IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v212y2025ics1364032124009390.html
   My bibliography  Save this article

A review of future weather data for assessing climate change impacts on buildings and energy systems

Author

Listed:
  • Zeng, Zhaoyun
  • Kim, Ji-Hyun (Jeannie)
  • Tan, Haochen
  • Hu, Yuqing
  • Cameron-Rastogi, Parag
  • Villa, Daniel
  • New, Joshua
  • Wang, Jiali
  • Muehleisen, Ralph T.

Abstract

The effectiveness of climate change impact assessments and the development of adaptation strategies depend on the availability of high-quality future weather data. However, significant gaps exist between the needs of the energy research community and the focus of the climate modeling community, primarily due to a historical lack of communication and collaboration between the two groups. To address this issue, this work provides a comprehensive overview of the critical aspects involved in creating future weather data for building and energy system modeling, including emissions scenarios, general circulation models, downscaling methods, categories of future weather data, and uncertainties in climate simulations. Moreover, it critically evaluates the applicability and suitability of various types of future weather data in five key application scenarios: energy use analysis, resilience analysis, HVAC design, utility-scale analysis, and renewable energy analysis. Finally, this work presents recommendations for high-level actions and research directions to foster collaboration between the energy research and climate modeling communities and to promote the integration of future weather data into energy codes and the design practices of buildings and energy systems.

Suggested Citation

  • Zeng, Zhaoyun & Kim, Ji-Hyun (Jeannie) & Tan, Haochen & Hu, Yuqing & Cameron-Rastogi, Parag & Villa, Daniel & New, Joshua & Wang, Jiali & Muehleisen, Ralph T., 2025. "A review of future weather data for assessing climate change impacts on buildings and energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 212(C).
  • Handle: RePEc:eee:rensus:v:212:y:2025:i:c:s1364032124009390
    DOI: 10.1016/j.rser.2024.115213
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032124009390
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2024.115213?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. Xueyan Yang & Liping Liu & Rui Li, 2023. "How marital events explain the suicide rate among Chinese," PLOS ONE, Public Library of Science, vol. 18(10), pages 1-16, October.
    2. Jackie Li & Jia Liu, 2023. "Claims Modelling with Three-Component Composite Models," Risks, MDPI, vol. 11(11), pages 1-16, November.
    3. Ha, Jongrim & Kose, M. Ayhan & Ohnsorge, Franziska & Yilmazkuday, Hakan, 2023. "What Explains Global Inflation," CEPR Discussion Papers 18690, C.E.P.R. Discussion Papers.
    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. Zeng, Zhaoyun & Kim, Ji-Hyun (Jeannie) & Muehleisen, Ralph T., 2025. "An update to the Sandia method for creating Typical Meteorological Years from a limited pool of calendar years," Energy, Elsevier, vol. 320(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.

      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:rensus:v:212:y:2025:i:c:s1364032124009390. 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.