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Order from Chaos: A Preliminary Protocol for Determining the EROI of Fuels

Author

Listed:
  • David J. Murphy

    (Department of Geography and the Institute for the Study of the Environment, Sustainability, and Energy, Northern Illinois University, Dekalb, IL 60115, USA)

  • Charles A.S. Hall

    (Department of Environmental and Forest Biology and the Program in Environmental Science, College of Environmental Science and Forestry, Syracuse, NY 13210, USA)

  • Michael Dale

    (Global Climate and Energy Project (GCEP), Stanford University, Palo Alto, CA 94305, USA)

  • Cutler Cleveland

    (Geography and Environment, Boston University, Boston MA 02215, USA)

Abstract

The main objective of this manuscript is to provide a formal methodology, structure, and nomenclature for EROI analysis that is both consistent, so that all EROI numbers across various processes can be compared, and also flexible, so that changes or additions to the universal formula can focus analyses on specific areas of concern. To accomplish this objective we address four areas that are of particular interest within EROI analysis: (1) boundaries of the system under analysis, (2) energy quality corrections, (3) energy-economic conversions, and (4) alternative EROI statistics. Lastly, we present step-by-step instructions outlining how to perform an EROI analysis.

Suggested Citation

  • David J. Murphy & Charles A.S. Hall & Michael Dale & Cutler Cleveland, 2011. "Order from Chaos: A Preliminary Protocol for Determining the EROI of Fuels," Sustainability, MDPI, vol. 3(10), pages 1-20, October.
  • Handle: RePEc:gam:jsusta:v:3:y:2011:i:10:p:1888-1907:d:14372
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    References listed on IDEAS

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    6. Ruth, Matthias, 1995. "Thermodynamic constraints on optimal depletion of copper and aluminum in the United States: a dynamic model of substitution and technical change," Ecological Economics, Elsevier, vol. 15(3), pages 197-213, December.
    7. Lynch, Michael C., 2002. "Forecasting oil supply: theory and practice," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(2), pages 373-389.
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