Formalizing best practice for energy system optimization modelling. (15th May 2017)
- Record Type:
- Journal Article
- Title:
- Formalizing best practice for energy system optimization modelling. (15th May 2017)
- Main Title:
- Formalizing best practice for energy system optimization modelling
- Authors:
- DeCarolis, Joseph
Daly, Hannah
Dodds, Paul
Keppo, Ilkka
Li, Francis
McDowall, Will
Pye, Steve
Strachan, Neil
Trutnevyte, Evelina
Usher, Will
Winning, Matthew
Yeh, Sonia
Zeyringer, Marianne - Abstract:
- Highlights: Energy system optimization models (ESOMs) are a critical tool for policy analysis. Significant modeler judgment is required, yet little formal guidance exists. This paper formalizes best practice for energy system optimization modelling. We outline a set of principles and modelling steps to guide ESOM-based analysis. Formalized guidance comes at a critical time as ESOMs inform climate policy. Abstract: Energy system optimization models (ESOMs) are widely used to generate insight that informs energy and environmental policy. Using ESOMs to produce policy-relevant insight requires significant modeler judgement, yet little formal guidance exists on how to conduct analysis with ESOMs. To address this shortcoming, we draw on our collective modelling experience and conduct an extensive literature review to formalize best practice for energy system optimization modelling. We begin by articulating a set of overarching principles that can be used to guide ESOM-based analysis. To help operationalize the guiding principles, we outline and explain critical steps in the modelling process, including how to formulate research questions, set spatio-temporal boundaries, consider appropriate model features, conduct and refine the analysis, quantify uncertainty, and communicate insights. We highlight the need to develop and refine formal guidance on ESOM application, which comes at a critical time as ESOMs are being used to inform national climate targets.
- Is Part Of:
- Applied energy. Volume 194(2017)
- Journal:
- Applied energy
- Issue:
- Volume 194(2017)
- Issue Display:
- Volume 194, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 194
- Issue:
- 2017
- Issue Sort Value:
- 2017-0194-2017-0000
- Page Start:
- 184
- Page End:
- 198
- Publication Date:
- 2017-05-15
- Subjects:
- Energy system models -- Uncertainty -- Modelling guidance
Power (Mechanics) -- Periodicals
Energy conservation -- Periodicals
Energy conversion -- Periodicals
621.042 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03062619 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.apenergy.2017.03.001 ↗
- Languages:
- English
- ISSNs:
- 0306-2619
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1572.300000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1060.xml