A stochastic multiscale model for electricity generation capacity expansion
- Submitting institution
-
Imperial College of Science, Technology and Medicine
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2120
- Type
- D - Journal article
- DOI
-
10.1016/j.ejor.2013.07.022
- Title of journal
- European Journal of Operational Research
- Article number
- -
- First page
- 359
- Volume
- 232
- Issue
- 2
- ISSN
- 0377-2217
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
10.1016/j.ejor.2013.07.022
- 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
-
1
- Research group(s)
-
-
- Citation count
- 26
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- We provide theoretical and empirical evidence to show that the conventional simplifications used by engineers when optimising energy mix are not appropriate in systems with a high penetration of renewable energy. The ideas in this work have been presented in both academic conferences as well as in meetings with policymakers, e.g. Integrated Assessment Modelling Consortium, Utrecht, Netherlands 2012 (Webster, https://bit.ly/32uDiGx), and U.S. Department of Energy Integrated Climate Change Modelling 2014 (https://bit.ly/32sLUgQ).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
