Local-scale forcing effects on wind flows in an urban environment
Autor: | Massimiliano Burlando, Andrea Freda, Maria Pia Repetto, A. Ricci, I Ivo Kalkman, Bje Bert Blocken |
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Přispěvatelé: | Building Physics |
Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Engineering
010504 meteorology & atmospheric sciences Scale (ratio) Meteorology 020209 energy Urban wind flow 02 engineering and technology Forcing (mathematics) Computational fluid dynamics 01 natural sciences Wind speed 0202 electrical engineering electronic engineering information engineering Limit (mathematics) Renewable Energy SDG 7 - Affordable and Clean Energy Model detailing Reliability (statistics) 0105 earth and related environmental sciences Civil and Structural Engineering Sustainability and the Environment Renewable Energy Sustainability and the Environment business.industry Mechanical Engineering Mechanics Wind direction CFD simulations Geometric uncertainties Statistical performance business Reynolds-averaged Navier–Stokes equations SDG 7 – Betaalbare en schone energie |
Zdroj: | Journal of Wind Engineering and Industrial Aerodynamics, 170, 238-255. Elsevier |
ISSN: | 0167-6105 |
Popis: | Wind flow in urban areas is strongly affected by the urban geometry. In the last decades most of the geometries used to reproduce urban areas, both in wind-tunnel (WT) tests and Computational Fluid Dynamics (CFD) simulations, were simplified compared to reality in order to limit experimental effort and computational costs. However, it is unclear to which extent these geometrical simplifications can affect the reliability of the numerical and experimental results. The goal of this paper is to quantify the deviations caused by geometrical simplifications. The case under study is the district of Livorno city (Italy), called “Quartiere La Venezia”. The 3D steady Reynolds-averaged Navier-Stokes (RANS) simulations are solved, first for a single block of the district, then for the whole district. The CFD simulations are validated with WT tests at scale 1:300. Comparisons are made of mean wind velocity profiles between WT tests and CFD simulations, and the agreement is quantified using four validation metrics (FB, NMSE, R and FAC1.3). The results show that the most detailed geometry provides improved performance, especially for wind direction α = 240° (22% difference in terms of FAC1.3). ispartof: Journal of Wind Engineering and Industrial Aerodynamics vol:170 pages:238-255 status: published |
Databáze: | OpenAIRE |
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