Hydrogen Power Plant Site Selection Under Fuzzy Multicriteria Decision-Making (FMCDM) Environment Conditions

Abstract

Fuel and energy are basic resources necessary to meet a country’s socioeconomic development needs; further, countries rich in these resources have the best premise for meeting the inputs of an economic system; however, this also poses many political challenges and threats to national security. Vietnam is located in the Southeast Asian monsoon-humid tropical region and has diverse fuel-energy resources such as coal, petroleum, and hydropower, along with renewable energy sources such as solar energy, biomass energy, and geothermal energy. However, the reality of economic development in recent years shows complex fluctuations in fuel and energy usage, i.e., besides the export of coal and crude oil, Vietnam still has imported processed oil products. To overcome this issue, many hydrogen power plants will be built in the future. This is why we propose fuzzy multicriteria decision-making (FMCDM) for hydrogen power plant site selection in this research. All criteria affecting location selection are determined by experts and literature reviews, and the weight of all criteria are defined by a fuzzy analytic hierarchy process (FAHP). The technique for order of preference by similarity to an ideal solution (TOPSIS) is a multicriteria decision analysis method, which is used for ranking potential locations in the final stage. As a result, the decision-making unit, DMU010 (DMU010), has become the optimal solution for building hydrogen power plants in Vietnam. A multicriteria decision-making (MCDM) model for hydrogen power plant site selection in Vietnam under fuzzy environment conditions is a contribution of this study. This research also provides useful tools for other types of renewable energies in Vietnam and other countries.

Research on Investment Environment Performance Evaluation of Blockchain Industry with Intuitionistic Fuzzy CODAS Method

“…Future research could tackle the interdependency of attributes by utilizing some other methods including ANP, AHP, and information entropy. Furthermore, the developed method could be used to tackle some other MAGDM like project selection [50][51][52][53][54] and site selection [55][56][57]. It could also be applied to some other diverse uncertain and ambiguous settings [58][59][60][61][62][63][64][65][66].…”

A Comparative study and efficiency analysis between Sanchez and Fuzzy TOPSIS methods in a multi-criteria decision-making problem for energy plant instalment

“…are being analyzed. Wang et al [32] have proposed fuzzy multicriteria decision-making (FMCDM) for hydrogen power plant site selection. Fuzzy analytic hierarchy process (FAHP) is used to determine various criteria and weights associated with it.…”

Decision-Making Model for Designing Telecom Products/Services Based on Customer Preferences and Non-Preferences

“…The eXvaluation regarding the criteria considered to select a project (from different alternatives) in which the L6s methodology is applied could be considered a Fuzzy Multi-Criteria Decision-Making (FMCDM) problem, in which the assessments and opinions of multiple experts can be handled. Several approaches have been published on different aspects of decision-making problems, and there is a significant number of studies on FMCDM (Chien-Chang, 2010;Mardani et al, 2015;Önüt et al, 2009;Patil & Kant, 2014;Wang, Hsueh et al, 2019;Zhang et al, 2016). Other examples of more recent FMCDM approaches are: Simplified Best Worst Method (SBWM) (Amiri et al, 2021), Multi-Attributive Border Approximation Area Comparison (MABAC) (Zhao et al, 2021), Simultaneous Evaluation of Criteria and Alternatives (SECA) (Keshavarz-Ghorabaee et al, 2018), Stepwise Weight Assessment Ratio Analysis (SWARA) II (Keshavarz-Ghorabaee, 2021), MEthod based on the Removal Effects of Criteria (MEREC) (Keshavarz-Ghorabaee et al, 2021), and Evaluation based on Distance from Average Solution (EDAS) (Zindani et al, 2019).…”