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The development and application of a temporal MARKAL energy system model using flexible time slicing

  • Kannan, Ramachandran
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    Detailed temporal consideration has been a major challenge for energy systems models with typical time horizons of years and decades. This presents particular issues in investigating electricity generation, capacity and storage, whilst retaining broader trade-offs sectors, technology pathways and timing of investments. This paper reports on a methodology for temporal disaggregation in the widely applied energy service driven, technology rich, cost optimizing, linear programming MARKAL energy system model. A flexible time slicing feature is developed to enhance representation of diurnal and seasonal electricity demand curves through disaggregation of resource availability and energy service demands. In a first application of a temporal UK MARKAL model, a range of runs investigate the role of electricity storage at supply and demand sides. The results display considerably enhanced insights, notably on the role and preference of demand-side electricity storage over supply-side storage. On average, the system chooses about 7-10% of electricity demand as storage. On the supply side, hydrogen-based electricity storage is greatly preferred but stored-hydrogen is used in the transport sector rather than for power system balancing mechanism.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0306-2619(10)00586-6
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    Article provided by Elsevier in its journal Applied Energy.

    Volume (Year): 88 (2011)
    Issue (Month): 6 (June)
    Pages: 2261-2272

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    Handle: RePEc:eee:appene:v:88:y:2011:i:6:p:2261-2272
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    1. Abu-Sharkh, S. & Arnold, R.J. & Kohler, J. & Li, R. & Markvart, T. & Ross, J.N. & Steemers, K. & Wilson, P. & Yao, R., 2006. "Can microgrids make a major contribution to UK energy supply?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(2), pages 78-127, April.
    2. Ramachandran Kannan & Paul Ekins & Neil Strachan, 2009. "The Structure and Use of the UK MARKAL Model," Chapters, in: International Handbook on the Economics of Energy, chapter 12 Edward Elgar Publishing.
    3. Göransson, Lisa & Johnsson, Filip, 2009. "Dispatch modeling of a regional power generation system – Integrating wind power," Renewable Energy, Elsevier, vol. 34(4), pages 1040-1049.
    4. Strachan, Neil & Kannan, Ramachandran, 2008. "Hybrid modelling of long-term carbon reduction scenarios for the UK," Energy Economics, Elsevier, vol. 30(6), pages 2947-2963, November.
    5. Greenblatt, Jeffery B. & Succar, Samir & Denkenberger, David C. & Williams, Robert H. & Socolow, Robert H., 2007. "Baseload wind energy: modeling the competition between gas turbines and compressed air energy storage for supplemental generation," Energy Policy, Elsevier, vol. 35(3), pages 1474-1492, March.
    6. Neuhoff, K. & Ehrenmann, A. & Butler, L. & Cust, J. & Hoexter, H. & Keats, K. & Kreczko,A. & Sinden, G., 2006. "Space and Time: Wind in an Investment Planning Model," Cambridge Working Papers in Economics 0620, Faculty of Economics, University of Cambridge.
    7. Sinden, Graham, 2007. "Characteristics of the UK wind resource: Long-term patterns and relationship to electricity demand," Energy Policy, Elsevier, vol. 35(1), pages 112-127, January.
    8. Lund, H & Münster, E, 2003. "Modelling of energy systems with a high percentage of CHP and wind power," Renewable Energy, Elsevier, vol. 28(14), pages 2179-2193.
    9. Kannan, R., 2009. "Uncertainties in key low carbon power generation technologies - Implication for UK decarbonisation targets," Applied Energy, Elsevier, vol. 86(10), pages 1873-1886, October.
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