IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v189y2024ipas1364032123007578.html
   My bibliography  Save this article

On the design and analysis of long-term low-carbon roadmaps: A review and evaluation of available energy-economy-environment models

Author

Listed:
  • Lv, Fei
  • Wu, Qiong
  • Ren, Hongbo
  • Zhou, Weisheng
  • Li, Qifen

Abstract

To achieve the goal of carbon neutrality, society must undertake a comprehensive green transformation and build a decarbonization roadmap. Model simulation is a primary method for designing and analyzing long-term low-carbon roadmaps. This paper aims to examine the various capabilities of Energy-Economy-Environment (3E) models to gain an intuitive understanding of the current status, as well as future development directions and potential, from a low-carbon analysis perspective. By reviewing various existing 3E models considering their modeling approach, theoretical framework and spatiotemporal resolution, the 10 most representative models are selected for an in-depth analysis. According to the evaluation results of the selected models while considering five challenges for future model development, most models perform well in terms of techno-economic resolution and transparency. However, there is still potential for improvement regarding spatiotemporal resolution and the consideration of social factors. Moreover, to bridge the gap between top-down models and the real-world context, it is recommended to combine them with bottom-up models to form hybrid models. Generally, the PRIMES model demonstrates the best overall performance, although it cannot be regarded as perfect. The review and assessment results can provide references for modelers to improve 3E models and serve as a basis for users to choose the most suitable model.

Suggested Citation

  • Lv, Fei & Wu, Qiong & Ren, Hongbo & Zhou, Weisheng & Li, Qifen, 2024. "On the design and analysis of long-term low-carbon roadmaps: A review and evaluation of available energy-economy-environment models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
  • Handle: RePEc:eee:rensus:v:189:y:2024:i:pa:s1364032123007578
    DOI: 10.1016/j.rser.2023.113899
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032123007578
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2023.113899?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. 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).
    2. Pedinotti-Castelle, Marianne & Pineau, Pierre-Olivier & Vaillancourt, Kathleen & Amor, Ben, 2022. "Freight transport modal shifts in a TIMES energy model: Impacts of endogenous and exogenous modeling choice," Applied Energy, Elsevier, vol. 324(C).
    3. Timilsina, Govind R. & Pang, Jun & Xi, Yang, 2021. "Enhancing the quality of climate policy analysis in China: Linking bottom-up and top-down models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    4. Tattini, Jacopo & Ramea, Kalai & Gargiulo, Maurizio & Yang, Christopher & Mulholland, Eamonn & Yeh, Sonia & Karlsson, Kenneth, 2018. "Improving the representation of modal choice into bottom-up optimization energy system models – The MoCho-TIMES model," Applied Energy, Elsevier, vol. 212(C), pages 265-282.
    5. Russ, Peter & Criqui, Patrick, 2007. "Post-Kyoto CO2 emission reduction: The soft landing scenario analysed with POLES and other world models," Energy Policy, Elsevier, vol. 35(2), pages 786-796, February.
    6. Kostas Fragkiadakis & Panagiotis Fragkos & Leonidas Paroussos, 2020. "Low-Carbon R&D Can Boost EU Growth and Competitiveness," Energies, MDPI, vol. 13(19), pages 1-29, October.
    7. Wu, Tian & Wang, Shouyang & Wang, Lining & Tang, Xiao, 2022. "Contribution of China's online car-hailing services to its 2050 carbon target: Energy consumption assessment based on the GCAM-SE model," Energy Policy, Elsevier, vol. 160(C).
    8. Seck, Gondia S. & Hache, Emmanuel & Sabathier, Jerome & Guedes, Fernanda & Reigstad, Gunhild A. & Straus, Julian & Wolfgang, Ove & Ouassou, Jabir A. & Askeland, Magnus & Hjorth, Ida & Skjelbred, Hans , 2022. "Hydrogen and the decarbonization of the energy system in europe in 2050: A detailed model-based analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    9. Kejun Jiang & Xing Zhuang & Ren Miao & Chenmin He, 2013. "China's role in attaining the global 2°C target," Climate Policy, Taylor & Francis Journals, vol. 13(sup01), pages 55-69, March.
    10. Pettifor, Hazel & Wilson, Charlie, 2020. "Low carbon innovations for mobility, food, homes and energy: A synthesis of consumer attributes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    11. 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).
    12. Paroussos, Leonidas & Fragkos, Panagiotis & Capros, Pantelis & Fragkiadakis, Kostas, 2015. "Assessment of carbon leakage through the industry channel: The EU perspective," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 204-219.
    13. Nieto, Jaime & Carpintero, Óscar & Miguel, Luis J. & de Blas, Ignacio, 2020. "Macroeconomic modelling under energy constraints: Global low carbon transition scenarios," Energy Policy, Elsevier, vol. 137(C).
    14. Ilaria Perissi & Gianluca Martelloni & Ugo Bardi & Davide Natalini & Aled Jones & Angel Nikolaev & Lukas Eggler & Martin Baumann & Roger Samsó & Jordi Solé, 2021. "Cross-Validation of the MEDEAS Energy-Economy-Environment Model with the Integrated MARKAL-EFOM System (TIMES) and the Long-Range Energy Alternatives Planning System (LEAP)," Sustainability, MDPI, vol. 13(4), pages 1-27, February.
    15. Nieto, Jaime & Carpintero, Óscar & Lobejón, Luis Fernando & Miguel, Luis Javier, 2020. "An ecological macroeconomics model: The energy transition in the EU," Energy Policy, Elsevier, vol. 145(C).
    16. Muratori, Matteo & Jadun, Paige & Bush, Brian & Bielen, David & Vimmerstedt, Laura & Gonder, Jeff & Gearhart, Chris & Arent, Doug, 2020. "Future integrated mobility-energy systems: A modeling perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    17. Kejun Jiang & Sha Chen & Chenmin He & Jia Liu & Sun Kuo & Li Hong & Songli Zhu & Xiang Pianpian, 2019. "Energy transition, CO2 mitigation, and air pollutant emission reduction: scenario analysis from IPAC model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1277-1293, December.
    18. Oshiro, Ken & Fujimori, Shinichiro & Ochi, Yuki & Ehara, Tomoki, 2021. "Enabling energy system transition toward decarbonization in Japan through energy service demand reduction," Energy, Elsevier, vol. 227(C).
    19. Katsumasa Tanaka & Brian C. O’Neill, 2018. "The Paris Agreement zero-emissions goal is not always consistent with the 1.5 °C and 2 °C temperature targets," Nature Climate Change, Nature, vol. 8(4), pages 319-324, April.
    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).
    21. Fortes, Patrícia & Pereira, Rui & Pereira, Alfredo & Seixas, Júlia, 2014. "Integrated technological-economic modeling platform for energy and climate policy analysis," Energy, Elsevier, vol. 73(C), pages 716-730.
    22. Hartin, Corinne & Link, Robert & Patel, Pralit & Mundra, Anupriya & Horowitz, Russell & Dorheim, Kalyn & Clarke, Leon, 2021. "Integrated modeling of human-earth system interactions: An application of GCAM-fusion," Energy Economics, Elsevier, vol. 103(C).
    23. Qiu, Shuo & Lei, Tian & Wu, Jiangtao & Bi, Shengshan, 2021. "Energy demand and supply planning of China through 2060," Energy, Elsevier, vol. 234(C).
    24. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    25. Yi-Ming Wei & Rong Han & Qiao-Mei Liang & Bi-Ying Yu & Yun-Fei Yao & Mei-Mei Xue & Kun Zhang & Li-Jing Liu & Juan Peng & Pu Yang & Zhi-Fu Mi & Yun-Fei Du & Ce Wang & Jun-Jie Chang & Qian-Ru Yang & Zil, 2018. "An integrated assessment of INDCs under Shared Socioeconomic Pathways: an implementation of C3IAM," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(2), pages 585-618, June.
    26. Yap, Kah Yung & Chin, Hon Huin & Klemeš, Jiří Jaromír, 2023. "Blockchain technology for distributed generation: A review of current development, challenges and future prospect," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    27. Peter Russ & Patrick Criqui, 2007. "Post-Kyoto CO2 emission reduction : the soft landing scenario analysed with POLES and other world models," Post-Print halshs-00078489, HAL.
    28. Wang, Xiaoyang & Yu, Biying & An, Runying & Sun, Feihu & Xu, Shuo, 2022. "An integrated analysis of China’s iron and steel industry towards carbon neutrality," Applied Energy, Elsevier, vol. 322(C).
    29. Cheng, Xiu & Long, Ruyin & Wu, Fan & Geng, Jichao & Yang, Jiameng, 2023. "How social interaction shapes habitual and occasional low-carbon consumption behaviors: Evidence from ten cities in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    30. Cai, Liya & Luo, Ji & Wang, Minghui & Guo, Jianfeng & Duan, Jinglin & Li, Jingtao & Li, Shuo & Liu, Liting & Ren, Dangpei, 2023. "Pathways for municipalities to achieve carbon emission peak and carbon neutrality: A study based on the LEAP model," Energy, Elsevier, vol. 262(PB).
    31. Richard L. Revesz & Peter H. Howard & Kenneth Arrow & Lawrence H. Goulder & Robert E. Kopp & Michael A. Livermore & Michael Oppenheimer & Thomas Sterner, 2014. "Global warming: Improve economic models of climate change," Nature, Nature, vol. 508(7495), pages 173-175, April.
    32. Siskos, Pelopidas & Moysoglou, Yannis, 2019. "Assessing the impacts of setting CO2 emission targets on truck manufacturers: A model implementation and application for the EU," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 123-138.
    33. de Jong, Stefan P.L. & Wardenaar, Tjerk & Horlings, Edwin, 2016. "Exploring the promises of transdisciplinary research: A quantitative study of two climate research programmes," Research Policy, Elsevier, vol. 45(7), pages 1397-1409.
    34. Capper, Timothy & Gorbatcheva, Anna & Mustafa, Mustafa A. & Bahloul, Mohamed & Schwidtal, Jan Marc & Chitchyan, Ruzanna & Andoni, Merlinda & Robu, Valentin & Montakhabi, Mehdi & Scott, Ian J. & Franci, 2022. "Peer-to-peer, community self-consumption, and transactive energy: A systematic literature review of local energy market models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    35. Candas, Soner & Muschner, Christoph & Buchholz, Stefanie & Bramstoft, Rasmus & van Ouwerkerk, Jonas & Hainsch, Karlo & Löffler, Konstantin & Günther, Stephan & Berendes, Sarah & Nguyen, Stefanie & Jus, 2022. "Code exposed: Review of five open-source frameworks for modeling renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    36. Yang, Xiu'e & Liu, Shuli & Zou, Yuliang & Ji, Wenjie & Zhang, Qunli & Ahmed, Abdullahi & Han, Xiaojing & Shen, Yongliang & Zhang, Shaoliang, 2022. "Energy-saving potential prediction models for large-scale building: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    37. Vrontisi, Zoi & Charalampidis, Ioannis & Paroussos, Leonidas, 2020. "What are the impacts of climate policies on trade? A quantified assessment of the Paris Agreement for the G20 economies," Energy Policy, Elsevier, vol. 139(C).
    38. Stefan Pfenninger, 2017. "Energy scientists must show their workings," Nature, Nature, vol. 542(7642), pages 393-393, February.
    39. Bollinger, L.A. & Davis, C.B. & Evins, R. & Chappin, E.J.L. & Nikolic, I., 2018. "Multi-model ecologies for shaping future energy systems: Design patterns and development paths," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3441-3451.
    40. Fragkos, Panagiotis & Fragkiadakis, Kostas & Sovacool, Benjamin & Paroussos, Leonidas & Vrontisi, Zoi & Charalampidis, Ioannis, 2021. "Equity implications of climate policy: Assessing the social and distributional impacts of emission reduction targets in the European Union," Energy, Elsevier, vol. 237(C).
    41. 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.
    42. Malte Meinshausen & Nicolai Meinshausen & William Hare & Sarah C. B. Raper & Katja Frieler & Reto Knutti & David J. Frame & Myles R. Allen, 2009. "Greenhouse-gas emission targets for limiting global warming to 2 °C," Nature, Nature, vol. 458(7242), pages 1158-1162, April.
    43. Chen, Jing-Ming & Yu, Biying & Wei, Yi-Ming, 2018. "Energy technology roadmap for ethylene industry in China," Applied Energy, Elsevier, vol. 224(C), pages 160-174.
    44. Prina, Matteo Giacomo & Nastasi, Benedetto & Groppi, Daniele & Misconel, Steffi & Garcia, Davide Astiaso & Sparber, Wolfram, 2022. "Comparison methods of energy system frameworks, models and scenario results," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    45. Jia, Zhijie & Lin, Boqiang, 2022. "CEEEA2.0 model: A dynamic CGE model for energy-environment-economy analysis with available data and code," Energy Economics, Elsevier, vol. 112(C).
    46. Wang, Hailin & Ou, Xunmin & Zhang, Xiliang, 2017. "Mode, technology, energy consumption, and resulting CO2 emissions in China's transport sector up to 2050," Energy Policy, Elsevier, vol. 109(C), pages 719-733.
    47. Silvana Mima & Patrick Criqui, 2015. "The Costs of Climate Change for the European Energy System, an Assessment with the POLES Model," Post-Print hal-01149610, HAL.
    48. Panagiotis Fragkos & Kostas Fragkiadakis & Leonidas Paroussos, 2021. "Reducing the Decarbonisation Cost Burden for EU Energy-Intensive Industries," Energies, MDPI, vol. 14(1), pages 1-23, January.
    49. Zhang, Hailing & Liu, Changxin & Wang, Can, 2021. "Extreme climate events and economic impacts in China: A CGE analysis with a new damage function in IAM," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    50. 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).
    51. Felder, F.A. & Kumar, P., 2021. "A review of existing deep decarbonization models and their potential in policymaking," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    52. Maria Kannavou & Marilena Zampara & Pantelis Capros, 2019. "Modelling the EU Internal Electricity Market: The PRIMES-IEM Model," Energies, MDPI, vol. 12(15), pages 1-28, July.
    53. Tang, Bao-Jun & Li, Xiao-Yi & Yu, Biying & Wei, Yi-Ming, 2019. "Sustainable development pathway for intercity passenger transport: A case study of China," Applied Energy, Elsevier, vol. 254(C).
    54. Plazas-Niño, F.A. & Ortiz-Pimiento, N.R. & Montes-Páez, E.G., 2022. "National energy system optimization modelling for decarbonization pathways analysis: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chen, Lu & Li, Xin & Liu, Wei & Kang, Xinyu & Zhao, Yifei & Wang, Minxi, 2024. "System dynamics-multiple the objective optimization model for the coordinated development of urban economy-energy-carbon system," Applied Energy, Elsevier, vol. 371(C).
    2. Pastore, Lorenzo Mario & Groppi, Daniele & Feijoo, Felipe & Lo Basso, Gianluigi & Astiaso Garcia, Davide & de Santoli, Livio, 2024. "Optimal decarbonisation pathways for the Italian energy system: Modelling a long-term energy transition to achieve zero emission by 2050," Applied Energy, Elsevier, vol. 367(C).

    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. Misconel, S. & Zimmermann, F. & Mikurda, J. & Möst, D. & Kunze, R. & Gnann, T. & Kühnbach, M. & Speth, D. & Pelka, S. & Yu, S., 2024. "Model coupling and comparison on optimal load shifting of battery electric vehicles and heat pumps focusing on generation adequacy," Energy, Elsevier, vol. 305(C).
    2. Zaiter, Issa & Ramadan, Mohamad & Bouabid, Ali & Mayyas, Ahmad & El-Fadel, Mutasem & Mezher, Toufic, 2024. "Enabling industrial decarbonization: Framework for hydrogen integration in the industrial energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
    3. Li, Xi & Yu, Biying, 2019. "Peaking CO2 emissions for China's urban passenger transport sector," Energy Policy, Elsevier, vol. 133(C).
    4. Patrick Criqui & Constantin Ilasca & Emmanuel Prados, 2014. "National Soft Landing CO2 trajectories under global carbon budgets," Working Papers halshs-00980101, HAL.
    5. 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).
    6. Tang, Bao-Jun & Li, Xiao-Yi & Yu, Biying & Wei, Yi-Ming, 2019. "Sustainable development pathway for intercity passenger transport: A case study of China," Applied Energy, Elsevier, vol. 254(C).
    7. Haugen, Mari & Blaisdell-Pijuan, Paris L. & Botterud, Audun & Levin, Todd & Zhou, Zhi & Belsnes, Michael & Korpås, Magnus & Somani, Abhishek, 2024. "Power market models for the clean energy transition: State of the art and future research needs," Applied Energy, Elsevier, vol. 357(C).
    8. 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.
    9. 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).
    10. 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).
    11. Miao, Ankang & Yuan, Yue & Wu, Han & Ma, Xin & Shao, Chenyu & Xiang, Sheng, 2024. "Pathway for China's provincial carbon emission peak: A case study of the Jiangsu Province," Energy, Elsevier, vol. 298(C).
    12. 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.
    13. Ilaria Perissi & Gianluca Martelloni & Ugo Bardi & Davide Natalini & Aled Jones & Angel Nikolaev & Lukas Eggler & Martin Baumann & Roger Samsó & Jordi Solé, 2021. "Cross-Validation of the MEDEAS Energy-Economy-Environment Model with the Integrated MARKAL-EFOM System (TIMES) and the Long-Range Energy Alternatives Planning System (LEAP)," Sustainability, MDPI, vol. 13(4), pages 1-27, February.
    14. Luh, Sandro & Kannan, Ramachandran & McKenna, Russell & Schmidt, Thomas J. & Kober, Tom, 2024. "Quantifying the impact of travel time duration and valuation on modal shift in Swiss passenger transportation," Applied Energy, Elsevier, vol. 356(C).
    15. Tronchin, Lamberto & Manfren, Massimiliano & Nastasi, Benedetto, 2018. "Energy efficiency, demand side management and energy storage technologies – A critical analysis of possible paths of integration in the built environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 341-353.
    16. Süsser, Diana & Gaschnig, Hannes & Ceglarz, Andrzej & Stavrakas, Vassilis & Flamos, Alexandros & Lilliestam, Johan, 2022. "Better suited or just more complex? On the fit between user needs and modeller-driven improvements of energy system models," Energy, Elsevier, vol. 239(PB).
    17. Yu, Biying & Tan, Jin-Xiao & Zhang, Shitong, 2024. "Uncertainties in the technological pathway towards low-carbon freight transport under carbon neutral target in China," Applied Energy, Elsevier, vol. 365(C).
    18. Sander Claeys & Marta Vanin & Frederik Geth & Geert Deconinck, 2021. "Applications of optimization models for electricity distribution networks," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 10(5), September.
    19. 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).
    20. Alimou, Yacine & Maïzi, Nadia & Bourmaud, Jean-Yves & Li, Marion, 2020. "Assessing the security of electricity supply through multi-scale modeling: The TIMES-ANTARES linking approach," Applied Energy, Elsevier, vol. 279(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:rensus:v:189:y:2024:i:pa:s1364032123007578. 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/600126/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.