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Title Sustainable Energy Source Selection for Industrial Complex in Vietnam: A Fuzzy MCDM Approach
ID_Doc 78712
Authors Thanh, NV
Title Sustainable Energy Source Selection for Industrial Complex in Vietnam: A Fuzzy MCDM Approach
Year 2022
Published
DOI 10.1109/ACCESS.2022.3173609
Abstract Shifting from fossil energy to renewable energy is considered an inevitable trend to limit greenhouse gas emissions, protect the environment and reduce dependence on fossil fuels. In that trend, many companies globally, especially multinational corporations with great influence have pioneered the use of clean energy. The fact that more and more companies are committing to renewable energy and taking specific actions to accelerate the transition to clean energy sources is considered a good sign in the joint efforts of the whole world towards a greener future. In Vietnam, the use of renewable energy in production and business activities for sustainable development is also increasingly interested by businesses. Recently, many businesses are interested in taking advantage of renewable energy sources, aiming for environmentally friendly solutions to create products that meet green standards, increasing competitiveness in the market. However, the selection of a suitable energy resource for each industrial complex project is not a simple task as this involve multiple quantitative and qualitative criteria. In this research, the author proposed a fuzzy multicriteria decision making model (F-MCDM) for sustainable energy source selection for industrial complex in Vietnam, utilizing Spherical fuzzy Analytic Hierarchy Process (SF-AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The main contribution of this study is to propose a Spherical fuzzy MCDM model to support planners and decision makers in the renewable energy resources evaluation and selection process of industrial complexes development projects in Vietnam. A case study is also performed to showcase the feasibility of the proposed approach.
Author Keywords Renewable energy sources; Fuzzy sets; Hydroelectric power generation; Analytic hierarchy process; Sustainable development; Investment; Analytical models; Renewable energy; SF-AHP; TOPSIS; FMCDM; sustainable
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000797440500001
WoS Category Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications
Research Area Computer Science; Engineering; Telecommunications
PDF https://ieeexplore.ieee.org/ielx7/6287639/6514899/09771257.pdf
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