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How Does Climate Change Affect Optimal Allocation of Variable Renewable Energy?

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  • Peter, Jakob

    (Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI))

Abstract

Ongoing climate change affects complex and long-lived infrastructures like electricity systems. Particularly for decarbonized electricity systems based on variable renewable energies, there is a variety of impact mechanisms working differently in size and direction. Main impacts for Europe include changes in wind and solar resources, hydro power, cooling water availability for thermoelectric generation and electricity demand. Hence, it is not only important to understand the total effects, i.e., how much welfare may be gained when accounting for climate change impacts in all dimensions, but also to disentangle various effects in terms of their marginal contribution to the potential welfare loss. This paper applies a two-stage modeling framework to assess RCP8.5 climate change impacts on the European electricity system. Thereby, the performance of two electricity system design strategies – one based on no anticipation of climate change and one anticipating impacts of climate change – is studied under a variety of climate change impacts. Impacts on wind and solar resources are found to cause the largest system effects in 2100. Combined climate change impacts increase system costs of a system designed without climate change anticipation due to increased fuel and carbon permit costs. Applying a system design strategy with climate change anticipation increases the cost-optimal share of variable renewable energy based on additional wind offshore capacity in 2100, at a reduction in nuclear, wind onshore and solar PV capacity. Compared to a no anticipation strategy, total system costs are reduced.

Suggested Citation

  • Peter, Jakob, 2019. "How Does Climate Change Affect Optimal Allocation of Variable Renewable Energy?," EWI Working Papers 2019-3, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
  • Handle: RePEc:ris:ewikln:2019_003
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    Cited by:

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    2. Russell McKenna & Stefan Pfenninger & Heidi Heinrichs & Johannes Schmidt & Iain Staffell & Katharina Gruber & Andrea N. Hahmann & Malte Jansen & Michael Klingler & Natascha Landwehr & Xiaoli Guo Lars', 2021. "Reviewing methods and assumptions for high-resolution large-scale onshore wind energy potential assessments," Papers 2103.09781, arXiv.org.
    3. Yang, Zhikai & Liu, Pan & Cheng, Lei & Liu, Deli & Ming, Bo & Li, He & Xia, Qian, 2021. "Sizing utility-scale photovoltaic power generation for integration into a hydropower plant considering the effects of climate change: A case study in the Longyangxia of China," Energy, Elsevier, vol. 236(C).
    4. Cohen, Stuart M. & Dyreson, Ana & Turner, Sean & Tidwell, Vince & Voisin, Nathalie & Miara, Ariel, 2022. "A multi-model framework for assessing long- and short-term climate influences on the electric grid," Applied Energy, Elsevier, vol. 317(C).
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    7. Lukas Schmidt & Jonas Zinke, 2023. "One Price Fits All? On Inefficient Siting Incentives for Wind Power Expansion in Germany under Uniform Pricing," The Energy Journal, , vol. 44(4), pages 21-52, July.
    8. Schmidt, Lukas & Zinke, Jonas, 2020. "One price fits all? Wind power expansion under uniform and nodal pricing in Germany," EWI Working Papers 2020-6, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    9. Li, He & Liu, Pan & Guo, Shenglian & Cheng, Lei & Huang, Kangdi & Feng, Maoyuan & He, Shaokun & Ming, Bo, 2021. "Deriving adaptive long-term complementary operating rules for a large-scale hydro-photovoltaic hybrid power plant using ensemble Kalman filter," Applied Energy, Elsevier, vol. 301(C).
    10. Marcin Bukowski & Janusz Majewski & Agnieszka Sobolewska, 2020. "Macroeconomic Electric Energy Production Efficiency of Photovoltaic Panels in Single-Family Homes in Poland," Energies, MDPI, vol. 14(1), pages 1-21, December.
    11. McKenna, Russell & Pfenninger, Stefan & Heinrichs, Heidi & Schmidt, Johannes & Staffell, Iain & Bauer, Christian & Gruber, Katharina & Hahmann, Andrea N. & Jansen, Malte & Klingler, Michael & Landwehr, 2022. "High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs," Renewable Energy, Elsevier, vol. 182(C), pages 659-684.
    12. Plaga, Leonie Sara & Bertsch, Valentin, 2023. "Methods for assessing climate uncertainty in energy system models — A systematic literature review," Applied Energy, Elsevier, vol. 331(C).
    13. Ye, Bin & Jiang, Jingjing & Liu, Junguo & Zheng, Yi & Zhou, Nan, 2021. "Research on quantitative assessment of climate change risk at an urban scale: Review of recent progress and outlook of future direction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    14. Shabazbegian, Vahid & Ameli, Hossein & Ameli, Mohammad Taghi & Strbac, Goran & Qadrdan, Meysam, 2021. "Co-optimization of resilient gas and electricity networks; a novel possibilistic chance-constrained programming approach," Applied Energy, Elsevier, vol. 284(C).
    15. Fortes, Patrícia & Simoes, Sofia G. & Amorim, Filipa & Siggini, Gildas & Sessa, Valentina & Saint-Drenan, Yves-Marie & Carvalho, Sílvia & Mujtaba, Babar & Diogo, Paulo & Assoumou, Edi, 2022. "How sensitive is a carbon-neutral power sector to climate change? The interplay between hydro, solar and wind for Portugal," Energy, Elsevier, vol. 239(PB).
    16. Laha, Priyanka & Chakraborty, Basab, 2021. "Low carbon electricity system for India in 2030 based on multi-objective multi-criteria assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    17. Figueiredo, Raquel & Nunes, Pedro & Brito, Miguel C., 2021. "The resilience of a decarbonized power system to climate variability: Portuguese case study," Energy, Elsevier, vol. 224(C).
    18. Gong, J.W. & Li, Y.P. & Lv, J. & Huang, G.H. & Suo, C. & Gao, P.P., 2022. "Development of an integrated bi-level model for China’s multi-regional energy system planning under uncertainty," Applied Energy, Elsevier, vol. 308(C).
    19. Gaylord Carrillo Caballero & Yulineth Cardenas Escorcia & Luis Sebastián Mendoza Castellanos & Ana Lisbeth Galindo Noguera & Osvaldo José Venturini & Electo Eduardo Silva Lora & Elkin I. Gutiérrez Vel, 2022. "Thermal Analysis of a Parabolic Trough Collectors System Coupled to an Organic Rankine Cycle and a Two-Tank Thermal Storage System: Case Study of Itajubá-MG Brazil," Energies, MDPI, vol. 15(21), pages 1-21, November.
    20. António Couto & Ana Estanqueiro, 2020. "Exploring Wind and Solar PV Generation Complementarity to Meet Electricity Demand," Energies, MDPI, vol. 13(16), pages 1-21, August.

    More about this item

    Keywords

    Climate Change; Variable renewable energy; Power system modeling;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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