IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v290y2021ics0306261921002476.html
   My bibliography  Save this article

Trends in tools and approaches for modelling the energy transition

Author

Listed:
  • Chang, Miguel
  • Thellufsen, Jakob Zink
  • Zakeri, Behnam
  • Pickering, Bryn
  • Pfenninger, Stefan
  • Lund, Henrik
  • Østergaard, Poul Alberg

Abstract

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.

Suggested Citation

  • Chang, Miguel & Thellufsen, Jakob Zink & Zakeri, Behnam & Pickering, Bryn & Pfenninger, Stefan & Lund, Henrik & Østergaard, Poul Alberg, 2021. "Trends in tools and approaches for modelling the energy transition," Applied Energy, Elsevier, vol. 290(C).
    • Handle: RePEc:eee:appene:v:290:y:2021:i:c:s0306261921002476
    DOI: 10.1016/j.apenergy.2021.116731
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921002476
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2021.116731?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Child, Michael & Breyer, Christian, 2016. "Vision and initial feasibility analysis of a recarbonised Finnish energy system for 2050," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 517-536.
    2. Solé, J. & Samsó, R. & García-Ladona, E. & García-Olivares, A. & Ballabrera-Poy, J. & Madurell, T. & Turiel, A. & Osychenko, O. & Álvarez, D. & Bardi, U. & Baumann, M. & Buchmann, K. & Capellán-Pérez,, 2020. "Modelling the renewable transition: Scenarios and pathways for a decarbonized future using pymedeas, a new open-source energy systems model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    3. Connolly, D. & Lund, H. & Mathiesen, B.V., 2016. "Smart Energy Europe: The technical and economic impact of one potential 100% renewable energy scenario for the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1634-1653.
    4. Dominković, D.F. & Dobravec, V. & Jiang, Y. & Nielsen, P.S. & Krajačić, G., 2018. "Modelling smart energy systems in tropical regions," Energy, Elsevier, vol. 155(C), pages 592-609.
    5. Robinson, John Bridger, 1982. "Energy backcasting A proposed method of policy analysis," Energy Policy, Elsevier, vol. 10(4), pages 337-344, December.
    6. Després, Jacques & Hadjsaid, Nouredine & Criqui, Patrick & Noirot, Isabelle, 2015. "Modelling the impacts of variable renewable sources on the power sector: Reconsidering the typology of energy modelling tools," Energy, Elsevier, vol. 80(C), pages 486-495.
    7. Leonidas Mantzos & Tobias Wiesenthal & Nicoleta Anca Matei & Mate Rozsai & Elena Navajas Cawood & Ioanna Kourti & Anastasios Papafragkou & Peter Russ & Antonio Soria Ramirez, 2016. "POTEnCIA model description - version 0.9," JRC Research Reports JRC100638, Joint Research Centre.
    8. 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.
    9. Hall, Lisa M.H. & Buckley, Alastair R., 2016. "A review of energy systems models in the UK: Prevalent usage and categorisation," Applied Energy, Elsevier, vol. 169(C), pages 607-628.
    10. Blanco, Herib & Nijs, Wouter & Ruf, Johannes & Faaij, André, 2018. "Potential for hydrogen and Power-to-Liquid in a low-carbon EU energy system using cost optimization," Applied Energy, Elsevier, vol. 232(C), pages 617-639.
    11. Henrik Lund & Finn Arler & Poul Alberg Østergaard & Frede Hvelplund & David Connolly & Brian Vad Mathiesen & Peter Karnøe, 2017. "Simulation versus Optimisation: Theoretical Positions in Energy System Modelling," Energies, MDPI, vol. 10(7), pages 1-17, June.
    12. Fattahi, A. & Sijm, J. & Faaij, A., 2020. "A systemic approach to analyze integrated energy system modeling tools: A review of national models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    13. Ben Amer-Allam, Sara & Münster, Marie & Petrović, Stefan, 2017. "Scenarios for sustainable heat supply and heat savings in municipalities - The case of Helsingør, Denmark," Energy, Elsevier, vol. 137(C), pages 1252-1263.
    14. Musonye, Xavier S. & Davíðsdóttir, Brynhildur & Kristjánsson, Ragnar & Ásgeirsson, Eyjólfur I. & Stefánsson, Hlynur, 2020. "Integrated energy systems’ modeling studies for sub-Saharan Africa: A scoping review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    15. Neves, Diana & Pina, André & Silva, Carlos A., 2015. "Demand response modeling: A comparison between tools," Applied Energy, Elsevier, vol. 146(C), pages 288-297.
    16. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    17. van Beeck, N.M.J.P., 1999. "Classification of Energy Models," Other publications TiSEM 6f2cbb5e-2d53-4be6-a4f9-9, Tilburg University, School of Economics and Management.
    18. Kwon, Pil Seok & Østergaard, Poul, 2014. "Assessment and evaluation of flexible demand in a Danish future energy scenario," Applied Energy, Elsevier, vol. 134(C), pages 309-320.
    19. Krook-Riekkola, Anna & Berg, Charlotte & Ahlgren, Erik O. & Söderholm, Patrik, 2017. "Challenges in top-down and bottom-up soft-linking: Lessons from linking a Swedish energy system model with a CGE model," Energy, Elsevier, vol. 141(C), pages 803-817.
    20. Limpens, Gauthier & Moret, Stefano & Jeanmart, Hervé & Maréchal, Francois, 2019. "EnergyScope TD: A novel open-source model for regional energy systems," Applied Energy, Elsevier, vol. 255(C).
    21. Deane, J.P. & Chiodi, Alessandro & Gargiulo, Maurizio & Ó Gallachóir, Brian P., 2012. "Soft-linking of a power systems model to an energy systems model," Energy, Elsevier, vol. 42(1), pages 303-312.
    22. Klemm, Christian & Vennemann, Peter, 2021. "Modeling and optimization of multi-energy systems in mixed-use districts: A review of existing methods and approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    23. Koppelaar, Rembrandt H.E.M. & Keirstead, James & Shah, Nilay & Woods, Jeremy, 2016. "A review of policy analysis purpose and capabilities of electricity system models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1531-1544.
    24. Pfenninger, Stefan, 2017. "Dealing with multiple decades of hourly wind and PV time series in energy models: A comparison of methods to reduce time resolution and the planning implications of inter-annual variability," Applied Energy, Elsevier, vol. 197(C), pages 1-13.
    25. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    26. Prina, Matteo Giacomo & Manzolini, Giampaolo & Moser, David & Nastasi, Benedetto & Sparber, Wolfram, 2020. "Classification and challenges of bottom-up energy system models - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 129(C).
    27. Mahmud, Khizir & Town, Graham E., 2016. "A review of computer tools for modeling electric vehicle energy requirements and their impact on power distribution networks," Applied Energy, Elsevier, vol. 172(C), pages 337-359.
    28. 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.
    29. Finn Roar Aune & Rolf Golombek & Sverre A.C. Kittelsen & Knut Einar Rosendahl, 2008. "Liberalizing European Energy Markets," Books, Edward Elgar Publishing, number 3071.
    30. Thellufsen, J.Z. & Lund, H. & Sorknæs, P. & Østergaard, P.A. & Chang, M. & Drysdale, D. & Nielsen, S. & Djørup, S.R. & Sperling, K., 2020. "Smart energy cities in a 100% renewable energy context," Renewable and Sustainable Energy Reviews, Elsevier, vol. 129(C).
    31. Pfenninger, Stefan & Keirstead, James, 2015. "Renewables, nuclear, or fossil fuels? Scenarios for Great Britain’s power system considering costs, emissions and energy security," Applied Energy, Elsevier, vol. 152(C), pages 83-93.
    32. Hilbers, Adriaan P. & Brayshaw, David J. & Gandy, Axel, 2019. "Importance subsampling: improving power system planning under climate-based uncertainty," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    33. Kiviluoma, Juha & Meibom, Peter, 2011. "Methodology for modelling plug-in electric vehicles in the power system and cost estimates for a system with either smart or dumb electric vehicles," Energy, Elsevier, vol. 36(3), pages 1758-1767.
    34. Huang, Zishuo & Yu, Hang & Peng, Zhenwei & Zhao, Mei, 2015. "Methods and tools for community energy planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1335-1348.
    35. Markovic, Dragan & Cvetkovic, Dragan & Masic, Branislav, 2011. "Survey of software tools for energy efficiency in a community," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4897-4903.
    36. McCallum, Peter & Jenkins, David P. & Peacock, Andrew D. & Patidar, Sandhya & Andoni, Merlinda & Flynn, David & Robu, Valentin, 2019. "A multi-sectoral approach to modelling community energy demand of the built environment," Energy Policy, Elsevier, vol. 132(C), pages 865-875.
    37. Deane, J.P. & Drayton, G. & Ó Gallachóir, B.P., 2014. "The impact of sub-hourly modelling in power systems with significant levels of renewable generation," Applied Energy, Elsevier, vol. 113(C), pages 152-158.
    38. Sinha, Sunanda & Chandel, S.S., 2015. "Review of recent trends in optimization techniques for solar photovoltaic–wind based hybrid energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 755-769.
    39. Prina, Matteo Giacomo & Lionetti, Matteo & Manzolini, Giampaolo & Sparber, Wolfram & Moser, David, 2019. "Transition pathways optimization methodology through EnergyPLAN software for long-term energy planning," Applied Energy, Elsevier, vol. 235(C), pages 356-368.
    40. Anjo, João & Neves, Diana & Silva, Carlos & Shivakumar, Abhishek & Howells, Mark, 2018. "Modeling the long-term impact of demand response in energy planning: The Portuguese electric system case study," Energy, Elsevier, vol. 165(PA), pages 456-468.
    41. O׳Connell, Niamh & Pinson, Pierre & Madsen, Henrik & O׳Malley, Mark, 2014. "Benefits and challenges of electrical demand response: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 686-699.
    42. Andersen, Kristoffer S. & Termansen, Lars B. & Gargiulo, Maurizio & Ó Gallachóirc, Brian P., 2019. "Bridging the gap using energy services: Demonstrating a novel framework for soft linking top-down and bottom-up models," Energy, Elsevier, vol. 169(C), pages 277-293.
    43. Ferrari, Simone & Zagarella, Federica & Caputo, Paola & Bonomolo, Marina, 2019. "Assessment of tools for urban energy planning," Energy, Elsevier, vol. 176(C), pages 544-551.
    44. Mendes, Gonçalo & Ioakimidis, Christos & Ferrão, Paulo, 2011. "On the planning and analysis of Integrated Community Energy Systems: A review and survey of available tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4836-4854.
    45. Darby, Sarah J., 2020. "Demand response and smart technology in theory and practice: Customer experiences and system actors," Energy Policy, Elsevier, vol. 143(C).
    46. Jacobson, Mark Z. & Delucchi, Mark A. & Cameron, Mary A. & Mathiesen, Brian V., 2018. "Matching demand with supply at low cost in 139 countries among 20 world regions with 100% intermittent wind, water, and sunlight (WWS) for all purposes," Renewable Energy, Elsevier, vol. 123(C), pages 236-248.
    47. Brown, T. & Schlachtberger, D. & Kies, A. & Schramm, S. & Greiner, M., 2018. "Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system," Energy, Elsevier, vol. 160(C), pages 720-739.
    48. Østergaard, Poul Alberg & Jantzen, Jan & Marczinkowski, Hannah Mareike & Kristensen, Michael, 2019. "Business and socioeconomic assessment of introducing heat pumps with heat storage in small-scale district heating systems," Renewable Energy, Elsevier, vol. 139(C), pages 904-914.
    49. Riva, Fabio & Gardumi, Francesco & Tognollo, Annalisa & Colombo, Emanuela, 2019. "Soft-linking energy demand and optimisation models for local long-term electricity planning: An application to rural India," Energy, Elsevier, vol. 166(C), pages 32-46.
    50. Mathiesen, B.V. & Lund, H. & Connolly, D. & Wenzel, H. & Østergaard, P.A. & Möller, B. & Nielsen, S. & Ridjan, I. & Karnøe, P. & Sperling, K. & Hvelplund, F.K., 2015. "Smart Energy Systems for coherent 100% renewable energy and transport solutions," Applied Energy, Elsevier, vol. 145(C), pages 139-154.
    51. Shi, Jingcheng & Chen, Wenying & Yin, Xiang, 2016. "Modelling building’s decarbonization with application of China TIMES model," Applied Energy, Elsevier, vol. 162(C), pages 1303-1312.
    52. Thellufsen, Jakob Zinck & Lund, Henrik, 2017. "Cross-border versus cross-sector interconnectivity in renewable energy systems," Energy, Elsevier, vol. 124(C), pages 492-501.
    53. Lombardi, Francesco & Rocco, Matteo Vincenzo & Colombo, Emanuela, 2019. "A multi-layer energy modelling methodology to assess the impact of heat-electricity integration strategies: The case of the residential cooking sector in Italy," Energy, Elsevier, vol. 170(C), pages 1249-1260.
    54. Allegrini, Jonas & Orehounig, Kristina & Mavromatidis, Georgios & Ruesch, Florian & Dorer, Viktor & Evins, Ralph, 2015. "A review of modelling approaches and tools for the simulation of district-scale energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1391-1404.
    55. Dominković, D.F. & Bačeković, I. & Ćosić, B. & Krajačić, G. & Pukšec, T. & Duić, N. & Markovska, N., 2016. "Zero carbon energy system of South East Europe in 2050," Applied Energy, Elsevier, vol. 184(C), pages 1517-1528.
    56. Zerrahn, Alexander & Schill, Wolf-Peter, 2017. "Long-run power storage requirements for high shares of renewables: review and a new model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1518-1534.
    57. 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.
    58. Konstantin Löffler & Karlo Hainsch & Thorsten Burandt & Pao-Yu Oei & Claudia Kemfert & Christian Von Hirschhausen, 2017. "Designing a Model for the Global Energy System—GENeSYS-MOD: An Application of the Open-Source Energy Modeling System (OSeMOSYS)," Energies, MDPI, vol. 10(10), pages 1-28, September.
    59. Farzad Rahimi Mougouei & Mahdieh-Sadat Mortazavi, 2017. "Effective Approaches to Energy Planning and Classification of Energy Systems Models," International Journal of Energy Economics and Policy, Econjournals, vol. 7(2), pages 127-131.
    60. Blanco, Herib & Nijs, Wouter & Ruf, Johannes & Faaij, André, 2018. "Potential of Power-to-Methane in the EU energy transition to a low carbon system using cost optimization," Applied Energy, Elsevier, vol. 232(C), pages 323-340.
    61. Novosel, T. & Perković, L. & Ban, M. & Keko, H. & Pukšec, T. & Krajačić, G. & Duić, N., 2015. "Agent based modelling and energy planning – Utilization of MATSim for transport energy demand modelling," Energy, Elsevier, vol. 92(P3), pages 466-475.
    62. Hansen, Kenneth & Mathiesen, Brian Vad & Skov, Iva Ridjan, 2019. "Full energy system transition towards 100% renewable energy in Germany in 2050," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 1-13.
    63. Lund, Henrik & Østergaard, Poul Alberg & Connolly, David & Mathiesen, Brian Vad, 2017. "Smart energy and smart energy systems," Energy, Elsevier, vol. 137(C), pages 556-565.
    64. Howells, Mark & Rogner, Holger & Strachan, Neil & Heaps, Charles & Huntington, Hillard & Kypreos, Socrates & Hughes, Alison & Silveira, Semida & DeCarolis, Joe & Bazillian, Morgan & Roehrl, Alexander, 2011. "OSeMOSYS: The Open Source Energy Modeling System: An introduction to its ethos, structure and development," Energy Policy, Elsevier, vol. 39(10), pages 5850-5870, October.
    65. van Beeck, N.M.J.P., 1999. "Classification of Energy Models," Research Memorandum 777, Tilburg University, School of Economics and Management.
    66. Pavičević, Matija & Mangipinto, Andrea & Nijs, Wouter & Lombardi, Francesco & Kavvadias, Konstantinos & Jiménez Navarro, Juan Pablo & Colombo, Emanuela & Quoilin, Sylvain, 2020. "The potential of sector coupling in future European energy systems: Soft linking between the Dispa-SET and JRC-EU-TIMES models," Applied Energy, Elsevier, vol. 267(C).
    67. Weinand, Jann & Scheller, Fabian Johannes & McKenna, Russell, 2020. "Reviewing energy system modelling of decentralized energy autonomy," Working Paper Series in Production and Energy 41, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    68. Di Leo, Senatro & Caramuta, Pietro & Curci, Paola & Cosmi, Carmelina, 2020. "Regression analysis for energy demand projection: An application to TIMES-Basilicata and TIMES-Italy energy models," Energy, Elsevier, vol. 196(C).
    69. Hansen, Kenneth & Breyer, Christian & Lund, Henrik, 2019. "Status and perspectives on 100% renewable energy systems," Energy, Elsevier, vol. 175(C), pages 471-480.
    70. Manfren, Massimiliano & Caputo, Paola & Costa, Gaia, 2011. "Paradigm shift in urban energy systems through distributed generation: Methods and models," Applied Energy, Elsevier, vol. 88(4), pages 1032-1048, April.
    71. 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.
    72. 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.
    73. Connolly, D., 2017. "Heat Roadmap Europe: Quantitative comparison between the electricity, heating, and cooling sectors for different European countries," Energy, Elsevier, vol. 139(C), pages 580-593.
    74. Yang, Christopher & Yeh, Sonia & Zakerinia, Saleh & Ramea, Kalai & McCollum, David, 2015. "Achieving California's 80% greenhouse gas reduction target in 2050: Technology, policy and scenario analysis using CA-TIMES energy economic systems model," Energy Policy, Elsevier, vol. 77(C), pages 118-130.
    75. Østergaard, Poul Alberg & Andersen, Anders N., 2016. "Booster heat pumps and central heat pumps in district heating," Applied Energy, Elsevier, vol. 184(C), pages 1374-1388.
    76. 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.
    77. Foley, A.M. & Ó Gallachóir, B.P. & Hur, J. & Baldick, R. & McKeogh, E.J., 2010. "A strategic review of electricity systems models," Energy, Elsevier, vol. 35(12), pages 4522-4530.
    78. 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.
    79. Boßmann, T. & Staffell, I., 2015. "The shape of future electricity demand: Exploring load curves in 2050s Germany and Britain," Energy, Elsevier, vol. 90(P2), pages 1317-1333.
    80. 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.
    81. Pilavachi, P.A. & Dalamaga, Th. & Rossetti di Valdalbero, D. & Guilmot, J.-F., 2008. "Ex-post evaluation of European energy models," Energy Policy, Elsevier, vol. 36(5), pages 1726-1735, May.
    82. Poncelet, Kris & Delarue, Erik & Six, Daan & Duerinck, Jan & D’haeseleer, William, 2016. "Impact of the level of temporal and operational detail in energy-system planning models," Applied Energy, Elsevier, vol. 162(C), pages 631-643.
    83. Schlott, Markus & Kies, Alexander & Brown, Tom & Schramm, Stefan & Greiner, Martin, 2018. "The impact of climate change on a cost-optimal highly renewable European electricity network," Applied Energy, Elsevier, vol. 230(C), pages 1645-1659.
    84. Jann Michael Weinand & Fabian Scheller & Russell McKenna, 2020. "Reviewing energy system modelling of decentralized energy autonomy," Papers 2011.05915, arXiv.org.
    85. Bolwig, Simon & Bazbauers, Gatis & Klitkou, Antje & Lund, Peter D. & Blumberga, Andra & Gravelsins, Armands & Blumberga, Dagnija, 2019. "Review of modelling energy transitions pathways with application to energy system flexibility," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 440-452.
    86. Helgesen, Per Ivar & Lind, Arne & Ivanova, Olga & Tomasgard, Asgeir, 2018. "Using a hybrid hard-linked model to analyze reduced climate gas emissions from transport," Energy, Elsevier, vol. 156(C), pages 196-212.
    87. Weinand, Jann Michael & Scheller, Fabian & McKenna, Russell, 2020. "Reviewing energy system modelling of decentralized energy autonomy," Energy, Elsevier, vol. 203(C).
    88. Schröder, M. & Abdin, Z. & Mérida, W., 2020. "Optimization of distributed energy resources for electric vehicle charging and fuel cell vehicle refueling," Applied Energy, Elsevier, vol. 277(C).
    89. Bazilian, Morgan & Rice, Andrew & Rotich, Juliana & Howells, Mark & DeCarolis, Joseph & Macmillan, Stuart & Brooks, Cameron & Bauer, Florian & Liebreich, Michael, 2012. "Open source software and crowdsourcing for energy analysis," Energy Policy, Elsevier, vol. 49(C), pages 149-153.
    90. Jacques Després, 2015. "Development of a dispatch model of the European power system for coupling with a long-term foresight energy model," Working Papers hal-01245554, HAL.
    91. Zappa, William & Junginger, Martin & van den Broek, Machteld, 2019. "Is a 100% renewable European power system feasible by 2050?," Applied Energy, Elsevier, vol. 233, pages 1027-1050.
    92. Keppo, Ilkka & Strubegger, Manfred, 2010. "Short term decisions for long term problems – The effect of foresight on model based energy systems analysis," Energy, Elsevier, vol. 35(5), pages 2033-2042.
    93. Salvucci, Raffaele & Gargiulo, Maurizio & Karlsson, Kenneth, 2019. "The role of modal shift in decarbonising the Scandinavian transport sector: Applying substitution elasticities in TIMES-Nordic," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    94. Zakeri, Behnam & Virasjoki, Vilma & Syri, Sanna & Connolly, David & Mathiesen, Brian V. & Welsch, Manuel, 2016. "Impact of Germany's energy transition on the Nordic power market – A market-based multi-region energy system model," Energy, Elsevier, vol. 115(P3), pages 1640-1662.
    95. Capros, Pantelis & Zazias, Georgios & Evangelopoulou, Stavroula & Kannavou, Maria & Fotiou, Theofano & Siskos, Pelopidas & De Vita, Alessia & Sakellaris, Konstantinos, 2019. "Energy-system modelling of the EU strategy towards climate-neutrality," Energy Policy, Elsevier, vol. 134(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    2. Yazdanie, M. & Orehounig, K., 2021. "Advancing urban energy system planning and modeling approaches: Gaps and solutions in perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    3. Prina, Matteo Giacomo & Manzolini, Giampaolo & Moser, David & Nastasi, Benedetto & Sparber, Wolfram, 2020. "Classification and challenges of bottom-up energy system models - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 129(C).
    4. Chang, Miguel & Lund, Henrik & Thellufsen, Jakob Zinck & Østergaard, Poul Alberg, 2023. "Perspectives on purpose-driven coupling of energy system models," Energy, Elsevier, vol. 265(C).
    5. Klemm, Christian & Vennemann, Peter, 2021. "Modeling and optimization of multi-energy systems in mixed-use districts: A review of existing methods and approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    6. Borasio, M. & Moret, S., 2022. "Deep decarbonisation of regional energy systems: A novel modelling approach and its application to the Italian energy transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    7. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Solbrekke, Ida Marie, 2018. "A review of modelling tools for energy and electricity systems with large shares of variable renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 440-459.
    8. Blanco, Herib & Leaver, Jonathan & Dodds, Paul E. & Dickinson, Robert & García-Gusano, Diego & Iribarren, Diego & Lind, Arne & Wang, Changlong & Danebergs, Janis & Baumann, Martin, 2022. "A taxonomy of models for investigating hydrogen energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    9. Md. Nasimul Islam Maruf, 2019. "Sector Coupling in the North Sea Region—A Review on the Energy System Modelling Perspective," Energies, MDPI, vol. 12(22), pages 1-35, November.
    10. Sacha Hodencq & Mathieu Brugeron & Jaume Fitó & Lou Morriet & Benoit Delinchant & Frédéric Wurtz, 2021. "OMEGAlpes, an Open-Source Optimisation Model Generation Tool to Support Energy Stakeholders at District Scale," Energies, MDPI, vol. 14(18), pages 1-30, September.
    11. Lopez, Gabriel & Aghahosseini, Arman & Child, Michael & Khalili, Siavash & Fasihi, Mahdi & Bogdanov, Dmitrii & Breyer, Christian, 2022. "Impacts of model structure, framework, and flexibility on perspectives of 100% renewable energy transition decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    12. Vaccaro, Roberto & Rocco, Matteo V., 2021. "Quantifying the impact of low carbon transition scenarios at regional level through soft-linked energy and economy models: The case of South-Tyrol Province in Italy," Energy, Elsevier, vol. 220(C).
    13. Hansen, Kenneth & Breyer, Christian & Lund, Henrik, 2019. "Status and perspectives on 100% renewable energy systems," Energy, Elsevier, vol. 175(C), pages 471-480.
    14. Fattahi, A. & Sijm, J. & Faaij, A., 2020. "A systemic approach to analyze integrated energy system modeling tools: A review of national models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    15. 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.
    16. Martínez-Gordón, R. & Morales-España, G. & Sijm, J. & Faaij, A.P.C., 2021. "A review of the role of spatial resolution in energy systems modelling: Lessons learned and applicability to the North Sea region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    17. Gils, Hans Christian & Gardian, Hedda & Kittel, Martin & Schill, Wolf-Peter & Zerrahn, Alexander & Murmann, Alexander & Launer, Jann & Fehler, Alexander & Gaumnitz, Felix & van Ouwerkerk, Jonas & Bußa, 2022. "Modeling flexibility in energy systems — comparison of power sector models based on simplified test cases," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    18. Yoro, Kelvin O. & Daramola, Michael O. & Sekoai, Patrick T. & Wilson, Uwemedimo N. & Eterigho-Ikelegbe, Orevaoghene, 2021. "Update on current approaches, challenges, and prospects of modeling and simulation in renewable and sustainable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    19. Bouw, Kathelijne & Noorman, Klaas Jan & Wiekens, Carina J. & Faaij, André, 2021. "Local energy planning in the built environment: An analysis of model characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    20. Fodstad, Marte & Crespo del Granado, Pedro & Hellemo, Lars & Knudsen, Brage Rugstad & Pisciella, Paolo & Silvast, Antti & Bordin, Chiara & Schmidt, Sarah & Straus, Julian, 2022. "Next frontiers in energy system modelling: A review on challenges and the state of the art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:290:y:2021:i:c:s0306261921002476. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.