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Two-Phase Approach for Designing Sustainable Biomass Supply Chains for Community-Scale Biomass Power Plants in Thailand

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  • Athipthep Boonman

    (The Joint Graduate School of Energy and Environment, King Mongkut’s University of Technology Thonburi, Bangkok 10140, Thailand
    Center of Excellence on Energy Technology and Environment (CEE), Ministry of Higher Education, Science, Research and Innovation (MHESI), Bangkok 10140, Thailand
    Agriculture, Forestry, and Ecosystem Services Research Group (AFE), Biodiversity and Natural Resources Programs (BNR), International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria)

  • Suneerat Fukuda

    (The Joint Graduate School of Energy and Environment, King Mongkut’s University of Technology Thonburi, Bangkok 10140, Thailand
    Center of Excellence on Energy Technology and Environment (CEE), Ministry of Higher Education, Science, Research and Innovation (MHESI), Bangkok 10140, Thailand)

  • Shubham Tiwari

    (Agriculture, Forestry, and Ecosystem Services Research Group (AFE), Biodiversity and Natural Resources Programs (BNR), International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria)

  • Florian Kraxner

    (Agriculture, Forestry, and Ecosystem Services Research Group (AFE), Biodiversity and Natural Resources Programs (BNR), International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria)

Abstract

This study proposes a novel two-phase model framework for designing sustainable biomass supply chains of Community-Scale Biomass Power Plants (CSBPPs) by optimization based on geospatial-based Multi-criteria Decision Making (MCDM), the Analytic Hierarchy Process (AHP) method and the Location–Allocation Model. Phase I involved land suitability criteria prioritization and suitable land area analysis. The location–allocation model was the main tool used in Phase II to identify optimal locations, followed by the analysis of the levelized cost of electricity (LCOE). The model optimized site location based on the availability (remaining) of local crop residues, electricity demand, road networks and other key criteria for power plant development, such as the location of substations and the location of existing power plants. The results show that the estimated total remaining crop residue potential in the EEC region was 2403 kt/year, which can generate approximately 34,156 TJ. The location–allocation model identified the top five locations for CSBPPs. The total required installed capacity of these five locations was approximately 100.23 MW in order to serve the district energy demand by the residential sector of 793.82 million (kWh/year). Assuming direct combustion-steam turbine technology with an installed capacity of 6–10 MW, the average LCOE was found to be in a range of $0.076 to $0.081 USD/kWh.

Suggested Citation

  • Athipthep Boonman & Suneerat Fukuda & Shubham Tiwari & Florian Kraxner, 2025. "Two-Phase Approach for Designing Sustainable Biomass Supply Chains for Community-Scale Biomass Power Plants in Thailand," Energies, MDPI, vol. 18(3), pages 1-16, January.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:3:p:520-:d:1574591
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    References listed on IDEAS

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    1. Höhn, J. & Lehtonen, E. & Rasi, S. & Rintala, J., 2014. "A Geographical Information System (GIS) based methodology for determination of potential biomasses and sites for biogas plants in southern Finland," Applied Energy, Elsevier, vol. 113(C), pages 1-10.
    2. Aragonés-Beltrán, Pablo & Chaparro-González, Fidel & Pastor-Ferrando, Juan-Pascual & Pla-Rubio, Andrea, 2014. "An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects," Energy, Elsevier, vol. 66(C), pages 222-238.
    3. Ueckerdt, Falko & Hirth, Lion & Luderer, Gunnar & Edenhofer, Ottmar, 2013. "System LCOE: What are the costs of variable renewables?," Energy, Elsevier, vol. 63(C), pages 61-75.
    4. Leduc, S. & Starfelt, F. & Dotzauer, E. & Kindermann, G. & McCallum, I. & Obersteiner, M. & Lundgren, J., 2010. "Optimal location of lignocellulosic ethanol refineries with polygeneration in Sweden," Energy, Elsevier, vol. 35(6), pages 2709-2716.
    5. Greening, Lorna A. & Bernow, Steve, 2004. "Design of coordinated energy and environmental policies: use of multi-criteria decision-making," Energy Policy, Elsevier, vol. 32(6), pages 721-735, April.
    6. Saeed Khojaste Effatpanah & Mohammad Hossein Ahmadi & Pasura Aungkulanon & Akbar Maleki & Milad Sadeghzadeh & Mohsen Sharifpur & Lingen Chen, 2022. "Comparative Analysis of Five Widely-Used Multi-Criteria Decision-Making Methods to Evaluate Clean Energy Technologies: A Case Study," Sustainability, MDPI, vol. 14(3), pages 1-33, January.
    7. Comber, Alexis & Dickie, Jennifer & Jarvis, Claire & Phillips, Martin & Tansey, Kevin, 2015. "Locating bioenergy facilities using a modified GIS-based location–allocation-algorithm: Considering the spatial distribution of resource supply," Applied Energy, Elsevier, vol. 154(C), pages 309-316.
    8. Kocoloski, Matt & Michael Griffin, W. & Scott Matthews, H., 2011. "Impacts of facility size and location decisions on ethanol production cost," Energy Policy, Elsevier, vol. 39(1), pages 47-56, January.
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