Energy, exergy, economic, environmental (4E) and dynamic analysis based global optimization of chemical looping air separation for oxygen and power co-production

Ye Tao, Wende Tian, Lingqi Kong, Suli Sun and Chenyang Fan

Energy, 2022, vol. 261, issue PB

Abstract: Chemical looping air separation (CLAS) is a promising oxygen generation technology due to its energy conservation nature. It can be integrated with power generation system (PGS) to improve energy efficiency by utilizing high waste heat of CLAS system. This work presents a global optimization strategy for revamping the CLAS-PGS system, in which the comprehensive performance of the system is evaluated by a novel energy, exergy, economic, environmental, and dynamic (4E-1D) analysis method. First, two original after-burner reheating (ABR) and mixed heating (MH) technologies are proposed to optimize the CLAS-HI-PGS scheme. Second, all the schemes are simulated to provide steady-state simulation results for global 4E analysis, and optimized by genetic algorithm (GA) with minimum capital investment cost (CIC) as target to further improve energy efficiency of CLAS-PGS. Finally, the dynamic behaviors of the schemes are investigated with effective control schemes designed to ensure safe and stable operation of CLAS-PGS. In order to measure additional losses caused by disturbance, the 4E analysis is also combined with dynamic analysis. The results show that the scheme combing MH with CLAS-PGS (CLAS-MH-PGS) displays best, proving the effectiveness of this proposal and providing a new way for CLAS-PGS industrial application.

Keywords: Chemical looping air separation; 4E analysis; Dynamic simulation; Genetic algorithm optimization; Power generation system (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:261:y:2022:i:pb:s0360544222022472

DOI: 10.1016/j.energy.2022.125365

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