Formalizing best practice for energy system optimization modelling
Reviewartikel, 2017

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.

Energy system models


Modelling guidance


Joseph DeCarolis

North Carolina State University

Hannah Daly

International Energy Agency

Paul Dodds

University College London (UCL)

I. Keppo

University College London (UCL)

Francis Li

University College London (UCL)

Will McDowall

University College London (UCL)

Steve Pye

University College London (UCL)

Neil Strachan

University College London (UCL)

Evelina Trutnevyte

Eidgenössische Technische Hochschule Zürich (ETH)

Will Usher

University of Oxford

Matthew Winning

University College London (UCL)

Sonia Yeh

Chalmers, Energi och miljö, Fysisk resursteori

Marianne Zeyringer

University College London (UCL)

Applied Energy

0306-2619 (ISSN) 18729118 (eISSN)

Vol. 194 184-198


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