Bin Ali, Muhammad, Ahmad, Zeshan, Alshahrani, Saad, Younis, Muhammad Rizwan, Talib, Irsa and Imran, Muhammad (2022). A Case Study: Layout Optimization of Three Gorges Wind Farm Pakistan, Using Genetic Algorithm. Sustainability (Switzerland), 14 (24),
Abstract
Wind is an important renewable energy source. The majority of wind farms in Pakistan are installed in Jhimpir, Sindh Wind Corridor. At this location, downstream turbines encounter upstream turbines’, wake, decreasing power output. To maximize the power output, there is a need to minimize these wakes. In this research, a method is proposed to maximize the power output using a Genetic Algorithm (GA). Hub heights and inter-turbine spacing are considered variables in this method. Two wind farms located at Jhimpir, Sindh, namely, Second and Third Three Gorges Wind Farms (TGWFs), have been analyzed. Three different cases are considered to maximize the power output. In Case 1, thesame hub heights and inter-turbine spacing without wake effects are considered. In Case 2, the same hub heights and inter-turbine spacing with wake effects are considered. In Case 3, variable hub heights and inter-turbine spacing with wake effects are considered. The results revealed that TGWFs, with variable hub heights and inter-turbine spacing, produce more power output. It is also revealed that the increase in power output, in the case of two different hub heights, is greater in comparison to three different hub heights. Eventually, the proposed method may help in the layout optimization of a wind farm.
| Publication DOI: | https://doi.org/10.3390/su142416960 |
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| Divisions: | College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design College of Engineering & Physical Sciences > Energy and Bioproducts Research Institute (EBRI) College of Engineering & Physical Sciences |
| Funding Information: | The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University, Saudi Arabia, for funding this work through the Research Group Program under Grant No: R.G.P.2 /32/43. Deanship of Scientific Research at King Khalid U |
| Additional Information: | Funding Information: Deanship of Scientific Research at King Khalid University, Saudi Arabia, Grant No: R.G.P.2/32/43. Funding Information: Deanship of Scientific Research at King Khalid University, Saudi Arabia, Grant No: R.G.P.2/32/43. Publisher copyright © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
| Uncontrolled Keywords: | genetic algorithm,hub height,inter-turbine spacing,layout optimization,turbine,wind energy,Computer Science (miscellaneous),Geography, Planning and Development,Renewable Energy, Sustainability and the Environment,Building and Construction,Environmental Science (miscellaneous),Energy Engineering and Power Technology,Hardware and Architecture,Computer Networks and Communications,Management, Monitoring, Policy and Law |
| Publication ISSN: | 2071-1050 |
| Last Modified: | 16 Dec 2024 08:48 |
| Date Deposited: | 13 Feb 2023 14:00 |
| Full Text Link: | |
| Related URLs: |
http://www.scop ... tnerID=8YFLogxK
(Scopus URL) https://www.mdp ... 050/14/24/16960 (Publisher URL) |
PURE Output Type: | Article |
| Published Date: | 2022-12-17 |
| Accepted Date: | 2022-12-10 |
| Authors: |
Bin Ali, Muhammad
Ahmad, Zeshan Alshahrani, Saad Younis, Muhammad Rizwan Talib, Irsa Imran, Muhammad ( 
0000-0002-3057-1301)
|
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