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Developing a framework for improvement of building thermal performance modeling under urban microclimate interactions

Shirzadi, Mohammadreza; Naghashzadegan, Mohammad; Mirzaei, Parham A.


Mohammadreza Shirzadi

Mohammad Naghashzadegan


Coupled models developed from the building energy simulation (BES) and computational fluid dynamics (CFD) methods are occasionally used for analyzing the buildings thermal performance. Nevertheless, the large uncertainty in the input parameters of BES models and values of the closure coefficients of Reynolds-averaged Navier-Stokes (RANS) turbulence models restrict the accuracy of coupled BES-CFD models for thermal performance prediction in highly dense urban areas.

Thus, a systematic framework for improving the accuracy of the coupled BES-CFD models is proposed in this study, consisting of an approximation technique and a stochastic optimization approach. In this framework, at first, a CFD model is improved with a closure coefficients optimization procedure using experimental data. In the second step, the improved CFD model is utilized to conduct a series of CFD simulations for real-geometry buildings in order to calibrate the BES model with the alteration of parameters such as the adaptive discharge coefficient, local wind profile, and convective heat transfer coefficients over the building façades.

The developed framework is then applied to a small cross-ventilated office building surrounded by neighboring buildings. Deviations up to 60% are found in the prediction of the energy saving potential of cross-ventilation strategy by the default and calibrated BES models.


Shirzadi, M., Naghashzadegan, M., & Mirzaei, P. A. (2019). Developing a framework for improvement of building thermal performance modeling under urban microclimate interactions. Sustainable Cities and Society, 44, 27-39.

Journal Article Type Article
Acceptance Date Sep 14, 2018
Online Publication Date Sep 19, 2018
Publication Date 2019-01
Deposit Date Sep 27, 2018
Publicly Available Date Sep 20, 2019
Journal Sustainable Cities and Society
Print ISSN 2210-6707
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 44
Pages 27-39
Keywords Renewable Energy, Sustainability and the Environment; Geography, Planning and Development; Civil and Structural Engineering; Transportation
Public URL
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