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Scenario analysis of bioenergy resources and CO2 emissions with a global land use and energy model


  • Yamamoto, Hiromi
  • Yamaji, Kenji
  • Fujino, Junichi


The purpose of the present study is to evaluate bioenergy supply potentials, land use changes, and CO2 emissions in the world, using a global land use and energy model (GLUE) including land use competitions and overall biomass flows. Through a set of simulations, the following results were obtained: (1) Supply potentials of energy crops produced from surplus arable lands will be strongly affected by food supply and demand parameters in the future, such as animal food demand per capita. (2) The policy option, i.e. the world, large-scale introduction of modern fuelwood by felling and planting in existing forest, will cause drastic reduction of the mature forest area but will cause little reduction of the accumulated CO2 emissions coming from both energy and forest sectors. One reason for this is that the additional CO2 emissions owing to the land use conversion from the mature forest to the growing forest will partly cancel out the CO2 reduction owing to the fuel substitution from fossil fuels to fuelwood. (3) When energy recovery of paper scrap is given priority to material recycling, bioenergy will substitute partly for fossil fuels; however the decrease in recycled paper scrap will cause an increase in roundwood felling demand. Hence, the results will be similar to those of (2).

Suggested Citation

  • Yamamoto, Hiromi & Yamaji, Kenji & Fujino, Junichi, 2000. "Scenario analysis of bioenergy resources and CO2 emissions with a global land use and energy model," Applied Energy, Elsevier, vol. 66(4), pages 325-337, August.
  • Handle: RePEc:eee:appene:v:66:y:2000:i:4:p:325-337

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    References listed on IDEAS

    1. Edmonds, Jae & Reilly, John, 1983. "A long-term global energy- economic model of carbon dioxide release from fossil fuel use," Energy Economics, Elsevier, vol. 5(2), pages 74-88, April.
    2. Yamamoto, H. & Yamaji, K. & Fujino, J., 1999. "Evaluation of bioenergy resources with a global land use and energy model formulated with SD technique," Applied Energy, Elsevier, vol. 63(2), pages 101-113, June.
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    Cited by:

    1. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    2. Lam, Hon Loong & Varbanov, Petar Sabev & Klemes, Jirí Jaromír, 2011. "Regional renewable energy and resource planning," Applied Energy, Elsevier, vol. 88(2), pages 545-550, February.
    3. Yue, Ting & Long, Ruyin & Chen, Hong & Zhao, Xin, 2013. "The optimal CO2 emissions reduction path in Jiangsu province: An expanded IPAT approach," Applied Energy, Elsevier, vol. 112(C), pages 1510-1517.
    4. Johnston, Craig M.T. & van Kooten, G. Cornelis, 2016. "Global trade impacts of increasing Europe's bioenergy demand," Journal of Forest Economics, Elsevier, vol. 23(C), pages 27-44.
    5. repec:gam:jeners:v:9:y:2016:i:3:p:155:d:64964 is not listed on IDEAS
    6. Liu, Tingting & McConkey, Brian & Huffman, Ted & Smith, Stephen & MacGregor, Bob & Yemshanov, Denys & Kulshreshtha, Suren, 2014. "Potential and impacts of renewable energy production from agricultural biomass in Canada," Applied Energy, Elsevier, vol. 130(C), pages 222-229.
    7. Panichelli, Luis & Gnansounou, Edgard, 2015. "Impact of agricultural-based biofuel production on greenhouse gas emissions from land-use change: Key modelling choices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 344-360.
    8. Teijo Palander & Kalle Kärhä, 2016. "Adaptive Procurement Guidelines for Automatic Selection of Renewable Forest Energy Sources within a Sustainable Energy Production System," Energies, MDPI, Open Access Journal, vol. 9(3), pages 1-10, March.
    9. Kenneth Gillingham & Steven Smith & Ronald Sands, 2008. "Impact of bioenergy crops in a carbon dioxide constrained world: an application of the MiniCAM energy-agriculture and land use model," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 13(7), pages 675-701, August.
    10. Laha, Priyanka & Chakraborty, Basab, 2017. "Energy model – A tool for preventing energy dysfunction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 95-114.


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