The Environmental Impacts and Allocation Methods Used in LCA Studies of Vegetable Oil-Based Bio-diesels
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  • 作者:Rajeshwari Chatterjee ; Vinay Sharma ; Samrat Mukherjee
  • 关键词:LCA ; Jatropha ; Rapeseed ; Bio ; diesel ; Impact assessment ; Energy analysis
  • 刊名:Waste and Biomass Valorization
  • 出版年:2015
  • 出版时间:August 2015
  • 年:2015
  • 卷:6
  • 期:4
  • 页码:579-603
  • 全文大小:732 KB
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  • 作者单位:Rajeshwari Chatterjee (1)
    Vinay Sharma (2)
    Samrat Mukherjee (3)

    1. Birla Institute of Technology, Mesra, Ranchi, India
    2. Department of Production Engineering, Birla Institute of Technology, Ranchi, India
    3. Department of Physics, National Institute of Technology, Patna, Bihar, India
  • 刊物类别:Engineering
  • 刊物主题:Engineering, general
    Environment
    Waste Management and Waste Technology
    Industrial Pollution Prevention
    Renewable and Green Energy
    Environmental Engineering
  • 出版者:Springer Netherlands
  • ISSN:1877-265X
文摘
Life cycle assessment (LCA) is a tool to assess the environmental impacts and resources used during the life cycle of a product, i.e., from raw material acquisition, via production and use phases, to waste management. The methods of development in LCA have been strong, and the paper is aimed at providing a review of recent developments of LCA methods employed in the production of bio-diesel from various vegetable sources like Jatropha, palm, soybean, sunflower, canola and rapeseed. The essential features of LCA methods like the goal, scope definition and system boundaries have been reviewed and authors have mainly focussed on impact categories on environment and energy. The review also covers impact categories like human health, ecosystem quality and resource depletion. The interpretation of results indicates that the implication of LCA is strong in energy analysis of greenhouse gases (GHGs) and there is less GHG emission in second generation bio-diesel as compared to first generation. Some uncertainties and gaps in the application of LCA are identified and discussed. The uncertainties are mainly due to inconsistent choices across different allocation, system boundaries, time period in impact assessment and scope of the analysis. The uncertainties are dealt by tools like Monte Carlo simulations, fuzzy set theory etc.

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