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An input-output based net-energy assessment of an electricity supply industry

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  • Palmer, Graham

Abstract

Electricity systems process and upgrade crude feedstock energy from the natural environment using high quality energy inputs, including diesel and electricity. The ratio of electricity output to the energy inputs is termed the energy-return-on-investment (EROI) and may be an important metric linking energy consumption and standard of living. Environmentally extended input-output analysis (EEIOA) can be used to determine the energy flows through an economy with a monetary use-table and a satellite energy account. This study applies an EEIOA analysis to the Australian electricity supply industry, disaggregating the feedstock from the energy inputs, and further disaggregating electricity generation from transmission, distribution and on-selling. We calculated the system EROI at 40:1 for 2013–14. The electricity generation industry is energetically economic, in the sense that a relatively small energy input leverages a much greater magnitude of electricity generation and distribution. However, the leveraging has been achieved at the expense of a high feedstock extraction rate and commensurate emissions. We find that the industry is cost constrained rather than EROI constrained. This is the first study to examine the net-energy of electricity at a system level, and establishes a baseline for exploring future low-emissions scenarios.

Suggested Citation

  • Palmer, Graham, 2017. "An input-output based net-energy assessment of an electricity supply industry," Energy, Elsevier, vol. 141(C), pages 1504-1516.
  • Handle: RePEc:eee:energy:v:141:y:2017:i:c:p:1504-1516
    DOI: 10.1016/j.energy.2017.11.072
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    1. Jeppesen, M. & Brear, M.J. & Chattopadhyay, D. & Manzie, C. & Dargaville, R. & Alpcan, T., 2016. "Least cost, utility scale abatement from Australia's NEM (National Electricity Market). Part 1: Problem formulation and modelling," Energy, Elsevier, vol. 101(C), pages 606-620.
    2. Devin Moeller & David Murphy, 2016. "Net Energy Analysis of Gas Production from the Marcellus Shale," Biophysical Economics and Resource Quality, Springer, vol. 1(1), pages 1-13, May.
    3. Lightfoot, H. Douglas, 2007. "Understand the three different scales for measuring primary energy and avoid errors," Energy, Elsevier, vol. 32(8), pages 1478-1483.
    4. Brear, M.J. & Jeppesen, M. & Chattopadhyay, D. & Manzie, C. & Alpcan, T. & Dargaville, R., 2016. "Least cost, utility scale abatement from Australia's NEM (National Electricity Market). Part 2: Scenarios and policy implications," Energy, Elsevier, vol. 101(C), pages 621-628.
    5. Common, M. S. & Salma, U., 1992. "Accounting for changes in Australian carbon dioxide emissions," Energy Economics, Elsevier, vol. 14(3), pages 217-225, July.
    6. Lenzen, Manfred & Wachsmann, Ulrike, 2004. "Wind turbines in Brazil and Germany: an example of geographical variability in life-cycle assessment," Applied Energy, Elsevier, vol. 77(2), pages 119-130, February.
    7. Lenzen, Manfred, 1998. "Primary energy and greenhouse gases embodied in Australian final consumption: an input-output analysis," Energy Policy, Elsevier, vol. 26(6), pages 495-506, May.
    8. Wu, X.D. & Xia, X.H. & Chen, G.Q. & Wu, X.F. & Chen, B., 2016. "Embodied energy analysis for coal-based power generation system-highlighting the role of indirect energy cost," Applied Energy, Elsevier, vol. 184(C), pages 936-950.
    9. Blakers, Andrew & Lu, Bin & Stocks, Matthew, 2017. "100% renewable electricity in Australia," Energy, Elsevier, vol. 133(C), pages 471-482.
    10. Fares, Robert L. & King, Carey W., 2017. "Trends in transmission, distribution, and administration costs for U.S. investor-owned electric utilities," Energy Policy, Elsevier, vol. 105(C), pages 354-362.
    11. Arvesen, Anders & Hertwich, Edgar G., 2015. "More caution is needed when using life cycle assessment to determine energy return on investment (EROI)," Energy Policy, Elsevier, vol. 76(C), pages 1-6.
    12. Lenzen, Manfred & McBain, Bonnie & Trainer, Ted & Jütte, Silke & Rey-Lescure, Olivier & Huang, Jing, 2016. "Simulating low-carbon electricity supply for Australia," Applied Energy, Elsevier, vol. 179(C), pages 553-564.
    13. Carey W. King & John P. Maxwell & Alyssa Donovan, 2015. "Comparing World Economic and Net Energy Metrics, Part 1: Single Technology and Commodity Perspective," Energies, MDPI, vol. 8(11), pages 1-26, November.
    14. Hall, Charles A.S. & Lambert, Jessica G. & Balogh, Stephen B., 2014. "EROI of different fuels and the implications for society," Energy Policy, Elsevier, vol. 64(C), pages 141-152.
    15. Dale, M. & Krumdieck, S. & Bodger, P., 2012. "Global energy modelling — A biophysical approach (GEMBA) Part 2: Methodology," Ecological Economics, Elsevier, vol. 73(C), pages 158-167.
    16. Cleveland, Cutler J. & Kaufmann, Robert K. & Stern, David I., 2000. "Aggregation and the role of energy in the economy," Ecological Economics, Elsevier, vol. 32(2), pages 301-317, February.
    17. King, Carey W., 2014. "Matrix method for comparing system and individual energy return ratios when considering an energy transition," Energy, Elsevier, vol. 72(C), pages 254-265.
    18. Carey W. King & John P. Maxwell & Alyssa Donovan, 2015. "Comparing World Economic and Net Energy Metrics, Part 2: Total Economy Expenditure Perspective," Energies, MDPI, vol. 8(11), pages 1-22, November.
    19. Dale, M. & Krumdieck, S. & Bodger, P., 2012. "Global energy modelling — A biophysical approach (GEMBA) part 1: An overview of biophysical economics," Ecological Economics, Elsevier, vol. 73(C), pages 152-157.
    20. Lambert, Jessica G. & Hall, Charles A.S. & Balogh, Stephen & Gupta, Ajay & Arnold, Michelle, 2014. "Energy, EROI and quality of life," Energy Policy, Elsevier, vol. 64(C), pages 153-167.
    21. Brandt, Adam R. & Dale, Michael & Barnhart, Charles J., 2013. "Calculating systems-scale energy efficiency and net energy returns: A bottom-up matrix-based approach," Energy, Elsevier, vol. 62(C), pages 235-247.
    22. Adam R. Brandt & Michael Dale, 2011. "A General Mathematical Framework for Calculating Systems-Scale Efficiency of Energy Extraction and Conversion: Energy Return on Investment (EROI) and Other Energy Return Ratios," Energies, MDPI, vol. 4(8), pages 1-35, August.
    23. Kubiszewski, Ida & Cleveland, Cutler J. & Endres, Peter K., 2010. "Meta-analysis of net energy return for wind power systems," Renewable Energy, Elsevier, vol. 35(1), pages 218-225.
    24. Carneiro, Maria Luisa N.M. & Pradelle, Florian & Braga, Sergio L. & Gomes, Marcos Sebastião P. & Martins, Ana Rosa F.A. & Turkovics, Franck & Pradelle, Renata N.C., 2017. "Potential of biofuels from algae: Comparison with fossil fuels, ethanol and biodiesel in Europe and Brazil through life cycle assessment (LCA)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 632-653.
    25. Graham Treloar, 1997. "Extracting Embodied Energy Paths from Input-Output Tables: Towards an Input-Output-based Hybrid Energy Analysis Method," Economic Systems Research, Taylor & Francis Journals, vol. 9(4), pages 375-391.
    26. Carey W. King, 2015. "Comparing World Economic and Net Energy Metrics, Part 3: Macroeconomic Historical and Future Perspectives," Energies, MDPI, vol. 8(11), pages 1-24, November.
    27. 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.
    28. Graham Palmer, 2017. "A Framework for Incorporating EROI into Electrical Storage," Biophysical Economics and Resource Quality, Springer, vol. 2(2), pages 1-19, June.
    29. Graham J. Treloar & Peter E.D. Love & Gary D. Holt, 2001. "Using national input/output data for embodied energy analysis of individual residential buildings," Construction Management and Economics, Taylor & Francis Journals, vol. 19(1), pages 49-61, January.
    30. Lina I. Brand-Correa & Paul E. Brockway & Claire L. Copeland & Timothy J. Foxon & Anne Owen & Peter G. Taylor, 2017. "Developing an Input-Output Based Method to Estimate a National-Level Energy Return on Investment (EROI)," Energies, MDPI, vol. 10(4), pages 1-21, April.
    31. Raugei, Marco & Leccisi, Enrica, 2016. "A comprehensive assessment of the energy performance of the full range of electricity generation technologies deployed in the United Kingdom," Energy Policy, Elsevier, vol. 90(C), pages 46-59.
    32. Kenneth E. Train, 1991. "Optimal Regulation: The Economic Theory of Natural Monopoly," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262200848, April.
    33. Carey W. King & Charles A.S. Hall, 2011. "Relating Financial and Energy Return on Investment," Sustainability, MDPI, vol. 3(10), pages 1-23, October.
    34. Elliston, Ben & MacGill, Iain & Diesendorf, Mark, 2014. "Comparing least cost scenarios for 100% renewable electricity with low emission fossil fuel scenarios in the Australian National Electricity Market," Renewable Energy, Elsevier, vol. 66(C), pages 196-204.
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