How Can Energy-System Models Inform Technology Development? Insights for Emerging Energy-Storage Technologies

18 Pages Posted: 21 May 2025

See all articles by Valentin Bertsch

Valentin Bertsch

Ruhr University of Bochum

Jonas Finke

Chair of Energy Systems and Energy Economics, Ruhr University Bochum

Katharina Esser

Ruhr University of Bochum

Leonie Plaga

affiliation not provided to SSRN

Matthias Mersch

Imperial College London - Clean Energy Processes (CEP) Laboratory; Imperial College London - Centre for Environmental Policy; Imperial College London - Centre for Process Systems Engineering (CPSE)

Jonathan Stelzer

Karlsruhe Institute of Technology

Burak Atakan

University of Duisburg-Essen

Wolf Fichtner

Karlsruhe Institute of Technology

Christos N. Markides

Imperial College London - Clean Energy Processes (CEP) Laboratory

Ramteen Sioshansi

Carnegie Mellon University

Abstract

Energy-system models (ESMs) are often used to support policymakers, system operators or investors, but fall short of offering guidance to technology developers. This paper aims to bridge the gap between energy-systems modelling and technology development. Focussing specifically on electricity-storage technologies, we highlight how ESM outcomes can inform the development of emerging technologies. We use a model that includes four promising energy-storage technologies in a capacity-expansion and dispatch optimisation of the European electricity system with a constraint that allows zero carbon emissions before the year 2050. Our model outcomes are geared towards informing technology developers, particularly regarding optimal energy-to-power ratios, full-cycle equivalents, dispatch curves, and promising markets. We link these design and dispatch decisions with each other and with energy-storage characteristics (e.g., capital expenditures and efficiencies) and with renewable-energy potentials of different countries. The insights that are generated can support developers, e.g., by providing guidance on operational requirements or trade-offs in design decisions. We conclude that there are no significant barriers to informing technology development with ESMs. However, future work should improve the representation of technological details and develop inverse modelling approaches for technologies in very early development stages with still highly uncertain parameters.

Keywords: Energy storage, Electricity-system decarbonisation, Technology readiness level, Energy-system model, Technology development

Suggested Citation

Bertsch, Valentin and Finke, Jonas and Esser, Katharina and Plaga, Leonie and Mersch, Matthias and Stelzer, Jonathan and Atakan, Burak and Fichtner, Wolf and Markides, Christos N. and Sioshansi, Ramteen, How Can Energy-System Models Inform Technology Development? Insights for Emerging Energy-Storage Technologies. Available at SSRN: https://ssrn.com/abstract=5262884 or http://dx.doi.org/10.2139/ssrn.5262884

Valentin Bertsch (Contact Author)

Ruhr University of Bochum ( email )

Jonas Finke

Chair of Energy Systems and Energy Economics, Ruhr University Bochum ( email )

Universitätsstraße 150
Bochum, 44801
Germany

Katharina Esser

Ruhr University of Bochum ( email )

Bochum
Germany

Leonie Plaga

affiliation not provided to SSRN ( email )

Matthias Mersch

Imperial College London - Clean Energy Processes (CEP) Laboratory ( email )

South Kensington Campus
London, SW7 2AZ
United Kingdom

Imperial College London - Centre for Environmental Policy ( email )

South Kensington Campus
London, SW7 2AZ
United Kingdom

Imperial College London - Centre for Process Systems Engineering (CPSE) ( email )

South Kensington Campus
London, SW7 2AZ
United Kingdom

Jonathan Stelzer

Karlsruhe Institute of Technology ( email )

Kaiserstraße 12
Karlsruhe, 76131
Germany

Burak Atakan

University of Duisburg-Essen ( email )

Wolf Fichtner

Karlsruhe Institute of Technology ( email )

Kaiserstraße 12
Karlsruhe, 76131
Germany

Christos N. Markides

Imperial College London - Clean Energy Processes (CEP) Laboratory ( email )

Ramteen Sioshansi

Carnegie Mellon University ( email )

Pittsburgh, PA 15213-3890
United States

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