How does energy modelling influence policymaking? Insights from low-and middle-income countries

被引:2
作者
Fuchs, J. L. [1 ]
Tesfamichael, M. [2 ]
Clube, R. [1 ]
Tomei, J. [1 ]
机构
[1] UCL, Inst Sustainable Resources, Cent House,14 Upper Woburn Pl, London WC1H 0NN, England
[2] UCL, Dept Sci Technol Engn & Publ Policy, 22 Gordon Sq, London, England
关键词
Energy system modelling; Energy planning; Energy transitions; Low-and-middle-income countries; Political economy; Policymaking; Capacity building; SYSTEMS;
D O I
10.1016/j.rser.2024.114726
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Energy system models are widely used to explore, analyse and plan energy futures and sustainable transitions. These models, typically developed in high-income countries, have more recently been applied in low- and middle-income countries (LMICs). As a result, the role that models play in informing decisions in such contexts lacks adequate exploration. Drawing on 35 qualitative interviews with energy system modellers and policymakers, this research examines the experiences of developing and using energy system models that support decision-making in LMICs. The findings suggest that many conventional modelling approaches do not account for the political economy influences and developmental challenges specific to LMICs, with implications for modelling processes and outcomes. The interviews highlighted the need to understand the roles played by diverse stakeholders in shaping modelling processes, as well as the communication, interpretation and use of energy models. This indicates that, particularly in modelling projects which bring in external modellers, a good understanding of the country context is essential to design appropriate model scenarios and for their interpretation in policymaking. Finally, more in-country capacity is needed to foster local ownership of modelling projects.
引用
收藏
页数:10
相关论文
共 71 条
  • [31] Exploring the possibility space: taking stock of the diverse capabilities and gaps in integrated assessment models
    Keppo, I
    Butnar, I
    Bauer, N.
    Caspani, M.
    Edelenbosch, O.
    Emmerling, J.
    Fragkos, P.
    Guivarch, C.
    Harmsen, M.
    Lefevre, J.
    Le Gallic, T.
    Leimbach, M.
    McDowall, W.
    Mercure, J-F
    Schaeffer, R.
    Trutnevyte, E.
    Wagner, F.
    [J]. ENVIRONMENTAL RESEARCH LETTERS, 2021, 16 (05):
  • [32] How we classify countries and people - and why it matters
    Khan, Themrise
    Abimbola, Seye
    Kyobutungi, Catherine
    Pai, Madhukar
    [J]. BMJ GLOBAL HEALTH, 2022, 7 (06):
  • [33] Kloos B., 2021, Energy modelling and policymaking in sub-saharan Africa and South Asia
  • [34] Kondili E, 2010, WOODHEAD PUBL SER EN, P81, DOI 10.1533/9781845699628.1.81
  • [35] Gender equality in climate policy and practice hindered by assumptions
    Lau, Jacqueline D.
    Kleiber, Danika
    Lawless, Sarah
    Cohen, Philippa J.
    [J]. NATURE CLIMATE CHANGE, 2021, 11 (03) : 186 - 192
  • [36] LEAP: Low Emissions Analysis Platform, About us
  • [37] Leslie D, 2022, SSRN Electron J, DOI [10.2139/SSRN.4073376, DOI 10.2139/SSRN.4073376]
  • [38] Incorporating homeowners' preferences of heating technologies in the UK TIMES model
    Li, Pei-Hao
    Keppo, Ilkka
    Strachan, Neil
    [J]. ENERGY, 2018, 148 : 716 - 727
  • [39] Modeling, planning, application and management of energy systems for isolated areas: A review
    Liu, Yanfeng
    Yu, Sisi
    Zhu, Ying
    Wang, Dengjia
    Liu, Jiaping
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 82 : 460 - 470
  • [40] Is bio-energy carbon capture and storage (BECCS) feasible? The contested authority of integrated assessment modeling
    Low, Sean
    Schaefer, Stefan
    [J]. ENERGY RESEARCH & SOCIAL SCIENCE, 2020, 60