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Formalizing best practice for energy system optimization modelling

DeCarolis, J; Daly, H; Dodds, P; Keppo, I; Li, F; McDowall, W; Pye, S; ... Zeyringer, M; + view all (2017) Formalizing best practice for energy system optimization modelling. Applied Energy , 194 pp. 184-198. 10.1016/j.apenergy.2017.03.001. Green open access

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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.

Type: Article
Title: Formalizing best practice for energy system optimization modelling
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.apenergy.2017.03.001
Publisher version: http://dx.doi.org/10.1016/j.apenergy.2017.03.001
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Energy system models; Uncertainty; Modelling guidance
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/1546818
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