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Longer term strategic decision making for coal-based power systems incorporating CO2 sequestration
by Yidong Zhang; Mark H. Karwan
International Journal of Mathematics in Operational Research (IJMOR), Vol. 11, No. 2, 2017
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.
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