Temporal multiscalar decision support framework for flexible operation of carbon capture plants targeting low-carbon management of power plant emissions

Abstract

A real-time control-optimization framework previously developed across multiple time scales is used for the analysis of power plant net operating revenue when retrofitted with a carbon capture plant. This framework which features high sample frequency commensurate with electricity dispatch and control instrumentation levels is proposed as a decision support tool for flexible operation of the carbon capture plant while considering electricity and carbon price dynamics. This paper presents the results of implementing this framework for operational flexibility of solvent-based post-combustion CO2 capture (PCC) process in response to power plant dynamic loads (load following and unit turndown). An integrated plant (power plant with PCC) subject to forecast 2020 electricity and carbon prices is shown to generate yearly net operating revenue of approximately 12% of the gross revenue. While, the same integrated plant generates net operating revenue loss of roughly 13% under 2011 electricity and carbon prices. These results underpin the strategy that employs the proposed optimization-based control framework for flexible operation of a PCC plant in the year 2020, because such framework captures financial benefits hidden in the dynamics of electricity load, electricity and carbon price trends, and does so at high temporal resolution.