IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v340y2025ics0360544225046213.html

Quantifying the impacts of weather year selection on power sector capacity expansion models

Author

Listed:
  • Pecora, Braden
  • Rhodes, Joshua D.
  • Webber, Michael E.

Abstract

Capacity expansion models (CEMs) guide long-term electricity grid investments but often rely on load and renewable generation profiles from a single historical year, known as the base weather year. Because weather affects power plant performance and drives electricity demand through the built environment’s thermal loads, renewable generation and load profiles are usually selected from the same weather year. Modelers then scale that year’s profiles to estimate future demand. However, because of the year-to-year variability in supply and demand, projections based on a single year could yield ambiguous insights, which raises the question of the importance of weather year selection.

Suggested Citation

  • Pecora, Braden & Rhodes, Joshua D. & Webber, Michael E., 2025. "Quantifying the impacts of weather year selection on power sector capacity expansion models," Energy, Elsevier, vol. 340(C).
  • Handle: RePEc:eee:energy:v:340:y:2025:i:c:s0360544225046213
    DOI: 10.1016/j.energy.2025.138979
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225046213
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.138979?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

    for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Kassel, Drew A. & Rhodes, Joshua D. & Webber, Michael E., 2025. "A method to analyze the costs and emissions tradeoffs of connecting ERCOT to WECC," Applied Energy, Elsevier, vol. 378(PA).
    3. Wiese, Frauke & Schlecht, Ingmar & Bunke, Wolf-Dieter & Gerbaulet, Clemens & Hirth, Lion & Jahn, Martin & Kunz, Friedrich & Lorenz, Casimir & Mühlenpfordt, Jonathan & Reimann, Juliane & Schill, Wolf-P, 2019. "Open Power System Data – Frictionless data for electricity system modelling," Applied Energy, Elsevier, vol. 236(C), pages 401-409.
    4. Pfenninger, Stefan & Staffell, Iain, 2016. "Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data," Energy, Elsevier, vol. 114(C), pages 1251-1265.
    5. Hong, Tianzhen & Chang, Wen-Kuei & Lin, Hung-Wen, 2013. "A fresh look at weather impact on peak electricity demand and energy use of buildings using 30-year actual weather data," Applied Energy, Elsevier, vol. 111(C), pages 333-350.
    6. Grochowicz, Aleksander & van Greevenbroek, Koen & Benth, Fred Espen & Zeyringer, Marianne, 2023. "Intersecting near-optimal spaces: European power systems with more resilience to weather variability," Energy Economics, Elsevier, vol. 118(C).
    7. Hoevenaars, Eric J. & Crawford, Curran A., 2012. "Implications of temporal resolution for modeling renewables-based power systems," Renewable Energy, Elsevier, vol. 41(C), pages 285-293.
    8. Staffell, Iain & Pfenninger, Stefan, 2018. "The increasing impact of weather on electricity supply and demand," Energy, Elsevier, vol. 145(C), pages 65-78.
    9. 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.
    10. Wieser, Eric & Clarno, Kevin & Haas, Derek & Webber, Michael E., 2025. "The economics of small modular reactors at coal sites: A program-level analysis within the state of Texas," Energy Policy, Elsevier, vol. 202(C).
    11. Ebbe Kyhl Gøtske & Gorm Bruun Andresen & Fabian Neumann & Marta Victoria, 2024. "Designing a sector-coupled European energy system robust to 60 years of historical weather data," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    12. Marianne Zeyringer & James Price & Birgit Fais & Pei-Hao Li & Ed Sharp, 2018. "Designing low-carbon power systems for Great Britain in 2050 that are robust to the spatiotemporal and inter-annual variability of weather," Nature Energy, Nature, vol. 3(5), pages 395-403, May.
    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. Martin Kittel & Alexander Roth & Wolf-Peter Schill, 2024. "Coping with the Dunkelflaute: Power system implications of variable renewable energy droughts in Europe," Papers 2411.17683, arXiv.org, revised Nov 2025.
    2. Grochowicz, Aleksander & van Greevenbroek, Koen & Benth, Fred Espen & Zeyringer, Marianne, 2023. "Intersecting near-optimal spaces: European power systems with more resilience to weather variability," Energy Economics, Elsevier, vol. 118(C).
    3. Hilbers, Adriaan P. & Brayshaw, David J. & Gandy, Axel, 2023. "Reducing climate risk in energy system planning: A posteriori time series aggregation for models with storage," Applied Energy, Elsevier, vol. 334(C).
    4. Grochowicz, Aleksander & Benth, Fred Espen & Zeyringer, Marianne, 2024. "Spatio-temporal smoothing and dynamics of different electricity flexibility options for highly renewable energy systems—Case study for Norway," Applied Energy, Elsevier, vol. 356(C).
    5. Göke, Leonard & Schmidt, Felix & Kendziorski, Mario, 2024. "Stabilized Benders decomposition for energy planning under climate uncertainty," European Journal of Operational Research, Elsevier, vol. 316(1), pages 183-199.
    6. de Guibert, Paul & Shirizadeh, Behrang & Quirion, Philippe, 2020. "Variable time-step: A method for improving computational tractability for energy system models with long-term storage," Energy, Elsevier, vol. 213(C).
    7. Shirizadeh, Behrang & Quirion, Philippe, 2022. "The importance of renewable gas in achieving carbon-neutrality: Insights from an energy system optimization model," Energy, Elsevier, vol. 255(C).
    8. Zech, Matthias & von Bremen, Lueder, 2024. "End-to-end learning of representative PV capacity factors from aggregated PV feed-ins," Applied Energy, Elsevier, vol. 361(C).
    9. Coker, Phil J. & Bloomfield, Hannah C. & Drew, Daniel R. & Brayshaw, David J., 2020. "Interannual weather variability and the challenges for Great Britain’s electricity market design," Renewable Energy, Elsevier, vol. 150(C), pages 509-522.
    10. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Seljom, Pernille & Lind, Arne & Wagner, Fabian & Mesfun, Sennai, 2020. "Short-term solar and wind variability in long-term energy system models - A European case study," Energy, Elsevier, vol. 209(C).
    11. Ramirez Camargo, Luis & Valdes, Javier & Masip Macia, Yunesky & Dorner, Wolfgang, 2019. "Assessment of on-site steady electricity generation from hybrid renewable energy systems in Chile," Applied Energy, Elsevier, vol. 250(C), pages 1548-1558.
    12. 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.
    13. Zheng, Yifei & Zhang, Juntao & Cheng, Chuntian & Cao, Hui & Yang, Yuqi, 2025. "Capacity configuration of hydropower-PV complementary station that is robust to the inter-annual variability in streamflow and PV energy," Renewable Energy, Elsevier, vol. 248(C).
    14. Jimenez, I. Sanchez & Ribó-Pérez, D. & Cvetkovic, M. & Kochems, J. & Schimeczek, C. & de Vries, L.J., 2024. "Can an energy only market enable resource adequacy in a decarbonized power system? A co-simulation with two agent-based-models," Applied Energy, Elsevier, vol. 360(C).
    15. Ebbe Kyhl Gøtske & Gorm Bruun Andresen & Fabian Neumann & Marta Victoria, 2024. "Designing a sector-coupled European energy system robust to 60 years of historical weather data," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    16. Drücke, Jaqueline & Borsche, Michael & James, Paul & Kaspar, Frank & Pfeifroth, Uwe & Ahrens, Bodo & Trentmann, Jörg, 2021. "Climatological analysis of solar and wind energy in Germany using the Grosswetterlagen classification," Renewable Energy, Elsevier, vol. 164(C), pages 1254-1266.
    17. Rubino, Giacomo & Killenberger, Collin & Sasse, Jan-Philipp & Wang, Zongfei & Wen, Xin & Zielonka, Nik & Trutnevyte, Evelina, 2025. "Spatial strategies for siting variable renewable energy sources to ensure weather resilience in Switzerland," Renewable Energy, Elsevier, vol. 249(C).
    18. Gonzato, Sebastian & Bruninx, Kenneth & Delarue, Erik, 2021. "Long term storage in generation expansion planning models with a reduced temporal scope," Applied Energy, Elsevier, vol. 298(C).
    19. Bowen Li & Sukanta Basu & Simon J. Watson & Herman W. J. Russchenberg, 2021. "A Brief Climatology of Dunkelflaute Events over and Surrounding the North and Baltic Sea Areas," Energies, MDPI, vol. 14(20), pages 1-14, October.
    20. Eggimann, Sven & Usher, Will & Eyre, Nick & Hall, Jim W., 2020. "How weather affects energy demand variability in the transition towards sustainable heating," Energy, Elsevier, vol. 195(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:energy:v:340:y:2025:i:c:s0360544225046213. 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.journals.elsevier.com/energy .

    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.