Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mohammad Reza Kavian Nezhad"'
Publikováno v:
Atmosphere, Vol 13, Iss 7, p 1013 (2022)
Computational Fluid Dynamics (CFD) is used to accurately model and predict the dispersion of a passive scalar in the atmospheric wind flow field within an urban setting. The Mock Urban Setting Tests (MUST) experiment was recreated in this work to tes
Externí odkaz:
https://doaj.org/article/9c066bc18f494a55be1faae6b1e3dd83
Autor:
Sarah Jamal Mattar, Mohammad Reza Kavian Nezhad, Michael Versteege, Carlos F. Lange, Brian A. Fleck
Publikováno v:
Energies, Vol 14, Iss 9, p 2497 (2021)
This research presents a validation methodology for computational fluid dynamics (CFD) assessments of rooftop wind regime in urban environments. A case study is carried out at the Donadeo Innovation Centre for Engineering building at the University o
Externí odkaz:
https://doaj.org/article/ba63be3fafde413da0d81afa4373785d
Autor:
Brian A. Fleck, Michael Versteege, Mohammad Reza Kavian Nezhad, Carlos F. Lange, Sarah Jamal Mattar
Publikováno v:
Energies, Vol 14, Iss 2497, p 2497 (2021)
Energies
Volume 14
Issue 9
Energies
Volume 14
Issue 9
This research presents a validation methodology for computational fluid dynamics (CFD) assessments of rooftop wind regime in urban environments. A case study is carried out at the Donadeo Innovation Centre for Engineering building at the University o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b0e4551d9ae79b5dad669f8e2dad089
https://www.mdpi.com/1996-1073/14/9/2497
https://www.mdpi.com/1996-1073/14/9/2497