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Selecting the Raw Material Plant of Biomass Power in the Northeastern Region of Thailand Using AHP and Fuzzy TOPSIS

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Renewable Energy Systems and Sources (ICRCE 2023)

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Abstract

The world is facing an energy crisis. Many nations have changed to producing power using a variety of renewable energy sources, including agricultural waste (biomass). Raw materials are one of the key elements for biomass power plants and must be properly chosen. This paper is the application of the Analytic Hierarchical Process (AHP) and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) for selecting the raw material plant of biomass power in the northeastern region of Thailand. The AHP is conducted to calculate the weights, and the fuzzy TOPSIS is conducted to rank three biomass raw material alternative plants based on the criteria. There are eight criteria that affect the success of biomass power plants: price, shipping costs, potential, diversity, stability, quality, and raw water. The result shows that specialists are most concerned about price and quality. Therefore, Plant A is ranked first in this study, which is in line with the major criteria of concern. It is reasonable and related because the price of raw materials must be suitable for the quality of the raw materials.

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Acknowledgements

This research was financially supported in part by Department of Industrial Engineering and Management, Faculty of Engineering and Industrial Technology, Silpakorn University.

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Correspondence to Noppakun Sangkhiew .

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Sangkhiew, N., Pornsing, C., Ohmori, S., Jomtong, P. (2023). Selecting the Raw Material Plant of Biomass Power in the Northeastern Region of Thailand Using AHP and Fuzzy TOPSIS. In: Kolhe, M.L. (eds) Renewable Energy Systems and Sources. ICRCE 2023. Springer, Singapore. https://doi.org/10.1007/978-981-99-6290-7_6

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  • DOI: https://doi.org/10.1007/978-981-99-6290-7_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6289-1

  • Online ISBN: 978-981-99-6290-7

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