Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/61528
Title: Estimation of wind power generation in dense urban area
Authors: Yang, AS
Su, YM
Wen, CY 
Juan, YH
Wang, WS
Cheng, CH
Keywords: Computational fluid dynamics
Micro wind turbine
Urban wind power
Issue Date: 2016
Publisher: Pergamon Press
Source: Applied energy, 2016, v. 171, p. 213-230 How to cite?
Journal: Applied energy 
Abstract: There is great potential in the use of urban wind energy to form electricity generation modules over a distribution network to maximize wind power production in densely urbanized areas. The objective of this study is to therefore develop computational fluid dynamics (CFD)-based evaluation procedures to determine potential mounting sites of wind turbines and obtain estimates of wind power by taking into consideration the details of the local urban topography and boundary conditions of micro-environments. The predictions, including those of the wind velocity and direction as well as turbulence intensity, are compared with field measurements via ultrasonic anemometers and thermal flow velocity probes at 10 monitored sites over five different floors inside an objective building to validate the computational model as well as attain a better understanding of the interaction of the wind with buildings in a complex terrain. The predicted power density and turbulence intensity profiles are then used to analyze the power density, turbulence intensity and lowest mounting height for optimizing the potential mounting sites and estimates of wind power. The suggested deployment solution of using CFD for wind turbines on the studied site is clearly different from those suggested in the literature and their deficiency in providing optimum mounting sites in micro-environments. Moreover, an improved roof design with a rounded shape is proposed for the enhancement of wind power density with relatively lower turbulence intensity.
URI: http://hdl.handle.net/10397/61528
ISSN: 0306-2619
EISSN: 1872-9118
DOI: 10.1016/j.apenergy.2016.03.007
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