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Simulation of the Growth Potential of Sugarcane as an Energy Crop Based on the APSIM Model

Author

Listed:
  • Ting Peng

    (Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    These authors contributed equally to this work.)

  • Jingying Fu

    (Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    These authors contributed equally to this work.)

  • Dong Jiang

    (Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Land & Resources, Beijing 100101, China)

  • Jinshuang Du

    (Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

Research on the development of plants grown for energy purposes is important for ensuring the global energy supply and reducing greenhouse gas emissions, and simulation is an important method to study its potential. This paper evaluated the marginal land that could be used to grow sugarcane in the Guangxi Zhuang Autonomous Region. Based on the meteorological data from 2009 to 2017 in this region and field observations from sugarcane plantations, the sensitivity of the APSIM (Agricultural Production Systems sIMulator) model parameters was analyzed by an extended Fourier amplitude sensitivity test, and the APSIM model was validated for sugarcane phenology and yields. During the process of model validation, the value of the determination coefficient R 2 of the observed and simulated values was between 0.76 and 0.91, and the consistency index D was between 0.91 and 0.97, indicating a good fit. On this basis, the APSIM sugarcane model was used to simulate the sugarcane production potential of the marginal land on a surface scale, and the distribution pattern of sugarcane production potential in the marginal land was obtained. The simulation results showed that if sugarcane was planted as an energy crop on the marginal land in Guangxi, it would likely yield approximately 42,522.05 × 10 4 t of cane stalks per year. It was estimated that the sugarcane grown on the marginal land plus 50% of the sugarcane grown on the cropland would be sufficient to produce approximately 3847.37 × 10 4 t of ethanol fuel. After meeting the demands for vehicle ethanol fuel in Guangxi, 3808.14 × 10 4 t of ethanol fuel would remain and could be exported to the ASEAN (Association of Southeast Asian Nations).

Suggested Citation

  • Ting Peng & Jingying Fu & Dong Jiang & Jinshuang Du, 2020. "Simulation of the Growth Potential of Sugarcane as an Energy Crop Based on the APSIM Model," Energies, MDPI, vol. 13(9), pages 1-20, May.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:9:p:2173-:d:353165
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    References listed on IDEAS

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    1. Rodriguez, Renata del G. & Scanlon, Bridget R. & King, Carey W. & Scarpare, Fabio V. & Xavier, Alexandre C. & Pruski, Fernando F., 2018. "Biofuel-water-land nexus in the last agricultural frontier region of the Brazilian Cerrado," Applied Energy, Elsevier, vol. 231(C), pages 1330-1345.
    2. Saltelli, Andrea & Ratto, Marco & Tarantola, Stefano & Campolongo, Francesca, 2006. "Sensitivity analysis practices: Strategies for model-based inference," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1109-1125.
    3. Wei-Hsin Chen & Keat Teong Lee & Hwai Chyuan Ong, 2019. "Biofuel and Bioenergy Technology," Energies, MDPI, vol. 12(2), pages 1-12, January.
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