Title: Longer term strategic decision making for coal-based power systems incorporating CO₂ sequestration

Authors: Yidong Zhang; Mark H. Karwan

Addresses: Global Optimization Solutions, Global Supply Chain Services, BASF (China), Shanghai, 200137, China ' Department of Industrial and Systems Engineering, University at Buffalo, The State University of New York, Buffalo, New York, 14260, USA

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.

Keywords: CO₂ sequestration system design; long term strategic modelling; large-scale optimisation.

DOI: 10.1504/IJMOR.2017.086295

International Journal of Mathematics in Operational Research, 2017 Vol.11 No.2, pp.219 - 270

Received: 18 Aug 2015
Accepted: 04 Dec 2015
Published online: 04 Sep 2017 *

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