Journal Articles - Environment and Environmental Protection - 2022
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PublicationManagement At Source of The Bottom And Fly Ash from Thermal Generation Facilities in The Industrial and Export Processing Zones in Ho Chi Minh City( 2022)Thermal generation facilities (TGFs) play a vital role in supplying heat to industrial manufacturing processes. In addition to fuel consumption, the majority of which are fossil fuels, TGFs produce bottom and fly ash (BFA) that could be utilized. The objective of this study is to assess the production and management at source of the BFA to propose appropriate management solutions. Based on HEPZA’s database, a questionnaire survey was conducted among 179 enterprises. Data was analyzed using descriptive statistics. The result revealed a total BFA production of 1,606.22 tons per month. At most enterprises, the bottom ash and fly ash were not separated. 33 companies involved in the collection, transportation, treatment, and recycling of BFA at 61 enterprises, showing a dispersed BFA handling system that may disadvantage the control of BFA pathways for reuse. This study proposed solutions to enhance BFA utilization via managing the BFA at source as well as the collection, transportation, treatment, and recycling facilities.
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PublicationSpherical Fuzzy Multicriteria Decision-Making Model for Wind Turbine Supplier Selection in a Renewable Energy Project( 2022)The Vietnamese government has decided to use and promote the development of more renewable energy sources, particularly wind energy. When implementing a wind energy project, choosing a wind turbine supplier is an important decision and investors must find the optimal supplier through evaluating many qualitative and quantitative criteria that affect each other symmetrically. Therefore, the process used for selecting a wind turbine supplier in wind power projects is a multi-criteria decision-making process. Many approaches have been applied for this decision process, some of which are based on multicriteria decision-making (MCDM) methods, whether applied individually or in combination with other MCDM models. In this study, the researchers proposed a decision-making model based on spherical fuzzy sets for wind turbine supplier selection in wind power energy projects. In this paper, Vietnam is used as a case study. The recommended turbine suppliers for installations can finally be generated after the calculations in the final stage of this research. The contribution of this research is developing a fuzzy MCDM model for suitable turbine suppliers in wind power energy projects. The results of this study can be used as references for experts in deciding on a suitable wind turbine supplier in other countries as well as in other renewable energy projects.
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PublicationFuzzy MCDM Model for Selection of Infectious Waste Management Contractors( 2022)Healthcare supply chains are under pressure to drive down costs because of digital business, shifting customer needs and new competition. Medical waste generated from medical facilities includes medical activities and daily-life activities of patients and their family members. According to statistics of the Department of Health EnvironmentalManagement, Vietnam currently has more than 13,500 medical facilities, including hospitals from central to provincial and district levels and private hospitals and medical facilities. Preventive medicine generates about 590 tons of medical waste/day and is estimated to be about 800 tons/day. Medical waste includes ordinary medical waste and hazardous medical waste; in which ordinary medical waste accounts for about 80%–90%, only about 10%–20% is hazardous medical waste including infectious waste and non-infectious hazardous waste. This is an environmental and occupational health issue that needs attention in developing countries like Vietnam. Handling large amounts of medical waste to ensure environmental and personal hygiene, doing so inefficiently creates potential hazards to the environment and increases operating costs. However, hospitals lack objective criteria and methods to evaluate and select the most optimal infectious medical waste, relying instead on their own subjective assessment and prior experience. Therefore, the author proposed a fuzzy multicriteria decision making (MCDM) model including Fuzzy Analytic hierarchy process (FAHP) and the Weighted Aggregated Sum-Product Assessment (WASPAS) for infectious medical waste contractors’ selection in this research. The proposed FuzzyMCDMmethod is in-tended to provide a more efficient, accurate method in the selection of infectious medical waste contractors than subjective assessment methods, thus reduce potential risks to hospitals. The results of this study can be applied to evaluate and select contractors in other industries.
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PublicationSolar Energy Deployment for the Sustainable Future of Vietnam: Hybrid SWOC-FAHP-WASPAS Analysis( 2022)In recent years, solar power has developed significantly in Vietnam, making an important contribution to ensuring energy conservation and decreasing greenhouse gas exposure. Recently, Vietnam has experienced impressive growth in the solar and wind energy sectors, showing the high potential of using renewable electricity in addressing energy needs. The target of this study was to construct a fuzzy multicriteria decision-making, model including strengths-weaknesses-opportunities-challenges (SWOC) analysis, the fuzzy analytic hierarchy process (F-AHP) model, and the weighted aggregates sum product assessment (WASPAS) model, to select the location of a solar power plant in south Vietnam. The proposed fuzzy multicriteria decision-making model (MCDM) model is the first solar power plant location selection in southern Vietnam that utilizes literature reviews and expert interviews. Moreover, this is the first study to provide a case study on evaluating locations during solar power plant location selection that utilizes a combination of the SWOC, FAHP, and WASPAS models. The findings of this study provide valuable knowledge for the assessment and selection of suitable locations for renewable energy projects, including both solar power energy projects and other renewable energy projects.
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PublicationFuzzy Multi-Criteria Decision Making for Solar Power Plant Location Selection( 2022)Vietnam is one of Southeast Asian countries with a rapid GDP growth rate, ranging from 6.5% to 7% annually, leading to an average increase in energy demand of 11% per year. This demand createsmany new opportunities in the energy industry, especially renewable energy, to ensure sustainable development in the future for the country with applications of solar energy growing at the present, and other opportunities to expand in the future. In Vietnam, thanks to favorable weather, climate, terrain characteristics and many preferential support policies, there are many great opportunities in the field of solar energy exploitation and application. Location selection is an important problem in all renewable energy projects. Therefore, the author proposed a fuzzy Multi-criteria Decision-Making Model (MCDM)model for solar power plant location selection in this study, and as a result, location 5 is the optimal solution. The contribution of this study is to propose a MCDM for solar power plant location selection in Vietnam under fuzzy environmental conditions.