Multiple energy carrier optimisation with intelligent agents
- Submitting institution
-
University of Greenwich
- Unit of assessment
- 12 - Engineering
- Output identifier
- 14326
- Type
- D - Journal article
- DOI
-
10.1016/j.apenergy.2015.10.130
- Title of journal
- Applied Energy
- Article number
- -
- First page
- 323
- Volume
- 167
- Issue
- UNSPECIFIED
- ISSN
- 0306-2619
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
-
-
- 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
-
5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A novel approach developed for controlling multiple energy carriers aiming to minimise the overall cost and emissions, which can be used for controlling technical and commercial constraints such as network limits and market contracts. This work can result in a reduction of more than 50% in the balancing costs of a potential deviation, which help to optimise the operation of multiple energy carrier inputs within the context of an energy hub. The work was partially supported by the Interreg IVA Channel programme and the European Regional Development Fund (Ecotec 21, No. 4160).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
