Multi-objective optimization and decision for the IGCC system under the carbon trade market

A comprehensive evaluation of thermal, economic, and environmental performance is crucial for power gen-eration system optimization. In this study, calculation methods to realize the modeling, prediction, and opti-mization of integrated gasification combined cycle (IGCC) with carbon capture and storage (CCS) system were established. The carbon capture rate (CCR) and Levelized cost of energy (LCOE) were selected as the optimi-zation objectives. The optimal solution set of multi-objective optimization and the effect of the carbon trade market were evaluated. The results show that the variable that plays a decisive role in the optimization target is H2O/CO. When the weight of the two optimization objectives was 0.5, the optimal solution of the corresponding system inclined more to the region with a lower CCR and LCOE. With an increase in the CCR, the sacrifice of the LCOE increases. Considering carbon trading, as the CCR increases, the cost increase mainly originates from the initial investment cost. CO2 trading prices can significantly increase CCR capacity. When the carbon trading price was increased from 40 $/ton to 80 $/ton, the maximum CCR that the system could achieve increased from 0.843 to 0.901.

Automated summary

In this study, calculation methods for modeling, prediction, and optimization of the integrated gasification combined cycle (IGCC) with carbon capture and storage (CCS) system were established. The carbon capture rate (CCR) and levelized cost of energy (LCOE) were selected as the optimization objectives, and the effects of carbon trading were evaluated. The results revealed that the H2O/CO variable played a decisive role in the optimization target, and an increase in CCR led to a higher initial investment cost. Moreover, an increase in carbon trading prices significantly increased the system's maximum CCR.