Estimation of wind power generation in dense urban area

An Shik Yang, Ying Ming Su, Chih-yung Wen, Yu Hsuan Juan, Wei Siang Wang, Chiang Ho Cheng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

68 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)213-230
Number of pages18
JournalApplied Energy
Volume171
DOIs
Publication statusPublished - 1 Jun 2016

Keywords

  • Computational fluid dynamics
  • Micro wind turbine
  • Urban wind power

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Energy(all)

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