Robust optimization for CO2 pipeline design based on improved parallel co-evolution genetic algorithm

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pipeline transportation systems are important for the carbon capture, utilization and storage (CCUS) process. In this study, a robust model is presented to minimize the levelized cost for the pipeline design, an improved parallel co-evolution genetic algorithm (GA) is provided to solve the formulated optimization problem. The proposed method optimizes the pipe diameter, wall thickness, inlet pressure and number of boosting pump stations. Compared with the existing optimization methods, the results indicate that the proposed approach can deal with the effects caused by the variable temperature and make the design more reasonable.