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A reduced-form approach for representing the impacts of wind and solar PV deployment on the structure and operation of the electricity system

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  • Johnson, Nils
  • Strubegger, Manfred
  • McPherson, Madeleine
  • Parkinson, Simon C.
  • Krey, Volker
  • Sullivan, Patrick

Abstract

In many climate change mitigation scenarios, integrated assessment models of the energy and climate systems rely heavily on renewable energy technologies with variable and uncertain generation, such as wind and solar PV, to achieve substantial decarbonization of the electricity sector. However, these models often include very little temporal resolution and thus have difficulty in representing the integration costs that arise from mismatches between electricity supply and demand. The global integrated assessment model, MESSAGE, has been updated to explicitly model the trade-offs between variable renewable energy (VRE) deployment and its impacts on the electricity system, including the implications for electricity curtailment, backup capacity, and system flexibility. These impacts have been parameterized using a reduced-form approach, which allows VRE integration impacts to be quantified on a regional basis. In addition, thermoelectric technologies were updated to include two modes of operation, baseload and flexible, to better account for the cost, efficiency, and availability penalties associated with flexible operation. In this paper, the modeling approach used in MESSAGE is explained and the implications for VRE deployment in mitigation scenarios are assessed. Three important stylized facts associated with integrating high VRE shares are successfully reproduced by our modeling approach: (1) the significant reduction in the utilization of non-VRE power plants; (2) the diminishing role for traditional baseload generators, such as nuclear and coal, and the transition to more flexible technologies; and (3) the importance of electricity storage and hydrogen electrolysis in facilitating the deployment of VRE.

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  • Johnson, Nils & Strubegger, Manfred & McPherson, Madeleine & Parkinson, Simon C. & Krey, Volker & Sullivan, Patrick, 2017. "A reduced-form approach for representing the impacts of wind and solar PV deployment on the structure and operation of the electricity system," Energy Economics, Elsevier, vol. 64(C), pages 651-664.
  • Handle: RePEc:eee:eneeco:v:64:y:2017:i:c:p:651-664
    DOI: 10.1016/j.eneco.2016.07.010
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    3. Derek Lemoine, 2024. "Innovation-Led Transitions in Energy Supply," American Economic Journal: Macroeconomics, American Economic Association, vol. 16(1), pages 29-65, January.
    4. Pietzcker, Robert C. & Ueckerdt, Falko & Carrara, Samuel & de Boer, Harmen Sytze & Després, Jacques & Fujimori, Shinichiro & Johnson, Nils & Kitous, Alban & Scholz, Yvonne & Sullivan, Patrick & Ludere, 2017. "System integration of wind and solar power in integrated assessment models: A cross-model evaluation of new approaches," Energy Economics, Elsevier, vol. 64(C), pages 583-599.
    5. Schwanitz, Valeria Jana, 2021. "Evaluating integrated assessment models of global climate change - From philosophical aspects to practical examples," SocArXiv 63yd8, Center for Open Science.
    6. McPherson, Madeleine & Johnson, Nils & Strubegger, Manfred, 2018. "The role of electricity storage and hydrogen technologies in enabling global low-carbon energy transitions," Applied Energy, Elsevier, vol. 216(C), pages 649-661.
    7. Luderer, Gunnar & Pietzcker, Robert C. & Carrara, Samuel & de Boer, Harmen Sytze & Fujimori, Shinichiro & Johnson, Nils & Mima, Silvana & Arent, Douglas, 2017. "Assessment of wind and solar power in global low-carbon energy scenarios: An introduction," Energy Economics, Elsevier, vol. 64(C), pages 542-551.
    8. Chen, Huayi & Zhou, P., 2019. "Modeling systematic technology adoption: Can one calibrated representative agent represent heterogeneous agents?," Omega, Elsevier, vol. 89(C), pages 257-270.
    9. Gurgel, Angelo & Mignone, Bryan K. & Morris, Jennifer & Kheshgi, Haroon & Mowers, Matthew & Steinberg, Daniel & Herzog, Howard & Paltsev, Sergey, 2023. "Variable renewable energy deployment in low-emission scenarios: The role of technology cost and value," Applied Energy, Elsevier, vol. 344(C).
    10. Arnulf Grubler & Charlie Wilson & Nuno Bento & Benigna Boza-Kiss & Volker Krey & David L. McCollum & Narasimha D. Rao & Keywan Riahi & Joeri Rogelj & Simon Stercke & Jonathan Cullen & Stefan Frank & O, 2018. "A low energy demand scenario for meeting the 1.5 °C target and sustainable development goals without negative emission technologies," Nature Energy, Nature, vol. 3(6), pages 515-527, June.
    11. Zhang, Qian & Qi, Jingwen & Zhen, Lu, 2023. "Optimization of integrated energy system considering multi-energy collaboration in carbon-free hydrogen port," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    12. Matsuo, Yuhji & Endo, Seiya & Nagatomi, Yu & Shibata, Yoshiaki & Komiyama, Ryoichi & Fujii, Yasumasa, 2018. "A quantitative analysis of Japan's optimal power generation mix in 2050 and the role of CO2-free hydrogen," Energy, Elsevier, vol. 165(PB), pages 1200-1219.
    13. Minwoo Hyun & Aleh Cherp & Jessica Jewell & Yeong Jae Kim & Jiyong Eom, 2021. "Feasibility trade-offs in decarbonisation of power sector with high coal dependence: A case of Korea," Papers 2111.02872, arXiv.org.
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