Jui-Chung Kao
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Jui-Chung Kao has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Chia-Nan Wang
Department of Industrial Engineering and Management National Kaohsiung University of Science and Technology Kaohsiung Taiwan
1 shared publication - Mu-Chien Lin
Central Police University, Department of Maritime Police, No. 56, Shujen Rd., Takang Village, Kueishan Hsiang, Taoyuan, Taiwan, ROC
1 shared publication - Nguyen Van Thanh
Department of Logistics and Supply Chain Management, School of Technology, Van Lang University, Ho Chi Minh City, Vietnam
1 shared publication - Syed Tam Husain
Faculty of Commerce, Van Lang University, Ho Chi Minh City 70000, Vietnam
1 shared publication - Viet Tinh Nguyen
Faculty of Commerce, Van Lang University, Ho Chi Minh 723000, Vietnam
1 shared publication - Yen-Hui Wang
Department of Information Management, Chihlee University of Technology, New Taipei City 220305, Taiwan
1 shared publication
Latest Publications
- Open Access
- 8 June 2021
- Published by MDPI AG in Mathematics
- Vol. 9 (12) , 1318
A Multicriteria Decision-Making Model for the Selection of Suitable Renewable Energy Sources
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.
- 8 June 2021
- Published by MDPI AG in Mathematics
- Vol. 9 (12) , 1318
Open AccessA Multicriteria Decision-Making Model for the Selection of Suitable Renewable Energy Sources
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.
- 1 April 2016
- Published by Elsevier in Marine Pollution Bulletin
- Vol. 105 (1) , 139-142
Marine environmental protection: An application of the nanometer photo catalyst method on decomposition of benzene
- 1 April 2016
- Published by Elsevier in Marine Pollution Bulletin
- Vol. 105 (1) , 139-142
Marine environmental protection: An application of the nanometer photo catalyst method on decomposition of benzene