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Longer term strategic decision making for coal-based power systems incorporating CO 2 sequestration

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  • Yidong Zhang
  • Mark H. Karwan

Abstract

This research is inspired by forecasts which show that coal-based power plants will remain an important part of the nation's and world's energy mix. However since coal-based plants generate a substantial amount of CO2 with significant impact on the greenhouse effect, CO2 is expected to be further regulated in the future. CCS is a promising technology but has a variety of costs involved in a full systems approach: where, when and how to construct and operate potential new plants, retrofit existing plants, construct and operate injection wells and pipelines. This is strategically important with a planning horizon of 20-40 years. We develop a mathematical programming model of the entire system with consideration of all costs and revenues and environmental regulations. We develop an algorithm incorporating time aggregation and a rolling horizon cascade approach and present computational experiments.

Suggested Citation

  • Yidong Zhang & Mark H. Karwan, 2017. "Longer term strategic decision making for coal-based power systems incorporating CO 2 sequestration," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 11(2), pages 219-270.
    • Handle: RePEc:ids:ijmore:v:11:y:2017:i:2:p:219-270
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    Cited by:

    1. Malinowski, Ethan & Karwan, Mark H. & Pinto, José M. & Sun, Lei, 2018. "A mixed-integer programming strategy for liquid helium global supply chain planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 168-188.

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