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Spatial planning framework for biomass resources for power production at regional level: A case study for Fujian Province, China

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  • Sun, Yanwei
  • Wang, Run
  • Liu, Jian
  • Xiao, Lishan
  • Lin, Yanjie
  • Kao, William

Abstract

Effective spatial planning is crucial for cost-effectively and sustainably developing biomass energy resources due to the diffuse nature of biomass and high transportation cost. Using the spatial analysis technology, economic models and scenario analysis, this paper presents a spatial planning framework to identify the appropriate developing areas of biomass energy at regional level. The methodology is applied in a case study of Fujian Province, China. Firstly, spatial distribution of two kinds of biomass resources and the technical potential, i.e. the amount of power generation from agricultural and forestry residues in each supply area, were estimated by incorporating the spatial data and the statistical data. The results indicate that total technical potential of agricultural and forestry residues is estimated at 25.13TWhy−1, equivalent to approximately 19% of total electricity consumption in Fujian in 2010. In the second step, the economic analysis assesses the cost of biomass generation for each supply area on the basis of current market conditions. Ranking of the supply areas is then performed by using the priority development index (PDI), which can measure the priority of each biomass supply area by combining several influencing indicators. Finally, the selection of supply areas for power plants can be carried out according to its order in PDI until the total planed capacity in the region is met. The priority of the subregions and the corresponding cost of biomass generation for different planning scenarios can be explicitly visualized. The methodology can be applied to a wide area and can support the local authorities to define and implement a strategy for future biomass energy development.

Suggested Citation

  • Sun, Yanwei & Wang, Run & Liu, Jian & Xiao, Lishan & Lin, Yanjie & Kao, William, 2013. "Spatial planning framework for biomass resources for power production at regional level: A case study for Fujian Province, China," Applied Energy, Elsevier, vol. 106(C), pages 391-406.
    • Handle: RePEc:eee:appene:v:106:y:2013:i:c:p:391-406
    DOI: 10.1016/j.apenergy.2013.02.003
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    8. Devlin, Ger & Talbot, Bruce, 2014. "Deriving cooperative biomass resource transport supply strategies in meeting co-firing energy regulations: A case for peat and wood fibre in Ireland," Applied Energy, Elsevier, vol. 113(C), pages 1700-1709.
    9. Gautam, Shuva & LeBel, Luc & Carle, Marc-André, 2017. "Supply chain model to assess the feasibility of incorporating a terminal between forests and biorefineries," Applied Energy, Elsevier, vol. 198(C), pages 377-384.
    10. Lin, Boqiang & He, Jiaxin, 2017. "Is biomass power a good choice for governments in China?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1218-1230.
    11. Avinash Bharti & Kunwar Paritosh & Venkata Ravibabu Mandla & Aakash Chawade & Vivekanand Vivekanand, 2021. "GIS Application for the Estimation of Bioenergy Potential from Agriculture Residues: An Overview," Energies, MDPI, vol. 14(4), pages 1-15, February.
    12. Zhao, Guanhan & Jiang, Peng & Zhang, Hao & Li, Lin & Ji, Tuo & Mu, Liwen & Lu, Xiaohua & Zhu, Jiahua, 2024. "Mapping out the regional low-carbon and economic biomass supply chain by aligning geographic information systems and life cycle assessment models," Applied Energy, Elsevier, vol. 369(C).
    13. Costa, Fabrício Rodrigues & Ribeiro, Carlos Antonio Alvares Soares & Marcatti, Gustavo Eduardo & Lorenzon, Alexandre Simões & Teixeira, Thaisa Ribeiro & Domingues, Getulio Fonseca & Castro, Nero Lemos, 2020. "GIS applied to location of bioenergy plants in tropical agricultural areas," Renewable Energy, Elsevier, vol. 153(C), pages 911-918.
    14. Chen, Xiaoguang, 2016. "Economic potential of biomass supply from crop residues in China," Applied Energy, Elsevier, vol. 166(C), pages 141-149.
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