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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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    4. 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.
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    8. Chen, Xiaoguang, 2016. "Economic potential of biomass supply from crop residues in China," Applied Energy, Elsevier, vol. 166(C), pages 141-149.
    9. Mingming Zhang & Dequn Zhou & Hao Ding & Jingliang Jin, 2016. "Biomass Power Generation Investment in China: A Real Options Evaluation," Sustainability, MDPI, vol. 8(6), pages 1-22, June.
    10. Zhang, Xingping & Luo, Kaiyan & Tan, Qinliang, 2016. "A feedstock supply model integrating the official organization for China's biomass generation plants," Energy Policy, Elsevier, vol. 97(C), pages 276-290.
    11. Meng, Jing & Liu, Junfeng & Guo, Shan & Huang, Ye & Tao, Shu, 2016. "The impact of domestic and foreign trade on energy-related PM emissions in Beijing," Applied Energy, Elsevier, vol. 184(C), pages 853-862.
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    13. Wang, Wenyan & Ouyang, Wei & Hao, Fanghua & Liu, Genyuan, 2017. "Temporal-spatial variation analysis of agricultural biomass and its policy implication as an alternative energy in northeastern China," Energy Policy, Elsevier, vol. 109(C), pages 337-349.
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    15. 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.

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