A multi-objective MILP model for the design and operation of future integrated multi-vector energy networks capturing detailed spatio-temporal dependencies
- Submitting institution
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The University of Bath
- Unit of assessment
- 12 - Engineering
- Output identifier
- 187361623
- Type
- D - Journal article
- DOI
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10.1016/j.apenergy.2017.09.055
- Title of journal
- Applied Energy
- Article number
- -
- First page
- 893
- Volume
- 220
- Issue
- -
- ISSN
- 0306-2619
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2017
- URL
-
-
- Supplementary information
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https://ars.els-cdn.com/content/image/1-s2.0-S0306261917313375-mmc1.pdf
- 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
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1
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The model presented in the paper led to collaboration with an International Energy Agency Hydrogen Implementing Agreement working group, comprising 50 experts from 15 countries worldwide, with the mission of designing policies for hydrogen technologies. It also led to a UK BEIS/EPSRC funded project (£66k) and invitations to deliver keynote/plenary lectures in Germany, Brazil, Malaysia and UK. Work based on the model won first prize at the 2018 AIChE Annual Meeting research poster competition.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -