A new dynamic model of crude oil fouling deposits and its application to the simulation of fouling-cleaning cycles
- Submitting institution
-
Brunel University London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 221-183431-23931
- Type
- D - Journal article
- DOI
-
10.1002/aic.15036
- Title of journal
- Aiche Journal
- Article number
- -
- First page
- 90
- Volume
- 62
- Issue
- 1
- ISSN
- 0001-1541
- Open access status
- Out of scope for open access requirements
- Month of publication
- September
- Year of publication
- 2015
- URL
-
http://bura.brunel.ac.uk/handle/2438/18456
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
5 - Manufacturing & Design
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Fouling in refinery pre-heat trains has been found responsible for 2.5% of anthropogenic emissions. The models proposed in this paper, predict and mitigate fouling thus significantly reducing refinery energy consumption, maintenance requirements and the impact on the environment.
Benefits in the use of this model for an individual refinery are quantified in the millions of GBP each year thanks to the reduced fuel consumption, improved maintenance and prevention of unplanned shutdowns. Moreover, potential reduction of CO2 emissions for an individual site is estimated in over 8% of the total emissions.
Part of this work was sponsored by BP.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
