Tools
Tools
Shahrokhi, A, Berthaut-Gerentes, J, Ma, L, Ingham, D and Pourkashanian, M (2023) Large Eddy Simulation Inflow Generation Using Reduced Length Scales for Flows Past Low-Rise Buildings. Sustainability, 15 (17). p. 12786. ISSN 2071-1050
|
Text
Large Eddy Simulation Inflow Generation Using Reduced Length Scales for Flows Past Low-Rise Buildings.pdf - Published Version Available under License Creative Commons Attribution. Download (6MB) | Preview |
Abstract
When undertaking wind assessment around buildings using large eddy simulation (LES), the implementation of the integral length scale at the inlet for inflow generation is controversial, as real atmospheric length scales require huge computational domains. While length scales significantly influence inflow generation in the domain, their effect on the downstream flow field has not, as yet, been investigated. In this paper, we validate the effectiveness and accuracy of implementing a reduced turbulence integral length scale for inflow generation in LES results at the rooftop of low-rise buildings and develop a technique to estimate the real local length scales using simulation results. We measure the wind locally and calculate the turbulence length scales from the energy spectrum of the wind data and simulation data. According to these results, there is an excellent agreement between the length scale from simulation and measurement when they are scaled with their corresponding freestream/inlet value. These results indicate that a reduced integral length scale can be safely used for LES to provide a reliable prediction of the energy spectrum as well as the length scales around complex geometries. The simulation results were confidently employed to obtain the best location for a wind turbine installation on low-rise buildings.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | 12 Built Environment and Design |
| Subjects: | T Technology > TH Building construction T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Engineering |
| Publisher: | MDPI |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 29 Nov 2023 15:13 |
| Last Modified: | 29 Nov 2023 15:15 |
| DOI or ID number: | 10.3390/su151712786 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/21978 |
 |
View Item |