4.8 Article

Trends in tools and approaches for modelling the energy transition

期刊

APPLIED ENERGY
卷 290, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2021.116731

关键词

Energy system modelling tool; Energy models; Energy system analysis; Survey; Review

资金

  1. SENTINEL project of the European Union [837089]
  2. Innovation Fund Denmark [6154-00022B]

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Energy system models are crucial for planning energy transition pathways and understanding their impacts. A variety of modelling tools are available for different technical and methodological considerations. Current trends in energy system modelling include increasing cross-sectoral synergies, a focus on open access, and improved temporal detail for planning scenarios with high levels of renewable energy sources.
Energy system models are crucial to plan energy transition pathways and understand their impacts. A vast range of energy system modelling tools is available, providing modelling practitioners, planners, and decision-makers with multiple alternatives to represent the energy system according to different technical and methodological considerations. To better understand this landscape, here we identify current trends in the field of energy system modelling. First, we survey previous review studies, identifying their distinct focus areas and review methodologies. Second, we gather information about 54 energy system modelling tools directly from model developers and users. Unlike previous questionnaire-based studies solely focusing on technical descriptions, we include application aspects of the modelling tools, such as perceived policy-relevance, user accessibility, and model linkages. We find that, to assess the possible applications and to build a common understanding of the capabilities of these modelling tools, it is necessary to engage in dialogue with developers and users. We identify three main trends of increasing modelling of cross-sectoral synergies, growing focus on open access, and improved temporal detail to deal with planning future scenarios with high levels of variable renewable energy sources. However, key challenges remain in terms of representing high resolution energy demand in all sectors, understanding how tools are coupled together, openness and accessibility, and the level of engagement between tool developers and policy/decision-makers.

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