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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.

Suggested Citation

  • 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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    1. Pietzcker, Robert Carl & Stetter, Daniel & Manger, Susanne & Luderer, Gunnar, 2014. "Using the sun to decarbonize the power sector: The economic potential of photovoltaics and concentrating solar power," Applied Energy, Elsevier, vol. 135(C), pages 704-720.
    2. Andreas Schröder & Friedrich Kunz & Jan Meiss & Roman Mendelevitch & Christian von Hirschhausen, 2013. "Current and Prospective Costs of Electricity Generation until 2050," Data Documentation 68, DIW Berlin, German Institute for Economic Research.
    3. Gunnar Luderer & Volker Krey & Katherine Calvin & James Merrick & Silvana Mima & Robert Pietzcker & Jasper Vliet & Kenichi Wada, 2014. "The role of renewable energy in climate stabilization: results from the EMF27 scenarios," Climatic Change, Springer, vol. 123(3), pages 427-441, April.
    4. Hirth, Lion & Ueckerdt, Falko & Edenhofer, Ottmar, 2015. "Integration costs revisited – An economic framework for wind and solar variability," Renewable Energy, Elsevier, vol. 74(C), pages 925-939.
    5. Gunnar Luderer & Volker Krey & Katherine Calvin & James Merrick & Silvana Mima & Robert Pietzcker & Jasper van Vliet & Kenichi Wada, 2014. "The role of renewable energy in climate stabilization: results from the EMF27 scenarios," Post-Print halshs-00961843, HAL.
    6. Ehteshami, Seyyed Mohsen Mousavi & Chan, S.H., 2014. "The role of hydrogen and fuel cells to store renewable energy in the future energy network – potentials and challenges," Energy Policy, Elsevier, vol. 73(C), pages 103-109.
    7. Steve Heinen & David Elzinga & Seul-Ki Kim & Yuichi Ikeda, 2011. "Impact of Smart Grid Technologies on Peak Load to 2050," IEA Energy Papers 2011/11, OECD Publishing.
    8. Ueckerdt, Falko & Brecha, Robert & Luderer, Gunnar, 2015. "Analyzing major challenges of wind and solar variability in power systems," Renewable Energy, Elsevier, vol. 81(C), pages 1-10.
    9. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9781107005198.
    10. Ueckerdt, Falko & Brecha, Robert & Luderer, Gunnar & Sullivan, Patrick & Schmid, Eva & Bauer, Nico & Böttger, Diana & Pietzcker, Robert, 2015. "Representing power sector variability and the integration of variable renewables in long-term energy-economy models using residual load duration curves," Energy, Elsevier, vol. 90(P2), pages 1799-1814.
    11. Volker Krey & Leon Clarke, 2011. "Role of renewable energy in climate mitigation: a synthesis of recent scenarios," Climate Policy, Taylor & Francis Journals, vol. 11(4), pages 1131-1158, July.
    12. David McCollum & Volker Krey & Peter Kolp & Yu Nagai & Keywan Riahi, 2014. "Transport electrification: A key element for energy system transformation and climate stabilization," Climatic Change, Springer, vol. 123(3), pages 651-664, April.
    13. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9780521182935.
    14. Denholm, Paul & Hand, Maureen, 2011. "Grid flexibility and storage required to achieve very high penetration of variable renewable electricity," Energy Policy, Elsevier, vol. 39(3), pages 1817-1830, March.
    15. Volker Krey, 2014. "Global energy-climate scenarios and models: a review," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 3(4), pages 363-383, July.
    16. Eurek, Kelly & Sullivan, Patrick & Gleason, Michael & Hettinger, Dylan & Heimiller, Donna & Lopez, Anthony, 2017. "An improved global wind resource estimate for integrated assessment models," Energy Economics, Elsevier, vol. 64(C), pages 552-567.
    17. Messner, Sabine & Schrattenholzer, Leo, 2000. "MESSAGE–MACRO: linking an energy supply model with a macroeconomic module and solving it iteratively," Energy, Elsevier, vol. 25(3), pages 267-282.
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    3. 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.
    4. Schwanitz, Valeria Jana, 2021. "Evaluating integrated assessment models of global climate change - From philosophical aspects to practical examples," SocArXiv 63yd8, Center for Open Science.
    5. 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.
    6. 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.
    7. 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.
    8. Matsuo, Yuhji & Endo, Seiya & Nagatomi, Yu & Shibata, Yoshiaki & Komiyama, Ryoichi & Fujii, Yasumasa, 2020. "Investigating the economics of the power sector under high penetration of variable renewable energies," Applied Energy, Elsevier, vol. 267(C).
    9. Ruggles, Tyler H. & Caldeira, Ken, 2022. "Wind and solar generation may reduce the inter-annual variability of peak residual load in certain electricity systems," Applied Energy, Elsevier, vol. 305(C).
    10. 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.
    11. 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.
    12. 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).
    13. 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.

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