政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/141908
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    題名: Using AI-MCDM Model to Boost Sustainable Energy System Development: A Case Study on Solar Energy and Rainwater Collection in Guangdong Province
    作者: 顏敏仁
    Yan, Min-Ren
    Hsueh, Sung-Lin;Feng, Yuan;Sun, Yue;Jia, Ruqi
    貢獻者: 教育學院
    關鍵詞: rural revitalization;low carbon emission self-use residences;Delphi method;analytic hierarchy process;fuzzy logic theory;sustainable system development
    日期: 2021-11
    上傳時間: 2022-09-19 15:17:18 (UTC+8)
    摘要: 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.
    關聯: Sustainability, 13(22), 12505
    資料類型: article
    DOI 連結: https://doi.org/10.3390/su132212505
    DOI: 10.3390/su132212505
    顯示於類別:[教育學院] 期刊論文

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