] Sabella – letter stating the new technologies impact of the ReDAPT & RealTide projects.
[5.5] MOCEAN Energy spin out company (web site 2020) detailing company, products and investments https://www.mocean.energy/
[5.6] MOCEAN Energy – and their industry UK supply chain partnerships formed (2020) https://www.mocean.energy/mocean-energy-partners/
[5.7] REOptimise Systems – Chief Technology Officer (CTO) letter on the underpinning research led impacts – products, award, international markets, CO2 reductions.
[5.8] MERIC – letter from Executive Director (MERIC, Chile) confirming UoE research and support impacts in establishing the national government ORE research and test facility (2016).
[5.9] China’s first Low Carbon College (LCC), supported by UoE/ERPE for the China-UK LCC. http://europe.chinadaily.com.cn/a/201809/26/WS5baa6447a310c4cc775e80a6.html
[5.10] Ecuador Government – letter from the Minister-President for the Special Region of the Galapagos – confirming UoE contribution to ‘Galapagos 2040 vision’ launched COP25 (2019).