Flexible operation and simultaneous scheduling and control of a CO2 capture plant using model predictive control. (May 2016)

• Record Type: Journal Article
• Authors: He, Zhenrong; Sahraei, M. Hossein; Ricardez-Sandoval, Luis A.
• Is Part Of: International journal of greenhouse gas control. Volume 48:Part 2(2016:May)
• Page Start: 300
• Page End: 311
• Publication Date: 2016-05
• Subjects: CO2 capture -- Flexible operation -- Model predictive control -- Process scheduling -- Dynamic optimization; Greenhouse gases -- Environmental aspects -- Periodicals; Air -- Purification -- Technological innovations -- Periodicals; Gaz à effet de serre -- Périodiques; Gaz à effet de serre -- Réduction -- Périodiques; Air -- Purification -- Technological innovations; Greenhouse gases -- Environmental aspects; Periodicals; 363.73874605
• DOI: 10.1016/j.ijggc.2015.10.025
• Languages: English
• ISSNs: 1750-5836

Abstract

Highlights: Critical realizations in flue gas flowrate were identified for a CO2 capture plant. Load changes with high frequency content are critical for the plant in closed-loop. Optimal scheduling policies were found using simultaneous scheduling and control. The integrated method provides better operating policies than the sequential method. Abstract: Post-combustion CO2 capture plants that employ amine-based solvents are regarded as the most feasible strategy to reduce the CO2 emission from coal-fired power plants. This study presents a dynamic flexibility analysis of a post-combustion CO2 capture process using model predictive control (MPC). The critical operating conditions in the plant's main load (flue gas flowrate) were initially identified in open-loop and closed-loop. Insights from this analysis have shown that oscillatory changes with high frequency content in the load are particularly harmful for this process in closed-loop. Taking this insight into account, a simultaneous scheduling and control framework was developed to identify optimal operating policies under critical operating conditions in the flue gas flowrate. The results obtained from this framework were compared against a conventional sequential control and scheduling approach. The results show that the proposed integrated framework specifies more economically attractive policies than those obtained from the sequential approach.