A Multicriteria Decision-Making Model for the Selection of Suitable Renewable Energy Sources

Mathematics

卷:9

Chia-Nan Wang¹  Yen-Hui Wang²  Van Thanh Nguyen³  Viet Tinh Nguyen³  Syed Tam Husain³  Jui-Chung Kao⁴ 

[1]Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan

[2]|Department of Information Management, Chihlee University of Technology, New Taipei City 220305, Taiwan

[3]|Faculty of Commerce, Van Lang University, Ho Chi Minh City 70000, Vietnam

[4]|Institute of Marine Affairs and Business Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan

关键词: renewable energy;    wind energy;    solid waste energy;    solar energy;    biomass energy;    MCDM;   

DOI  :  10.3390/math9121318

来源: DOAJ

【 摘 要 】

With the expansion of its industrial and manufacturing sectors, with the goal of positioning Vietnam as the world’s new production hub, Vietnam is forecast to face a surge in energy demand. Today, the main source of energy of Vietnam is fossil fuels, which are not environmentally friendly and are rapidly depleting. The speed of extraction and consumption of fossil fuels is too fast, causing them to become increasingly scarce and gradually depleted. Renewable energy options, such as solar, wind, hydro electrical, and biomass, can be considered as sustainable alternatives to fossil fuels. However, to ensure the effectiveness of renewable energy development initiatives, technological, economic, and environmental must be taken in consideration when choosing a suitable renewable energy resource. In this research, the authors present a multi-criteria decision-making model (MCDM) implementing the grey analytic hierarchy process (G-AHP) method and the weighted aggregates sum product assessment (WASPAS) method for the selection of optimal renewable energy sources for the energy sector of Vietnam. The results of the proposed model have determined that solar energy is the optimal source of renewable energy with a performance score of 0.8822, followed by wind (0.8766), biomass (0.8488), and solid waste energy (0.8135) based on the calculations of the aforementioned methods.

【 授权许可】

Unknown