Trends in tools and approaches for modelling the energy transition

被引:218
作者
Chang, Miguel [1 ]
Thellufsen, Jakob Zink [1 ]
Zakeri, Behnam [2 ,3 ]
Pickering, Bryn [4 ]
Pfenninger, Stefan [4 ]
Lund, Henrik [1 ]
Ostergaard, Poul Alberg [1 ]
机构
[1] Aalborg Univ, Dept Planning, Rendsburggade 14, DK-9000 Aalborg, Denmark
[2] Int Inst Appl Syst Anal IIASA, Energy Program, Schlosspl 1, A-2361 Laxenburg, Austria
[3] Aalborg Univ, Dept Planning, AC Meyers Voenge 15, DK-2450 Copenhagen, Denmark
[4] Swiss Fed Inst Technol, Dept Environm Syst Sci, Univ Str 16, CH-8092 Zurich, Switzerland
关键词
Energy system modelling tool; Energy models; Energy system analysis; Survey; Review; 100-PERCENT RENEWABLE ENERGY; SOFT-LINKING; DEMAND RESPONSE; SYSTEM OPTIMIZATION; POWER-SYSTEMS; TOP-DOWN; IMPACT; POLICY; ELECTRICITY; CLIMATE;
D O I
10.1016/j.apenergy.2021.116731
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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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页数:18
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