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Temporal-spatial variation analysis of agricultural biomass and its policy implication as an alternative energy in northeastern China

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  • Wang, Wenyan
  • Ouyang, Wei
  • Hao, Fanghua
  • Liu, Genyuan

Abstract

Effective spatial-temporal analysis of the availability of agricultural biomass is crucial for cost-effective development of bioenergy. Using statistical data, simulation modeling, and a dynamic analysis framework, the authors assess the potential and distribution of regional agricultural biomass in Heilongjiang, China. The results indicate 32.48 × 106t of agricultural biomass were available in 2003; this soared to 77.13 × 106t in 2013. Gray correlation analysis demonstrated that precipitation, total population, mechanical power and agricultural planting structure largely influenced the availability of biomass resources. The support of corn oil storage plays an important role of agricultural planting structure. Statistical and Net Primary Production data were used to study the dynamic change in the availability of agricultural biomass. The growth rate of available biomass exceeded 2tkm−2y−1 in most areas of the Sanjiang Plain, and ranged from − 1.5 to 2.0tkm−2y−1 in the Songnen Plain. The establishment of a scientific resource management and scheduling platform is suggested to achieve the dynamic allocation and scheduling of agricultural biomass that will improve resource stability. The methods here can also be applied to other regions and provide baseline data for local authorities to further consider a strategy for bioenergy planning and development.

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  • 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.
    • Handle: RePEc:eee:enepol:v:109:y:2017:i:c:p:337-349
    DOI: 10.1016/j.enpol.2017.06.068
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    Cited by:

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    2. Han, Jiashi & Zhang, Lei & Li, Yang, 2022. "Spatiotemporal analysis of rural energy transition and upgrading in developing countries: The case of China," Applied Energy, Elsevier, vol. 307(C).
    3. Hongyun Han & Shu Wu, 2019. "Determinants of the Behavioral Lock-in of Rural Residents’ Direct Biomass Energy Consumption in China," Sustainability, MDPI, vol. 11(2), pages 1-25, January.
    4. Zhang, Bingquan & Xu, Jialu & Lin, Zhixian & Lin, Tao & Faaij, André P.C., 2021. "Spatially explicit analyses of sustainable agricultural residue potential for bioenergy in China under various soil and land management scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    5. Tumen Ozdil, N.F. & Caliskan, M., 2022. "Energy potential from biomass from agricultural crops: Development prospects of the Turkish bioeconomy," Energy, Elsevier, vol. 249(C).
    6. Junnian Song & Yang Pu & Wei Yang & Jingzheng Ren, 2019. "Highlighting Regional Energy-Economic-Environmental Benefits of Agricultural Bioresources Utilization: An Integrated Model from Life Cycle Perspective," Sustainability, MDPI, vol. 11(13), pages 1-18, July.
    7. Qing Guo & Wenlan You, 2023. "Evaluating the International Competitiveness of RCEP Countries’ Biomass Products in the Context of the New Development Paradigm," Sustainability, MDPI, vol. 15(5), pages 1-27, February.

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