A Two-Stage Multiple Criteria Decision Making for Site Selection of Solar Photovoltaic (PV) Power Plant: A Case Study in Taiwan

At the heart of Covid-19 responses, the transition from fossil sources to green energy is an urgent issue for nations to address the crisis and secure sustainable economies. As a country in a seismically active zone that relies heavily on imported fossil fuels, Taiwan is vigorously taking the next s...

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Autores principales: Chia-Nan Wang, Ngoc-Ai-Thy Nguyen, Thanh-Tuan Dang, Julius Bayer
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Publicado: IEEE 2021
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spelling oai:doaj.org-article:3d4fac8cdfaf4ba5b5244730fff4e2df2021-11-19T00:07:03ZA Two-Stage Multiple Criteria Decision Making for Site Selection of Solar Photovoltaic (PV) Power Plant: A Case Study in Taiwan2169-353610.1109/ACCESS.2021.3081995https://doaj.org/article/3d4fac8cdfaf4ba5b5244730fff4e2df2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9435320/https://doaj.org/toc/2169-3536At the heart of Covid-19 responses, the transition from fossil sources to green energy is an urgent issue for nations to address the crisis and secure sustainable economies. As a country in a seismically active zone that relies heavily on imported fossil fuels, Taiwan is vigorously taking the next step in renewable energy development, which is pivotal to securing its position in global supply chains. Solar energy is today the most suitable renewable energy source for Taiwan. However, land prices and policies, and challenges of scale still hinder its development. In this context, identifying optimal sites for solar photovoltaic (PV) construction is a crucial task for major energy stakeholders. In this paper, a two-stage approach, combining the data envelopment analysis (DEA) models and the analytic hierarchy process (AHP), has been done for the first time to identify the most suitable locations among 20 potential cities and counties of Taiwan for constructing solar PV farms. DEA models were applied to filter out the areas with the most potential by measuring their efficiency indices with temperature, wind speed, humidity, precipitation, and air pressure, as inputs, and sunshine hours and insolation, as outputs. The locations with perfect efficiency scores were then ranked with the AHP method. Five selected evaluation criteria (site characteristics, technical, economic, social, and environmental) and sub-criteria of each were utilized to prioritize the locations with solar energy potential. AHP was used to determine the relative weights of the criteria and sub-criteria and the final weights of the areas. For criteria weighting results, “support mechanisms,” “electric power transmission cost,” and “electricity consumption demand” with weights of 0.332, 0.122, and 0.086, respectively, were found as the most significant sub-criteria. The final ranking suggests Tainan, Changhua, and Kaohsiung as the top three most suitable cities for constructing solar PV energy systems.Chia-Nan WangNgoc-Ai-Thy NguyenThanh-Tuan DangJulius BayerIEEEarticleRenewable energyTaiwansolar photovoltaic (PV) power plantsite selectiondecision makingDEAElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 75509-75525 (2021)
institution DOAJ
collection DOAJ
language EN
topic Renewable energy
Taiwan
solar photovoltaic (PV) power plant
site selection
decision making
DEA
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Renewable energy
Taiwan
solar photovoltaic (PV) power plant
site selection
decision making
DEA
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Chia-Nan Wang
Ngoc-Ai-Thy Nguyen
Thanh-Tuan Dang
Julius Bayer
A Two-Stage Multiple Criteria Decision Making for Site Selection of Solar Photovoltaic (PV) Power Plant: A Case Study in Taiwan
description At the heart of Covid-19 responses, the transition from fossil sources to green energy is an urgent issue for nations to address the crisis and secure sustainable economies. As a country in a seismically active zone that relies heavily on imported fossil fuels, Taiwan is vigorously taking the next step in renewable energy development, which is pivotal to securing its position in global supply chains. Solar energy is today the most suitable renewable energy source for Taiwan. However, land prices and policies, and challenges of scale still hinder its development. In this context, identifying optimal sites for solar photovoltaic (PV) construction is a crucial task for major energy stakeholders. In this paper, a two-stage approach, combining the data envelopment analysis (DEA) models and the analytic hierarchy process (AHP), has been done for the first time to identify the most suitable locations among 20 potential cities and counties of Taiwan for constructing solar PV farms. DEA models were applied to filter out the areas with the most potential by measuring their efficiency indices with temperature, wind speed, humidity, precipitation, and air pressure, as inputs, and sunshine hours and insolation, as outputs. The locations with perfect efficiency scores were then ranked with the AHP method. Five selected evaluation criteria (site characteristics, technical, economic, social, and environmental) and sub-criteria of each were utilized to prioritize the locations with solar energy potential. AHP was used to determine the relative weights of the criteria and sub-criteria and the final weights of the areas. For criteria weighting results, “support mechanisms,” “electric power transmission cost,” and “electricity consumption demand” with weights of 0.332, 0.122, and 0.086, respectively, were found as the most significant sub-criteria. The final ranking suggests Tainan, Changhua, and Kaohsiung as the top three most suitable cities for constructing solar PV energy systems.
format article
author Chia-Nan Wang
Ngoc-Ai-Thy Nguyen
Thanh-Tuan Dang
Julius Bayer
author_facet Chia-Nan Wang
Ngoc-Ai-Thy Nguyen
Thanh-Tuan Dang
Julius Bayer
author_sort Chia-Nan Wang
title A Two-Stage Multiple Criteria Decision Making for Site Selection of Solar Photovoltaic (PV) Power Plant: A Case Study in Taiwan
title_short A Two-Stage Multiple Criteria Decision Making for Site Selection of Solar Photovoltaic (PV) Power Plant: A Case Study in Taiwan
title_full A Two-Stage Multiple Criteria Decision Making for Site Selection of Solar Photovoltaic (PV) Power Plant: A Case Study in Taiwan
title_fullStr A Two-Stage Multiple Criteria Decision Making for Site Selection of Solar Photovoltaic (PV) Power Plant: A Case Study in Taiwan
title_full_unstemmed A Two-Stage Multiple Criteria Decision Making for Site Selection of Solar Photovoltaic (PV) Power Plant: A Case Study in Taiwan
title_sort two-stage multiple criteria decision making for site selection of solar photovoltaic (pv) power plant: a case study in taiwan
publisher IEEE
publishDate 2021
url https://doaj.org/article/3d4fac8cdfaf4ba5b5244730fff4e2df
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