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.
International Journal of Mathematics in Operational Research, 2017 Vol.11 No.2, pp.219 - 270
Available online: 29 Aug 2017 *Full-text access for editors Access for subscribers Purchase this article Comment on this article