LAPSE:2019.0931
Published Article
LAPSE:2019.0931
A Model for Optimizing Location Selection for Biomass Energy Power Plants
Chia-Nan Wang, Tsang-Ta Tsai, Ying-Fang Huang
August 8, 2019
In addition to its potential for wave power, wind power, hydropower, and solar power, it can be said that Vietnam is a country with great potential for biomass energy derived from agricultural waste, garbage, and urban wastewater, which are resources widely available across the country. This huge amount of biomass, however, if left untreated, could become a major source of pollution and cause serious impacts on ecosystems (soil, water, and air), as well as on human health. In this research, the authors present a fuzzy multicriteria decision-making model (FMCDM) for optimizing the site selection process for biomass power plants. All of the criteria affecting location selection are identified by experts and literature reviews; in addition, the fuzzy analytic hierarchy process (FAHP) method was utilized so as to identify the weight of all of the criteria in the second stage. Furthermore, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) is applied for ranking potential locations in the final stage of this research. As a result, Long An (DMU/005) was found to be the best location for building biomass energy in Vietnam. The main contributions of this work include modeling the site selection decision process under fuzzy environment conditions. The proposed approaches also can address the complex problems in site selection; it is also a flexible design model for considering the evaluation criteria, and is applicable to location selection for other industries.
Keywords
biomass energy, FAHP, FMCDM, MCDM, Optimization, site selection, TOPSIS
Suggested Citation
Wang CN, Tsai TT, Huang YF. A Model for Optimizing Location Selection for Biomass Energy Power Plants. (2019). LAPSE:2019.0931
Author Affiliations
Wang CN: National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan
Tsai TT: National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan
Huang YF: National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan
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Journal Name
Processes
Volume
7
Issue
6
Article Number
E353
Year
2019
Publication Date
2019-06-08
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr7060353, Publication Type: Journal Article
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LAPSE:2019.0931
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doi:10.3390/pr7060353
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Aug 8, 2019
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Aug 8, 2019
 
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Original Submitter
Calvin Tsay
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