Challenges in predicting the impact of climate change on thermal building performance through simulation: A systematic review

Duan, Zhuocheng; de Wilde, Pieter; Attia, Shady; Zuo, Jian

doi:10.1016/j.apenergy.2025.125331

Article (Scientific journals)

Challenges in predicting the impact of climate change on thermal building performance through simulation: A systematic review

Duan, Zhuocheng; de Wilde, Pieter; Attia, Shady et al.

2025 • In Applied Energy, 382 (125331)

Peer Reviewed verified by ORBi

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https://hdl.handle.net/2268/326698

DOI
10.1016/j.apenergy.2025.125331

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Keywords :

Global warming; Heating and cooling energy demand; Energy saving; Energy consumption; Greenhouse gas (GHG)/carbon emissions; Future weather files; Downscaling methods

Abstract :

[en] The intricate relationship between climate change and the building sector is characterized by a self-reinforcing loop. Rising temperatures driven by global warming will inevitably impact heating and cooling energy, while buildings simultaneously contribute significantly to carbon emissions throughout their lifecycle, further exacerbating climate change. However, current knowledge regarding the interaction between climate change and the building sector remains fragmented, often limited to specific regions, climate zones, and mitigation strategies, lacking a holistic view. This systematic review analyzes 212 peer-reviewed articles to examine current approaches, challenges, and future directions in predicting building thermal performance under climate change. The analysis covers key aspects, including climate data, methods/tools for future weather file generation, computational methods and performance metrics. The reliance on outdated climate scenarios and models un dermines the accuracy and applicability of predictions. Despite a general rise in cooling and decline in heating, considerable variances occur among geographies, climate data, and carbon emissions. This review highlights several important gaps, including 1) inconsistencies in geographical disparities and data quality; 2) challenges in scaling from individual buildings to district-level predictions; 3) the need for more advanced control and modeling capabilities in simulation; and 4) insufficient consideration of robust, resilient design strategies to address uncertainties posed by climate change, localized microclimate, and extremes. In addition, significant methodological inconsistencies across studies hinder reliable comparisons and potentially undermine prediction accuracy. The review proposes the development of a standardized protocol to guide researchers while preserving context-specific investigations. This aims to incorporate updated climate scenarios, high-resolution data, and robust modeling techniques to enhance prediction accuracy under a changing climate. Breaking this vicious cycle requires an integrated approach combining building science, climate science, and urban planning.

Disciplines :

Architecture

Author, co-author :

Duan, Zhuocheng

de Wilde, Pieter

Attia, Shady ; Université de Liège - ULiège > Département ArGEnCo > Techniques de construction des bâtiments

Zuo, Jian

Language :

English

Title :

Challenges in predicting the impact of climate change on thermal building performance through simulation: A systematic review

Publication date :

15 March 2025

Journal title :

Applied Energy

ISSN :

0306-2619

eISSN :

1872-9118

Publisher :

Elsevier, London, United Kingdom

Volume :

382

Issue :

125331

Peer reviewed :

Peer Reviewed verified by ORBi

Development Goals :

11. Sustainable cities and communities

Additional URL :

https://www.sciencedirect.com/science/article/pii/S0306261925000613

Available on ORBi :

since 13 January 2025

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