Application of choosing by advantages to determine the optimal site for solar power plants

Solar energy is a critical component of the energy development strategy. The site selection for solar power plants has a signifcant impact on the cost of energy production. A favorable situation would result in signifcant cost savings and increased electricity generation efciency. California is...

Full description

Saved in:
Bibliographic Details
Main Authors: Hui, Hwang Goh, Li, Chunyu, Zhang, Dongdong, Dai, Wei, Chee, Shen Lim, Kurniawan, Tonni Agustiono, Kai, Chen Goh
Format: Article
Language:English
Published: Nature Publishing Group 2022
Subjects:
Online Access:http://eprints.uthm.edu.my/7418/1/J14366_d0e2b55eb219ff4b6c72ea3b01fb9d73.pdf
http://eprints.uthm.edu.my/7418/
https://doi.org/10.1038/s41598-022-08193-1
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uthm.eprints.7418
record_format eprints
spelling my.uthm.eprints.74182022-07-21T07:20:50Z http://eprints.uthm.edu.my/7418/ Application of choosing by advantages to determine the optimal site for solar power plants Hui, Hwang Goh Li, Chunyu Zhang, Dongdong Dai, Wei Chee, Shen Lim Kurniawan, Tonni Agustiono Kai, Chen Goh T Technology (General) Solar energy is a critical component of the energy development strategy. The site selection for solar power plants has a signifcant impact on the cost of energy production. A favorable situation would result in signifcant cost savings and increased electricity generation efciency. California is located in the southwest region of the United States of America and is blessed with an abundance of sunlight. In recent years, the state’s economy and population have expanded quickly, resulting in an increased need for power. This study examines the south of California as a possibly well-suited site for the constructing large solar power plants to meet the local electricity needs. To begin, this article imposed some limits on the selection of three potential sites for constructing solar power plants (S1, S2, and S3). Then, a systematic approach for solar power plant site selection was presented, focusing on fve major factors (economic, technological, social, geographical, and environmental). This is the frst time that the choosing by advantages (CBA) method has been used to determine the optimal sites for solar power plant construction, with the possible sites ranked as S2>S1 >S3. The results were then compared with traditional methods such as the multi-criteria decision-making method. The fndings of this study suggest that the CBA method not only streamlines the solar power plant site selection process but also closely aligns with the objectives and desires of the investors. Nature Publishing Group 2022 Article PeerReviewed text en http://eprints.uthm.edu.my/7418/1/J14366_d0e2b55eb219ff4b6c72ea3b01fb9d73.pdf Hui, Hwang Goh and Li, Chunyu and Zhang, Dongdong and Dai, Wei and Chee, Shen Lim and Kurniawan, Tonni Agustiono and Kai, Chen Goh (2022) Application of choosing by advantages to determine the optimal site for solar power plants. Scientific Reports, 12 (4113). ISSN 2045-2322 https://doi.org/10.1038/s41598-022-08193-1
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Hui, Hwang Goh
Li, Chunyu
Zhang, Dongdong
Dai, Wei
Chee, Shen Lim
Kurniawan, Tonni Agustiono
Kai, Chen Goh
Application of choosing by advantages to determine the optimal site for solar power plants
description Solar energy is a critical component of the energy development strategy. The site selection for solar power plants has a signifcant impact on the cost of energy production. A favorable situation would result in signifcant cost savings and increased electricity generation efciency. California is located in the southwest region of the United States of America and is blessed with an abundance of sunlight. In recent years, the state’s economy and population have expanded quickly, resulting in an increased need for power. This study examines the south of California as a possibly well-suited site for the constructing large solar power plants to meet the local electricity needs. To begin, this article imposed some limits on the selection of three potential sites for constructing solar power plants (S1, S2, and S3). Then, a systematic approach for solar power plant site selection was presented, focusing on fve major factors (economic, technological, social, geographical, and environmental). This is the frst time that the choosing by advantages (CBA) method has been used to determine the optimal sites for solar power plant construction, with the possible sites ranked as S2>S1 >S3. The results were then compared with traditional methods such as the multi-criteria decision-making method. The fndings of this study suggest that the CBA method not only streamlines the solar power plant site selection process but also closely aligns with the objectives and desires of the investors.
format Article
author Hui, Hwang Goh
Li, Chunyu
Zhang, Dongdong
Dai, Wei
Chee, Shen Lim
Kurniawan, Tonni Agustiono
Kai, Chen Goh
author_facet Hui, Hwang Goh
Li, Chunyu
Zhang, Dongdong
Dai, Wei
Chee, Shen Lim
Kurniawan, Tonni Agustiono
Kai, Chen Goh
author_sort Hui, Hwang Goh
title Application of choosing by advantages to determine the optimal site for solar power plants
title_short Application of choosing by advantages to determine the optimal site for solar power plants
title_full Application of choosing by advantages to determine the optimal site for solar power plants
title_fullStr Application of choosing by advantages to determine the optimal site for solar power plants
title_full_unstemmed Application of choosing by advantages to determine the optimal site for solar power plants
title_sort application of choosing by advantages to determine the optimal site for solar power plants
publisher Nature Publishing Group
publishDate 2022
url http://eprints.uthm.edu.my/7418/1/J14366_d0e2b55eb219ff4b6c72ea3b01fb9d73.pdf
http://eprints.uthm.edu.my/7418/
https://doi.org/10.1038/s41598-022-08193-1
_version_ 1739830456230084608
score 13.214268