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

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

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations

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.

Original languageEnglish
Article number115213
JournalRenewable and Sustainable Energy Reviews
Volume212
DOIs
StatePublished - Apr 2025

Funding

This work was supported by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy (EERE) - Building Technologies Office (BTO), under contract DE-AC02-06CH11357.

Keywords

  • Climate change
  • Extreme weather event
  • Impact assessment
  • Renewable energy
  • Resilience
  • Typical meteorological year

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