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Research Article

Integration of moisture effects into urban building energy modeling

Xiaoyu Wang1,2, Pengyu Jie1,2, Ke Zhu1,2, John Grunewald3, Xiaoping Xie3, Xing Jin4, Xin Zhou4, Xing Shi1,2( )
College of Architecture and Urban Planning, Tongji University, No. 1239 Si Ping Road, Shanghai 200092, China
Key Laboratory of Ecology and Energy-saving Study of Dense Habitat, Ministry of Education, No. 1239 Si Ping Road, Shanghai 200092, China
Institute of Building Climatology, Dresden University of Technology, Dresden, 01060, Germany
School of Architecture, Southeast University, No. 2 Sipailou, Nanjing 210096, China
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Abstract

To address the limitations of current urban building energy modeling (UBEM), which often neglects moisture effects, we developed a comprehensive roadmap for modeling urban heat and moisture flows. This effort included developing an urban-scale whole-building heat and moisture transfer (HAMT) model that considers wind-driven rain, integrated with a microclimate model known as Urban Weather Generator (UWG). The proposed model was validated through analytical and comparative cases of whole-building hygrothermal performance analyses from the Annex 41 Project. The integrated whole-building and microclimate HAMT models were applied to a real urban building to assess the impact of moisture on annual energy predictions in a hot-humid region of Shanghai. The results show that incorporating moisture effects into the UBEM increases the annual cooling energy demand by 22.11% (5.92% owing to latent heat loads) and the annual heating loads by 6.06%, resulting in a 19.73% increase in the total annual energy loads. Additionally, the outer wall surface temperature decreases during and after rainfall events, with maximum decreases of 3.23 ℃ in winter and 8.80 ℃ in summer. Therefore, integrating moisture effects into UBEM is crucial, particularly in humid regions.

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Building Simulation
Pages 663-678

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Cite this article:
Wang X, Jie P, Zhu K, et al. Integration of moisture effects into urban building energy modeling. Building Simulation, 2025, 18(3): 663-678. https://doi.org/10.1007/s12273-025-1226-x

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Received: 06 September 2024
Revised: 25 November 2024
Accepted: 05 December 2024
Published: 25 January 2025
© Tsinghua University Press 2025