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Marginal greenhouse gas emissions displacement of wind power in Great Britain

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  • Thomson, R. Camilla
  • Harrison, Gareth P.
  • Chick, John P.

Abstract

There is considerable uncertainty over the effect of wind power on the operation of power systems, and the consequent greenhouse gas (GHG) emissions displacement; this is used to project emissions reductions that inform energy policy. Currently, it is approximated as the average emissions of the whole system, despite an acknowledgement that wind will actually displace only the generators operating on the margin. This article presents a methodology to isolate the marginal emissions displacement of wind power from historical empirical data, taking into account the impact on the operating efficiency of coal and CCGT plants. For Great Britain over 2009–2014, it was found that marginal emissions displacement has generally been underestimated with, for example, the emissions displacement factor for wind being 21% higher than that the average emissions factor in 2010. The actual displacement depends upon the relative merit of coal and CCGT, with a greater discrepancy between marginal displacement and average emissions during more normal system operation, suggesting that policies to penalise high-carbon generation can increase the effectiveness of wind at reducing GHG emissions. Furthermore, it was also identified that wind power is almost as technically effective as demand-side reductions at decreasing GHG emissions from power generation.

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  • Thomson, R. Camilla & Harrison, Gareth P. & Chick, John P., 2017. "Marginal greenhouse gas emissions displacement of wind power in Great Britain," Energy Policy, Elsevier, vol. 101(C), pages 201-210.
    • Handle: RePEc:eee:enepol:v:101:y:2017:i:c:p:201-210
    DOI: 10.1016/j.enpol.2016.11.012
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    1. Orissa Government, 2013. "Odisha Budget 2013-14: Part 1 Agriculture," Working Papers id:5260, eSocialSciences.
    2. Smith, Jo & Nayak, Dali Rani & Smith, Pete, 2014. "Wind farms on undegraded peatlands are unlikely to reduce future carbon emissions," Energy Policy, Elsevier, vol. 66(C), pages 585-591.
    3. Wheatley, Joseph, 2013. "Quantifying CO2 savings from wind power," Energy Policy, Elsevier, vol. 63(C), pages 89-96.
    4. Gutiérrez-Martín, F. & Da Silva-Álvarez, R.A. & Montoro-Pintado, P., 2013. "Effects of wind intermittency on reduction of CO2 emissions: The case of the Spanish power system," Energy, Elsevier, vol. 61(C), pages 108-117.
    5. Bettle, R. & Pout, C.H. & Hitchin, E.R., 2006. "Interactions between electricity-saving measures and carbon emissions from power generation in England and Wales," Energy Policy, Elsevier, vol. 34(18), pages 3434-3446, December.
    6. Clancy, J.M. & Gaffney, F. & Deane, J.P. & Curtis, J. & Ó Gallachóir, B.P., 2015. "Fossil fuel and CO2 emissions savings on a high renewable electricity system – A single year case study for Ireland," Energy Policy, Elsevier, vol. 83(C), pages 151-164.
    7. Hawkes, A.D., 2010. "Estimating marginal CO2 emissions rates for national electricity systems," Energy Policy, Elsevier, vol. 38(10), pages 5977-5987, October.
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