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The influence of the instantaneous fuel mix for electricity generation on the corresponding emissions

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  • Voorspools, Kris R
  • D'haeseleer, William D

Abstract

Since it would be unwise to apply an environmental measure before its impact is estimated, tools are needed to simulate the system to which the measure is applied. In this paper, a tool and a methodology are discussed in order to simulate scenarios for demand and supply side options and to quantify the emissions and the energy use related to electricity generation. To supply the electricity demand, the composition of the active power system evidently changes with the variations in demand. The instantaneous composition of the power system is determined by the activation order (set by a chosen criterion) of all power plants. Because of their specific nature, some problems are dealt with separately in the model. Pumping plants are both customer (pump-mode) and provider (turbine-mode) of electric power. Therefore, they are not modeled as other plants, but as an adaptation in the demand pattern for other plants. Outages are mostly unpredictable but very important for the instantaneous energy use and emissions. Therefore, the model contains a component in which an average outage schedule can be calculated. The possible deviation of this average result is dealt with in the calculation of the uncertainties. Also, other parameters, like accidental unavailability of plants, human decisions in activation and deactivation of plants and the unpredictable availability of cogeneration units, are included in the calculation of the uncertainties.

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  • Voorspools, Kris R & D'haeseleer, William D, 2000. "The influence of the instantaneous fuel mix for electricity generation on the corresponding emissions," Energy, Elsevier, vol. 25(11), pages 1119-1138.
    • Handle: RePEc:eee:energy:v:25:y:2000:i:11:p:1119-1138
    DOI: 10.1016/S0360-5442(00)00029-3
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    References listed on IDEAS

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    1. Voorspools, Kris R. & Brouwers, Els A. & D'haeseleer, William D., 2000. "Energy content and indirect greenhouse gas emissions embedded in [`]emission-free' power plants: results for the Low Countries," Applied Energy, Elsevier, vol. 67(3), pages 307-330, November.
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    1. Hasanuzzaman, M. & Rahim, N.A. & Saidur, R. & Kazi, S.N., 2011. "Energy savings and emissions reductions for rewinding and replacement of industrial motor," Energy, Elsevier, vol. 36(1), pages 233-240.
    2. Hawkes, A.D., 2014. "Long-run marginal CO2 emissions factors in national electricity systems," Applied Energy, Elsevier, vol. 125(C), pages 197-205.
    3. Luickx, Patrick J. & Helsen, Lieve M. & D'haeseleer, William D., 2008. "Influence of massive heat-pump introduction on the electricity-generation mix and the GHG effect: Comparison between Belgium, France, Germany and The Netherlands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(8), pages 2140-2158, October.
    4. Voorspools, Kris R. & D'haeseleer, William D., 2000. "An evaluation method for calculating the emission responsibility of specific electric applications," Energy Policy, Elsevier, vol. 28(13), pages 967-980, November.
    5. Howard, B. & Waite, M. & Modi, V., 2017. "Current and near-term GHG emissions factors from electricity production for New York State and New York City," Applied Energy, Elsevier, vol. 187(C), pages 255-271.
    6. Haeseldonckx, Dries & D'haeseleer, William, 2008. "The environmental impact of decentralised generation in an overall system context," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(2), pages 437-454, February.
    7. Dios, M. & Souto, J.A. & Casares, J.J., 2013. "Experimental development of CO2, SO2 and NOx emission factors for mixed lignite and subbituminous coal-fired power plant," Energy, Elsevier, vol. 53(C), pages 40-51.
    8. Haeseldonckx, Dries & Peeters, Leen & Helsen, Lieve & D'haeseleer, William, 2007. "The impact of thermal storage on the operational behaviour of residential CHP facilities and the overall CO2 emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(6), pages 1227-1243, August.
    9. Biéron, M. & Le Dréau, J. & Haas, B., 2023. "Assessment of the marginal technologies reacting to demand response events: A French case-study," Energy, Elsevier, vol. 275(C).
    10. Psomopoulos, C.S. & Skoula, I. & Karras, C. & Chatzimpiros, A. & Chionidis, M., 2010. "Electricity savings and CO2 emissions reduction in buildings sector: How important the network losses are in the calculation?," Energy, Elsevier, vol. 35(1), pages 485-490.
    11. Voorspools, Kris R. & D'haeseleer, William D., 2003. "Long-term Unit Commitment optimisation for large power systems: unit decommitment versus advanced priority listing," Applied Energy, Elsevier, vol. 76(1-3), pages 157-167, September.
    12. 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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