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Challenges and opportunities for energy system modelling to foster multi-level governance of energy transitions

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  • Hofbauer, Leonhard
  • McDowall, Will
  • Pye, Steve

Abstract

Achieving the swift energy transition necessary to meet global climate ambitions requires concerted action across governance scales, from municipal authorities to national governments. Decision-making is often closely informed by energy system modelling, making energy models a crucial tool to foster a multi-level governance system that is based on mutual understanding and coordination across scales. Here, we review 186 energy modelling studies and identify challenges and opportunities for the energy modelling community to take into account and facilitate multi-level governance systems. We show that current energy modelling practices typically focus on and aim to support a single scale, largely overlooking the multi-level nature of energy governance. Embedding multi-level governance throughout the energy modelling process entails significant obstacles but is crucial for ensuring such approaches continue to provide timely and salient decision-support.

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  • Hofbauer, Leonhard & McDowall, Will & Pye, Steve, 2022. "Challenges and opportunities for energy system modelling to foster multi-level governance of energy transitions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
  • Handle: RePEc:eee:rensus:v:161:y:2022:i:c:s1364032122002441
    DOI: 10.1016/j.rser.2022.112330
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    as
    1. Astudillo, Miguel F. & Vaillancourt, Kathleen & Pineau, Pierre-Olivier & Amor, Ben, 2017. "Can the household sector reduce global warming mitigation costs? sensitivity to key parameters in a TIMES techno-economic energy model," Applied Energy, Elsevier, vol. 205(C), pages 486-498.
    2. Goldthau, Andreas & Sovacool, Benjamin K., 2012. "The uniqueness of the energy security, justice, and governance problem," Energy Policy, Elsevier, vol. 41(C), pages 232-240.
    3. Gönenç Yücel & Els van Daalen, 2009. "An Objective-Based Perspective on Assessment of Model-Supported Policy Processes," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(4), pages 1-3.
    4. Mirakyan, Atom & De Guio, Roland, 2013. "Integrated energy planning in cities and territories: A review of methods and tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 289-297.
    5. Keirstead, James & Calderon, Carlos, 2012. "Capturing spatial effects, technology interactions, and uncertainty in urban energy and carbon models: Retrofitting newcastle as a case-study," Energy Policy, Elsevier, vol. 46(C), pages 253-267.
    6. Ghosh, Debyani & Shukla, P. R. & Garg, Amit & Ramana, P. Venkata, 2002. "Renewable energy technologies for the Indian power sector: mitigation potential and operational strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(6), pages 481-512, December.
    7. Chris Bataille & Noel Melton & Mark Jaccard, 2015. "Policy uncertainty and diffusion of carbon capture and storage in an optimal region," Climate Policy, Taylor & Francis Journals, vol. 15(5), pages 565-582, September.
    8. Eggimann, Sven & Hall, Jim W. & Eyre, Nick, 2019. "A high-resolution spatio-temporal energy demand simulation to explore the potential of heating demand side management with large-scale heat pump diffusion," Applied Energy, Elsevier, vol. 236(C), pages 997-1010.
    9. Bačeković, Ivan & Østergaard, Poul Alberg, 2018. "Local smart energy systems and cross-system integration," Energy, Elsevier, vol. 151(C), pages 812-825.
    10. Lu, Liwei & Preckel, Paul V. & Gotham, Douglas & Liu, Andrew L., 2016. "An assessment of alternative carbon mitigation policies for achieving the emissions reduction of the Clean Power Plan: Case study for the state of Indiana," Energy Policy, Elsevier, vol. 96(C), pages 661-672.
    11. Savvidis, Georgios & Siala, Kais & Weissbart, Christoph & Schmidt, Lukas & Borggrefe, Frieder & Kumar, Subhash & Pittel, Karen & Madlener, Reinhard & Hufendiek, Kai, 2019. "The gap between energy policy challenges and model capabilities," Energy Policy, Elsevier, vol. 125(C), pages 503-520.
    12. DeCarolis, Joseph & Daly, Hannah & Dodds, Paul & Keppo, Ilkka & Li, Francis & McDowall, Will & Pye, Steve & Strachan, Neil & Trutnevyte, Evelina & Usher, Will & Winning, Matthew & Yeh, Sonia & Zeyring, 2017. "Formalizing best practice for energy system optimization modelling," Applied Energy, Elsevier, vol. 194(C), pages 184-198.
    13. Sperling, Karl & Hvelplund, Frede & Mathiesen, Brian Vad, 2011. "Centralisation and decentralisation in strategic municipal energy planning in Denmark," Energy Policy, Elsevier, vol. 39(3), pages 1338-1351, March.
    14. Li, Francis G.N. & Bataille, Chris & Pye, Steve & O'Sullivan, Aidan, 2019. "Prospects for energy economy modelling with big data: Hype, eliminating blind spots, or revolutionising the state of the art?," Applied Energy, Elsevier, vol. 239(C), pages 991-1002.
    15. Börjesson, Martin & Ahlgren, Erik O., 2012. "Cost-effective biogas utilisation – A modelling assessment of gas infrastructural options in a regional energy system," Energy, Elsevier, vol. 48(1), pages 212-226.
    16. Martin Robinius & Felix ter Stein & Adrien Schwane & Detlef Stolten, 2017. "A Top-Down Spatially Resolved Electrical Load Model," Energies, MDPI, vol. 10(3), pages 1-16, March.
    17. Vaillancourt, Kathleen & Alcocer, Yuri & Bahn, Olivier & Fertel, Camille & Frenette, Erik & Garbouj, Hichem & Kanudia, Amit & Labriet, Maryse & Loulou, Richard & Marcy, Mathilde & Neji, Yosra & Waaub,, 2014. "A Canadian 2050 energy outlook: Analysis with the multi-regional model TIMES-Canada," Applied Energy, Elsevier, vol. 132(C), pages 56-65.
    18. Bartholdsen, Hans-Karl & Eidens, Anna & Löffler, Konstantin & Seehaus, Frederik & Wejda, Felix & Burandt, Thorsten & Oei, Pao-Yu & Kemfert, Claudia & Hirschhausen, Christian von, 2019. "Pathways for Germany's Low-Carbon Energy Transformation Towards 2050," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 12(15), pages 1-33.
    19. Neil Strachan & Birgit Fais & Hannah Daly, 2016. "Reinventing the energy modelling–policy interface," Nature Energy, Nature, vol. 1(3), pages 1-3, March.
    20. Comodi, Gabriele & Cioccolanti, Luca & Polonara, Fabio & Brandoni, Caterina, 2012. "Local authorities in the context of energy and climate policy," Energy Policy, Elsevier, vol. 51(C), pages 737-748.
    21. Jann Michael Weinand, 2020. "Reviewing Municipal Energy System Planning in a Bibliometric Analysis: Evolution of the Research Field between 1991 and 2019," Energies, MDPI, vol. 13(6), pages 1-18, March.
    22. Knutsson, David & Sahlin, Jenny & Werner, Sven & Ekvall, Tomas & Ahlgren, Erik O., 2006. "HEATSPOT—a simulation tool for national district heating analyses," Energy, Elsevier, vol. 31(2), pages 278-293.
    23. Thellufsen, Jakob Zinck & Lund, Henrik, 2016. "Roles of local and national energy systems in the integration of renewable energy," Applied Energy, Elsevier, vol. 183(C), pages 419-429.
    24. Wretling, Vincent & Gunnarsson-Östling, Ulrika & Hörnberg, Christina & Balfors, Berit, 2018. "Strategic municipal energy planning in Sweden – Examining current energy planning practice and its influence on comprehensive planning," Energy Policy, Elsevier, vol. 113(C), pages 688-700.
    25. Yazdanie, Mashael & Densing, Martin & Wokaun, Alexander, 2016. "The role of decentralized generation and storage technologies in future energy systems planning for a rural agglomeration in Switzerland," Energy Policy, Elsevier, vol. 96(C), pages 432-445.
    26. Kumar Biswajit Debnath & Monjur Mourshed, 2018. "Author Correction: Challenges and gaps for energy planning models in the developing-world context," Nature Energy, Nature, vol. 3(6), pages 528-528, June.
    27. Keirstead, James & Jennings, Mark & Sivakumar, Aruna, 2012. "A review of urban energy system models: Approaches, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3847-3866.
    28. Kumar Biswajit Debnath & Monjur Mourshed, 2018. "Challenges and gaps for energy planning models in the developing-world context," Nature Energy, Nature, vol. 3(3), pages 172-184, March.
    29. Elinor Ostrom, 2016. "Nested Externalities and Polycentric Institutions: Must We Wait for Global Solutions to Climate Change Before Taking Actions at Other Scales?," Studies in Economic Theory, in: Graciela Chichilnisky & Armon Rezai (ed.), The Economics of the Global Environment, pages 259-276, Springer.
    30. Strachan, Neil & Pye, Steve & Kannan, Ramachandran, 2009. "The iterative contribution and relevance of modelling to UK energy policy," Energy Policy, Elsevier, vol. 37(3), pages 850-860, March.
    31. Cash, David & Clark, William & Alcock, Frank & Dickson, Nancy & Eckley, Noelle & Jager, Jill, 2002. "Salience, Credibility, Legitimacy and Boundaries: Linking Research, Assessment and Decision Making," Working Paper Series rwp02-046, Harvard University, John F. Kennedy School of Government.
    32. Xi Yang & Xiaoqian Xi & Shan Guo & Wanqi Lin & Xiangzhao Feng, 2018. "Carbon Mitigation Pathway Evaluation and Environmental Benefit Analysis of Mitigation Technologies in China’s Petrochemical and Chemical Industry," Energies, MDPI, vol. 11(12), pages 1-25, November.
    33. Lazarus, Michael & Chandler, Chelsea & Erickson, Peter, 2013. "A core framework and scenario for deep GHG reductions at the city scale," Energy Policy, Elsevier, vol. 57(C), pages 563-574.
    34. Lopion, Peter & Markewitz, Peter & Robinius, Martin & Stolten, Detlef, 2018. "A review of current challenges and trends in energy systems modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 156-166.
    35. Anandarajah, Gabrial & McDowall, Will, 2012. "What are the costs of Scotland's climate and renewable policies?," Energy Policy, Elsevier, vol. 50(C), pages 773-783.
    36. Ludig, Sylvie & Haller, Markus & Schmid, Eva & Bauer, Nico, 2011. "Fluctuating renewables in a long-term climate change mitigation strategy," Energy, Elsevier, vol. 36(11), pages 6674-6685.
    37. Li, Francis G.N. & Trutnevyte, Evelina & Strachan, Neil, 2015. "A review of socio-technical energy transition (STET) models," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 290-305.
    38. Hunter, Kevin & Sreepathi, Sarat & DeCarolis, Joseph F., 2013. "Modeling for insight using Tools for Energy Model Optimization and Analysis (Temoa)," Energy Economics, Elsevier, vol. 40(C), pages 339-349.
    39. DeCarolis, Joseph F. & Hunter, Kevin & Sreepathi, Sarat, 2012. "The case for repeatable analysis with energy economy optimization models," Energy Economics, Elsevier, vol. 34(6), pages 1845-1853.
    40. Yazdanie, Mashael & Densing, Martin & Wokaun, Alexander, 2018. "The nationwide characterization and modeling of local energy systems: Quantifying the role of decentralized generation and energy resources in future communities," Energy Policy, Elsevier, vol. 118(C), pages 516-533.
    41. Takase, Kae & Suzuki, Tatsujiro, 2011. "The Japanese energy sector: Current situation, and future paths," Energy Policy, Elsevier, vol. 39(11), pages 6731-6744.
    42. Stefan Pfenninger, 2017. "Energy scientists must show their workings," Nature, Nature, vol. 542(7642), pages 393-393, February.
    43. Dhar, Subash & Shukla, Priyadarshi R., 2015. "Low carbon scenarios for transport in India: Co-benefits analysis," Energy Policy, Elsevier, vol. 81(C), pages 186-198.
    44. Scheller, Fabian & Bruckner, Thomas, 2019. "Energy system optimization at the municipal level: An analysis of modeling approaches and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 444-461.
    45. Gürkan Kumbaroğlu & Cansu Canaz & Jonathan Deason & Ekundayo Shittu, 2020. "Profitable Decarbonization through E-Mobility," Energies, MDPI, vol. 13(16), pages 1-23, August.
    46. Pfenninger, Stefan & DeCarolis, Joseph & Hirth, Lion & Quoilin, Sylvain & Staffell, Iain, 2017. "The importance of open data and software: Is energy research lagging behind?," Energy Policy, Elsevier, vol. 101(C), pages 211-215.
    47. Yazdanie, Mashael & Densing, Martin & Wokaun, Alexander, 2017. "Cost optimal urban energy systems planning in the context of national energy policies: A case study for the city of Basel," Energy Policy, Elsevier, vol. 110(C), pages 176-190.
    48. Sasse, Jan-Philipp & Trutnevyte, Evelina, 2019. "Distributional trade-offs between regionally equitable and cost-efficient allocation of renewable electricity generation," Applied Energy, Elsevier, vol. 254(C).
    49. Sharma, Tarun & Glynn, James & Panos, Evangelos & Deane, Paul & Gargiulo, Maurizio & Rogan, Fionn & Gallachóir, Brian Ó, 2019. "High performance computing for energy system optimization models: Enhancing the energy policy tool kit," Energy Policy, Elsevier, vol. 128(C), pages 66-74.
    50. Birgit A. Henrich & Thomas Hoppe & Devin Diran & Zofia Lukszo, 2021. "The Use of Energy Models in Local Heating Transition Decision Making: Insights from Ten Municipalities in The Netherlands," Energies, MDPI, vol. 14(2), pages 1-23, January.
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