New procedure in solar system dynamic simulation, thermodynamic analysis, and multi-objective optimization of a post-combustion carbon dioxide capture coal-fired power plant

One of the most vital concerns in evaluating power generation systems is the comprehensive review of all useful indexes. In the vast range of researches regarding renewable energy systems, just the thermodynamic performance of a typical power plant is considered without solar system operating time management. Thus, in this paper, a novel approach, simultaneous dynamic simulation, and conventional thermodynamic analysis are used for the evaluation of a solar-assisted post-combustion CO2 capture, integrated into a coal-fired steam power plant as a case study. For the dynamic simulation of linear parabolic solar collector, the non-linear sliding mode control (SMC) approach, and for thermodynamic modeling, the prevalent technique (exergy analysis) is employed. The effects of thermodynamic parameters, on control system performance, are appeared during the investigation of the power generation system. Therefore, the control system characteristic (settling time), as well as exergetic parameters, are affected power generation system. Finally, to achieve an optimal configuration, multi-objective optimization (using PSO Algorithm Tool) is performed to make a power generation system with maximum agility (minimum settling time) and maximum efficiency. The promising two-objective optimization outcomes indicated 14.42 and 0.8% enhancement in settling time and exergetic efficiency, and the three-objective optimization revealed 14.4 and 0.74% of improvement in settling time and thermal efficiency, respectively.