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Study to evaluate the effect of terrain surface on performance of a wind farm in Ninh Thuan province, Vietnam

Authors :
Van Thin Dinh
Duc Nguyen Huu
Sang Le Quang
Van Binh Doan
Source :
E3S Web of Conferences, Vol 470, p 01038 (2023)
Publication Year :
2023
Publisher :
EDP Sciences, 2023.

Abstract

Topography is one of the important factors directly related to the distribution of wind resources, so it plays an important role in determining the layout and operation efficiency of wind power farms. In this research, we use a combination of Computational Fluid Dynamics (CFD) method and Geographic Information Systems (GIS) data to determine suitable locations for building wind turbines in complex terrain conditions. The selected region to build the analytical model is an area with many hills and mountains adjacent to the East Sea, in Thuan Nam and Ninh Phuoc districts, Ninh Thuan province. The first part, this article will provides a general method for determining the best locations for installation of wind turbines according to specific terrain conditions. Then, apply this method to build accurate 3D models for the area, the models are meshed by hexagonal elements combined with tetrahedron elements with side lengths of 200m. The results obtained from the models are the distributions of wind speed by altitude at specific locations such as mountain peaks, mountain slopes, valleys of the area pointed out. Based on these results, the locations with high and stable wind speed, suitable for wind turbine operation are suggested. In addition, the article also presents some locations where wind with high turbulence or eddy winds may appear, which may adversely affect turbine performance. Finally, the paper gives an optimal location map for a wind farm with a capacity of less than 100MW using a turbine with a 4MW capacity.

Details

Language :
English, French
ISSN :
22671242
Volume :
470
Database :
Directory of Open Access Journals
Journal :
E3S Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.1aab3abe626f4fbab9f553f2b2b601a3
Document Type :
article
Full Text :
https://doi.org/10.1051/e3sconf/202347001038