How Energy Modelling Influences Policymaking and Vice Versa
Energy models are used to explore different options for the development of energy systems in virtual „laboratories“. Scientists have been using energy models to provide policy advice for years. As a new study shows, energy models influence policymaking around the energy transition. Similarly, policymakers influence the work of modellers. Greater transparency is needed to ensure that political considerations do not set the agenda for future research or determine its findings, the researchers demand.
Renewable energies bring many changes, including fluctuations in the energy supply and a more geographically distributed generation system. Despite the myriad uncertainties, politicians must make important decisions around the future development of the energy system. Key issues include the choice of technologies and the location of renewable energy infrastructure, the integration of the electricity, heating, transportation and industry sectors, as well as the balancing of interests of diverse stakeholders and population groups. A team of researchers has studied both the role of computer-based energy models in the political decision-making process and, conversely, how policymakers influence energy modelling.
Energy models inform policy decisions that shape our energy future
The researchers analysed a range of documents, including legislative texts, position papers and progress reports as well as secondary literature on political processes. They also conducted 32 interviews with various actors from politics, science, industry, and non-governmental organisations in Germany, Sweden, Poland, Greece and at the European Union level. „The results of this research clearly show that models help to explore possible energy futures. Their influence on policymaking is growing accordingly: politicians draw on modelling outputs to define energy and climate targets and study policy measures to achieve them,“ says lead author Diana Süsser.
Likewise, policymakers influence modelling, for example by helping to define research questions and the scope of studies, and by deciding how the results will be used. In interviews, however, policymakers suggested that modelling results were often too general for their purposes and left specific questions unanswered. According to these respondents, models lack transparency, which can undermine the credibility of their results. The respondents said that they would like researchers to engage with them more closely so that models could be developed to address the issues relevant to policy development.
Modelling can help to shape the energy transition
This interest in co-creative cooperation is welcome in principle, says Diana Süsser. Energy models are well-suited to tackle real-world issues and achieve societal impacts. „But it is vital that neither side loses sight of the fact that researchers are committed to generating knowledge, rather than to serving political ends. The transformation of the energy system is a complex challenge and, in terms of scientific policy advice, as much as politicians would like one, there is no ’silver bullet‘.
Co-author Johan Lilliestam adds: „Models help us to understand the impacts of possible goals and policy options. What our study has shown is that they are sometimes also used to legitimise policy decisions that have already been made. Transparency, open data and open models are essential in order to protect the credibility of models and to improve their utility for policy advice.“ The IASS project „Sustainable Energy Transitions Laboratory,“ (SENTINEL) is developing a modelling framework for user-friendly models to improve cooperation between science and politics. Used properly, energy models can play an important role in the development and design of our future energy system and help us to achieve ambitious energy and climate goals.
Contact for scientific information:
Dr. Diana Süsser
+49 331 28822 454
Süsser, D., Ceglarz, A., Gaschnig, H., Stavrakas, V., Flamos, A., Giannakidi, G., Lilliestam, J., Model-based policymaking or policy-based modelling? How energy models and energy policy interact, Energy Research & Social Science, Volume 75, May 2021, https://doi.org/10.1016/j.erss.2021.101984