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Switching to efficient technologies in traditional biomass intensive countries: The resultant change in emissions

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  • Cutz, L.
  • Masera, O.
  • Santana, D.
  • Faaij, A.P.C.

Abstract

This paper aims to quantify the benefits of switching from a system dependent on traditional biomass to systems running on more efficient fuels and technologies. It is estimated that even when open fires burning fuelwood are replaced by improved cooking stoves (ICSs) and liquefied petroleum gas (LPG) stoves, and biomass is processed in dedicated biomass power plants, a net reduction in CO2 emissions is still obtained. The ICS/LPG stove/biomass combustion power plant configuration could provide an average net reduction of 84 kg-Ce/tDM. Meanwhile, a net reduction of 105 kg-Ce/tDM could be obtained when implementing a ICS/LPG stove/biomass gasification power plant scheme. Main factors influencing the net reduction of CO2 emissions are technology efficiency and the fraction of non-renewable fuelwood use.

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  • Cutz, L. & Masera, O. & Santana, D. & Faaij, A.P.C., 2017. "Switching to efficient technologies in traditional biomass intensive countries: The resultant change in emissions," Energy, Elsevier, vol. 126(C), pages 513-526.
    • Handle: RePEc:eee:energy:v:126:y:2017:i:c:p:513-526
    DOI: 10.1016/j.energy.2017.03.025
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    References listed on IDEAS

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    Cited by:

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    2. Kung, Chih-Chun, 2019. "A stochastic evaluation of economic and environmental effects of Taiwan's biofuel development under climate change," Energy, Elsevier, vol. 167(C), pages 1051-1064.
    3. Kung, Chih-Chun & Zhang, Ning & Choi, Yongrok & Xiong, Kai & Yu, Jiangli, 2019. "Effectiveness of crop residuals in ethanol and pyrolysis-based electricity production: A stochastic analysis under uncertain climate impacts," Energy Policy, Elsevier, vol. 125(C), pages 267-276.
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    5. Zhang, Kuan & Zhou, Bin & Li, Canbing & Voropai, Nikolai & Li, Jiayong & Huang, Wentao & Wang, Tao, 2021. "Dynamic modeling and coordinated multi-energy management for a sustainable biogas-dominated energy hub," Energy, Elsevier, vol. 220(C).
    6. Kung, Chih-Chun & Wu, Tao, 2021. "Influence of water allocation on bioenergy production under climate change: A stochastic mathematical programming approach," Energy, Elsevier, vol. 231(C).

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