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A Two-Stage Multiple Criteria Decision Making for Site Selection of Solar Photovoltaic (PV) Power Plant: A Case Study in Taiwan
IEEE Access Số , năm 2021 (Tập 9, trang 75509-75525)
ISSN: 21693536
ISSN: 21693536
DOI: 10.1109/ACCESS.2021.3081995
Tài liệu thuộc danh mục:
Article
English
Từ khóa: Analytic hierarchy process; Data envelopment analysis; Decision making; Electric power transmission; Energy policy; Fossil fuel power plants; Fossil fuels; Hierarchical systems; Location; Photovoltaic cells; Site selection; Solar power generation; Solar power plants; Supply chains; Sustainable development; Wind; Analytic hierarchy process (ahp); Electricity-consumption; Multiple criteria decision making; Renewable energy development; Renewable energy source; Seismically active zones; Solar photovoltaic power; Solar PV energy systems; Solar energy
Tóm tắt tiếng anh
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. � 2013 IEEE.
