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A standardized well-to-wheel model for the assessment of bioethanol and hydrogen from cellulosic biomass

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  • El-Houjeiri, Hassan M.
  • Field, Robert W.

Abstract

The well-to-wheel (WtW) results of biomass-based chains are found to be significantly sensitive to changes in the elements of the chain model such as the land use change. Our new standardization model is based on the conviction that the synthesis of a statistical aggregate of the possibilities that are defined by the major models in the field including GREET and GEMIS would build reliability into the result by buffering against the changes in the elements of the chain model. In this paper we assess a chosen set of biomass-based chains in terms of energy and GHG emissions using the innovative concept of the standardization transport model (STM). Hydrogen was found to be very attractive with the use of waste wood. On the other hand, sugar ethanol was found to be a promising fuel for the reduction of GHG emissions. Unfavorable land use changes and high fertilizers use should be avoided to maximize confidence in significant reductions from sugar ethanol.

Suggested Citation

  • El-Houjeiri, Hassan M. & Field, Robert W., 2012. "A standardized well-to-wheel model for the assessment of bioethanol and hydrogen from cellulosic biomass," Energy Policy, Elsevier, vol. 48(C), pages 487-497.
    • Handle: RePEc:eee:enepol:v:48:y:2012:i:c:p:487-497
    DOI: 10.1016/j.enpol.2012.05.048
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    References listed on IDEAS

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    1. Delucchi, Mark, 2003. "A Lifecycle Emissions Model (LEM): Lifecycle Emissions from Transportation Fuels, Motor Vehicles, Transportation Modes, Electricity Use, Heating and Cooking Fuels, and Materials," Institute of Transportation Studies, Working Paper Series qt9vr8s1bb, Institute of Transportation Studies, UC Davis.
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    Cited by:

    1. Santos, Andreia & Carvalho, Ana & Barbosa-Póvoa, Ana Paula & Marques, Alexandra & Amorim, Pedro, 2019. "Assessment and optimization of sustainable forest wood supply chains – A systematic literature review," Forest Policy and Economics, Elsevier, vol. 105(C), pages 112-135.

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