EconPapers    
Economics at your fingertips  
 

Micrositing of roof mounting wind turbine in urban environment: CFD simulations and lidar measurements

Qiang Wang, Jianwen Wang, Yali Hou, Renyu Yuan, Kun Luo and Jianren Fan

Renewable Energy, 2018, vol. 115, issue C, 1118-1133

Abstract: Roof mounting wind turbine (RMWT) is a promising form of wind energy utilization in urban environment. According to the International Energy Agency wind task 27, a recommended practice on micrositing of small wind turbines in the areas of high turbulence needs to be formulated. A computational fluid dynamics (CFD) study on the wind turbulence characteristics over the Engineering and Technology Building (ETB) on campus based on the urban atmospheric boundary layer (UABL) inflow condition is conducted, and the results are validated by wind lidar measurements. The micrositing method of RMWT is developed based on the CFD simulations, which contains preliminary and accurate micrositings. Results from this investigation suggest that the optimum installation height ranges from 1.51 to 1.79 times the height of building and the best locations are at the forefront where the wind acceleration reaches the maximum, as the wind direction varies. The methods developed in this paper can provide a feasible scheme for micrositing of RMWTs in urban environment and the results can also serve as a recommendation to this topic.

Keywords: Roof mounting wind turbine; Urban atmospheric boundary layer; Preliminary and accurate micrositing; Computational fluid dynamics; Wind lidar measurement (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148117309060
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:115:y:2018:i:c:p:1118-1133

DOI: 10.1016/j.renene.2017.09.045

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:renene:v:115:y:2018:i:c:p:1118-1133