Using AI-MCDM Model to Boost Sustainable Energy System Development: A Case Study on Solar Energy and Rainwater Collection in Guangdong Province

Rural areas in southern China receive ample rainfall annually as well as over 1600 h of annual sunshine. Despite a generally severe urban–rural development imbalance, these rural areas feature well-developed basic infrastructure and diverse economic activities. Rural revitalization policies in these...

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Autores principales:	Sung-Lin Hsueh, Yuan Feng, Yue Sun, Ruqi Jia, Min-Ren Yan
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	rural revitalization low carbon emission self-use residences Delphi method analytic hierarchy process fuzzy logic theory sustainable system development Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/399c524dbf7b439486c1b49ff16ea29b
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id	oai:doaj.org-article:399c524dbf7b439486c1b49ff16ea29b
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spelling	oai:doaj.org-article:399c524dbf7b439486c1b49ff16ea29b2021-11-25T19:01:37ZUsing AI-MCDM Model to Boost Sustainable Energy System Development: A Case Study on Solar Energy and Rainwater Collection in Guangdong Province10.3390/su1322125052071-1050https://doaj.org/article/399c524dbf7b439486c1b49ff16ea29b2021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12505https://doaj.org/toc/2071-1050Rural areas in southern China receive ample rainfall annually as well as over 1600 h of annual sunshine. Despite a generally severe urban–rural development imbalance, these rural areas feature well-developed basic infrastructure and diverse economic activities. Rural revitalization policies in these areas have emphasized the development of cultural and ecological tourism, which has spurred economic development and given rise to a trend of villa construction. Residential buildings sit on large areas where natural resources are abundant. These advantages are conducive to the development and use of sustainable resources. This study proposes an incentive policy encouraging rural residents to renovate their buildings to include rainwater conservation and solar power generation. The Delphi method, an analytic hierarchy process, and fuzzy logic theory were combined to establish an AI-MCDM model, with applications of artificial intelligence and multiple-criteria decision making. Using Conghua District, Guangdong Province as an example, the study suggested that the model is beneficial to increasing the willingness of rural residents to reconstruct and renovate their residences, promoting the development of a low-carbon ecological region, Wenquan Township. We conducted the Delphi process twice to assess and validate incentives for installing natural resource conservation structures in agricultural areas. Nine criteria were identified, which can be divided into three main dimensions of participation situation, generating capacity, and storage facilities. The proposed AI-MCDM model developed using the Delphi–Fuzzy Analytic Hierarchy Process Model has high objectivity and can support rural areas in developing low-carbon, sustainable characteristics. The findings can serve as a reference for governments formulating incentives to encourage the installation of rainwater conservation and solar energy generation structures by rural households.Sung-Lin HsuehYuan FengYue SunRuqi JiaMin-Ren YanMDPI AGarticlerural revitalizationlow carbon emission self-use residencesDelphi methodanalytic hierarchy processfuzzy logic theorysustainable system developmentEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12505, p 12505 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	rural revitalization low carbon emission self-use residences Delphi method analytic hierarchy process fuzzy logic theory sustainable system development Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	rural revitalization low carbon emission self-use residences Delphi method analytic hierarchy process fuzzy logic theory sustainable system development Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Sung-Lin Hsueh Yuan Feng Yue Sun Ruqi Jia Min-Ren Yan Using AI-MCDM Model to Boost Sustainable Energy System Development: A Case Study on Solar Energy and Rainwater Collection in Guangdong Province
description	Rural areas in southern China receive ample rainfall annually as well as over 1600 h of annual sunshine. Despite a generally severe urban–rural development imbalance, these rural areas feature well-developed basic infrastructure and diverse economic activities. Rural revitalization policies in these areas have emphasized the development of cultural and ecological tourism, which has spurred economic development and given rise to a trend of villa construction. Residential buildings sit on large areas where natural resources are abundant. These advantages are conducive to the development and use of sustainable resources. This study proposes an incentive policy encouraging rural residents to renovate their buildings to include rainwater conservation and solar power generation. The Delphi method, an analytic hierarchy process, and fuzzy logic theory were combined to establish an AI-MCDM model, with applications of artificial intelligence and multiple-criteria decision making. Using Conghua District, Guangdong Province as an example, the study suggested that the model is beneficial to increasing the willingness of rural residents to reconstruct and renovate their residences, promoting the development of a low-carbon ecological region, Wenquan Township. We conducted the Delphi process twice to assess and validate incentives for installing natural resource conservation structures in agricultural areas. Nine criteria were identified, which can be divided into three main dimensions of participation situation, generating capacity, and storage facilities. The proposed AI-MCDM model developed using the Delphi–Fuzzy Analytic Hierarchy Process Model has high objectivity and can support rural areas in developing low-carbon, sustainable characteristics. The findings can serve as a reference for governments formulating incentives to encourage the installation of rainwater conservation and solar energy generation structures by rural households.
format	article
author	Sung-Lin Hsueh Yuan Feng Yue Sun Ruqi Jia Min-Ren Yan
author_facet	Sung-Lin Hsueh Yuan Feng Yue Sun Ruqi Jia Min-Ren Yan
author_sort	Sung-Lin Hsueh
title	Using AI-MCDM Model to Boost Sustainable Energy System Development: A Case Study on Solar Energy and Rainwater Collection in Guangdong Province
title_short	Using AI-MCDM Model to Boost Sustainable Energy System Development: A Case Study on Solar Energy and Rainwater Collection in Guangdong Province
title_full	Using AI-MCDM Model to Boost Sustainable Energy System Development: A Case Study on Solar Energy and Rainwater Collection in Guangdong Province
title_fullStr	Using AI-MCDM Model to Boost Sustainable Energy System Development: A Case Study on Solar Energy and Rainwater Collection in Guangdong Province
title_full_unstemmed	Using AI-MCDM Model to Boost Sustainable Energy System Development: A Case Study on Solar Energy and Rainwater Collection in Guangdong Province
title_sort	using ai-mcdm model to boost sustainable energy system development: a case study on solar energy and rainwater collection in guangdong province
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/399c524dbf7b439486c1b49ff16ea29b
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Using AI-MCDM Model to Boost Sustainable Energy System Development: A Case Study on Solar Energy and Rainwater Collection in Guangdong Province

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