Comparing energy system optimization models and integrated assessment models

Relevance for energy policy advice

Journal Article (2024)
Author(s)

Hauke Henke (KTH Royal Institute of Technology)

Mark Dekker (Universiteit Utrecht)

F. Lombardi (TU Delft - Energy and Industry)

Robert Pietzcker (Potsdam-Institut für Klimafolgenforschung)

Panagiotis Fragkos (E3-Modelling)

Behnam Zakeri (International Institute for Applied Systems Analysis)

Renato Rodrigues (Potsdam-Institut für Klimafolgenforschung)

Joanna Sitarz (Technical University of Berlin, Potsdam-Institut für Klimafolgenforschung)

Johannes Emmerling (European Institute for the Economics and the Environment (EIEE))

Amir Fattahi (TNO)

Francesco Dalla Longa (TNO)

Igor Tatarewicz (The Institute of Environmental Protection – National Research Institute (IEP-NRI))

Theofano Fotiou (E3-Modelling)

Michał Lewarski (The Institute of Environmental Protection – National Research Institute (IEP-NRI))

Daniel Huppmann (International Institute for Applied Systems Analysis)

Kostas Kavvadias (E3-Modelling)

Bob van der Zwaan (TNO)

Will Usher (KTH Royal Institute of Technology)

Research Group
Energy and Industry
DOI related publication
https://doi.org/10.12688/openreseurope.15590.2
More Info
expand_more
Publication Year
2024
Language
English
Research Group
Energy and Industry
Volume number
3
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Background: The transition to a climate neutral society such as that envisaged in the European Union Green Deal requires careful and comprehensive planning. Integrated assessment models (IAMs) and energy system optimisation models (ESOMs) are both commonly used for policy advice and in the process of policy design. In Europe, a vast landscape of these models has emerged and both kinds of models have been part of numerous model comparison and model linking exercises. However, IAMs and ESOMs have rarely been compared or linked with one another. Methods: This study conducts an explorative comparison and identifies possible flows of information between 11 of the integrated assessment and energy system models in the European Climate and Energy Modelling Forum. The study identifies and compares regional aggregations and commonly reported variables. We define harmonised regions and a subset of shared result variables that enable the comparison of scenario results across the models. Results: The results highlight how power generation and demand development are related and driven by regional and sectoral drivers. They also show that demand developments like for hydrogen can be linked with power generation potentials such as onshore wind power. Lastly, the results show that the role of nuclear power is related to the availability of wind resources. Conclusions: This comparison and analysis of modelling results across model type boundaries provides modellers and policymakers with a better understanding of how to interpret both IAM and ESOM results. It also highlights the need for community standards for region definitions and information about reported variables to facilitate future comparisons of this kind. The comparison shows that regional aggregations might conceal differences within regions that are potentially of interest for national policy makers thereby indicating a need for national-level analysis.

Files

License info not available