Integration of moisture effects into urban building energy modeling

Ang Y, Berzolla ZM, Reinhart CF (2020). From concept to application: A review of use cases in urban building energy modeling. Applied Energy, 279: 115738. 10.1016/j.apenergy.2020.115738

[2]

The urban weather generator

Bruno Bueno, Leslie Norford, Julia Hidalgo et al.

Journal of Building Performance Simulation 2013 10.1080/19401493.2012.718797

[3]

Bueno B (2010). An urban weather generator coupling a building simulation program with an urban canopy model. Master Thesis, Massachusetts Institute of Technology, USA.

[4]

Busser T, Pailha M, Piot A, et al. (2019). Simultaneous hygrothermal performance assessment of an air volume and surrounding highly hygroscopic walls. Building and Environment, 148: 677–688. 10.1016/j.buildenv.2018.11.031

[5]

Conigliaro E, Monti P, Leuzzi G, et al. (2021). A three-dimensional urban canopy model for mesoscale atmospheric simulations and its comparison with a two-dimensional urban canopy model in an idealized case. Urban Climate, 37: 100831. 10.1016/j.uclim.2021.100831

[6]

AutoBPS: A tool for urban building energy modeling to support energy efficiency improvement at city-scale

Zhang Deng, Yixing Chen, Jingjing Yang et al.

Energy and Buildings 2023 10.1016/j.enbuild.2023.112794

[7]

Fabiani C, Pisello AL, Bou-Zeid E, et al. (2019). Adaptive measures for mitigating urban heat islands: The potential of thermochromic materials to control roofing energy balance. Applied Energy, 247: 155–170. 10.1016/j.apenergy.2019.04.020

[8]

City Energy Analyst (CEA): Integrated framework for analysis and optimization of building energy systems in neighborhoods and city districts

Jimeno A. Fonseca, Thuy-An Nguyen, Arno Schlueter et al.

Energy and Buildings 2016 10.1016/j.enbuild.2015.11.055

[9]

Hong T, Chen Y, Sang H L, et al. (2016). CityBES: A web-based platform to support city-scale building energy efficiency. In: Proceedings of International Urban Computing Workshop.

[10]

Ten questions on urban building energy modeling

Tianzhen Hong, Yixing Chen, Xuan Luo et al.

Building and Environment 2020 10.1016/j.buildenv.2019.106508

[11]

Hong T, Ferrando M, Luo X, et al. (2020b). Modeling and analysis of heat emissions from buildings to ambient air. Applied Energy, 277: 115566. 10.1016/j.apenergy.2020.115566

[12]

Hu X, Zhang H, Yu H (2024). Numerical simulation study on the hygrothermal performance of building exterior walls under dynamic wind-driven rain condition. Building Simulation, 17: 207–221. 10.1007/s12273-023-1076-3

[13]

IEA (2022). Buildings, IEA, Paris. Available at https://www.iea.org/reports/buildings.

[14]

Katal A, Mortezazadeh M, Wang L (2019). Modeling building resilience against extreme weather by integrated CityFFD and CityBEM simulations. Applied Energy, 250: 1402–1417. 10.1016/j.apenergy.2019.04.192

[15]

Kubilay A, Derome D, Carmeliet J (2018). Coupling of physical phenomena in urban microclimate: A model integrating air flow, wind-driven rain, radiation and transport in building materials. Urban Climate, 24: 398–418. 10.1016/j.uclim.2017.04.012

[16]

Künzel HM (1995). Simultaneous Heat and Moisture Transport in Building Components: One- and Two-dimensional Calculation Using Simple Parameters. Stuttgart: IRB Verlag.

[17]

Numerical investigation for thermal performance of exterior walls of residential buildings with moisture transfer in hot summer and cold winter zone of China

Xiangwei Liu, Youming Chen, Hua Ge et al.

Energy and Buildings 2015 10.1016/j.enbuild.2015.02.016

[18]

Liu L, Liu J, Jin L, et al. (2020). Climate-conscious spatial morphology optimization strategy using a method combining local climate zone parameterization concept and urban canopy layer model. Building and Environment, 185: 107301. 10.1016/j.buildenv.2020.107301

[19]

Pedersen CR (1992). Prediction of moisture transfer in building constructions. Building and Environment, 27: 387–397. 10.1016/0360-1323(92)90038-q

[20]

Philip JR, De Vries DA (1957). Moisture movement in porous materials under temperature gradients. Eos, Transactions American Geophysical Union, 38: 222–232. 10.1029/tr038i002p00222

[21]

Qin M, Yang J (2016). Evaluation of different thermal models in EnergyPlus for calculating moisture effects on building energy consumption in different climate conditions. Building Simulation, 9: 15–25. 10.1007/s12273-015-0263-2

[22]

Reinhart C, Dogan T, Jakubiec A, et al. (2013). Umi—An urban simulation environment for building energy use, daylighting and walkability. In: Proceedings of the 13th International IBPSA Building Simulation Conference.

[23]

Robinson D, Haldi F, Kämpf JH, et al. (2009). CitySim: Comprehensive micro-simulation of resource flows for sustainable urban planning. In: Proceedings of the 11th International IBPSA Building Simulation Conference.

[24]

Rode C, Ruut P, Woloszyn M (2006). Simulation tests in whole building heat and moisture transfer. In: Proceeding of the 3rd International Building Physics/Engineering Conference, Montreal, Canada, 2006.

[25]

Ruut P, Rode C (2004). Common Exercise 1 - Case 0A and 0B Revised, IEA, Annex 41, Task 1, Modeling Common Exercise.

[26]

Ruut P, Rode C (2005). Common Exercise 1 “Realistic” Case, IEA, Annex 41, Task 1, Modeling Common Exercise.

[27]

Steeman M, Janssens A, Steeman HJ, et al. (2010a). On coupling 1D non-isothermal heat and mass transfer in porous materials with a multizone building energy simulation model. Building and Environment, 45: 865–877. 10.1016/j.buildenv.2009.09.006

[28]

Steeman M, Van Belleghem M, De Paepe M, et al. (2010b). Experimental validation and sensitivity analysis of a coupled BES-HAM model. Building and Environment, 45: 2202–2217. 10.1016/j.buildenv.2010.04.003

[29]

Swaid H, Hoffman ME (1990). Prediction of urban air temperature variations using the analytical CTTC model. Energy and Buildings, 14: 313–324. 10.1016/0378-7788(90)90094-y

[30]

Talukdar P, Olutmayin SO, Osanyintola OF, et al. (2007). An experimental data set for benchmarking 1-D, transient heat and moisture transfer models of hygroscopic building materials. Part I: Experimental facility and material property data. International Journal of Heat and Mass Transfer, 50: 4527–4539. 10.1016/j.ijheatmasstransfer.2007.03.026

[31]

Tariku F, Kumaran K, Fazio P (2010). Integrated analysis of whole building heat, air and moisture transfer. International Journal of Heat and Mass Transfer, 53: 3111–3120. 10.1016/j.ijheatmasstransfer.2010.03.016

[32]

Toparlar Y, Blocken B, Maiheu B, et al. (2018). Impact of urban microclimate on summertime building cooling demand: A parametric analysis for Antwerp, Belgium. Applied Energy, 228: 852–872. 10.1016/j.apenergy.2018.06.110

[33]

Wang X, Jin X, Yin Y, et al. (2020). Study on non-isothermal moisture transfer characteristics of hygroscopic building materials: From parameter characterization to model analysis. Energy, 212: 118788. 10.1016/j.energy.2020.118788

[34]

Wang X, Jin X, Yin Y, et al. (2021). A transient heat and moisture transfer model for building materials based on phase change criterion under isothermal and non-isothermal conditions. Energy, 224: 120112. 10.1016/j.energy.2021.120112

[35]

Wang Z, Li Y, Song J, et al. (2022). Modelling and optimizing tree planning for urban climate in a subtropical high-density city. Urban Climate, 43: 101141. 10.1016/j.uclim.2022.101141

[36]

Wang X, Zhang X, Zhu S, et al. (2023). A novel and efficient method for calculating beam shadows on exterior surfaces of buildings in dense urban contexts. Building and Environment, 229: 109937. 10.1016/j.buildenv.2022.109937

[37]

Wang X, Tian S, Ren J, et al. (2024). A novel resistance-capacitance model for evaluating urban building energy loads considering construction boundary heterogeneity. Applied Energy, 361: 122896. 10.1016/j.apenergy.2024.122896

[38]

Xia D, Zhong Z, Huang Y, et al. (2023). Impact of coupled heat and moisture transfer on indoor comfort and energy demand for residential buildings in hot-humid regions. Energy and Buildings, 288: 113029. 10.1016/j.enbuild.2023.113029

[39]

Xu X, Dong Q, Zhen M (2024). Assessing effects of future climate change on outdoor thermal stress and building energy performance in severe cold region of China. Building and Environment, 251: 111236. 10.1016/j.buildenv.2024.111236

[40]

Yan D, Zhou X, An J, et al. (2022). DeST 3.0: A new-generation building performance simulation platform. Building Simulation, 15: 1849–1868. 10.1007/s12273-022-0909-9

[41]

Yang Y, Gu Q, Wei H, et al. (2023). Transforming and validating urban microclimate data with multi-sourced microclimate datasets for building energy modelling at urban scale. Energy and Buildings, 295: 113318. 10.1016/j.enbuild.2023.113318

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References

Details

Published: Jan 25, 2025
Vol/Issue: 18(3)
Pages: 663-678
License: View

Authors

X

Xiaoyu Wang

Qilu University of Technology

1Department of Pharmacy, The Affiliated Suzhou Hospital of Nanjing Medical University, Baita West Road (16#), Suzhou, China; 3Gusu School, Nanjing Medical University, Shizi Street (458#), Suzhou, China

Shihezi University

College of Architecture and Urban Planning, Tongji University, No. 1239 Si Ping Road, Shanghai 200092, China

Cite This Article

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

Integration of moisture effects into urban building energy modeling

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