CO2 Pipeline Transportation System Optimization Design Based on Multiple Population Genetic Algorithm

Abstract

Carbon capture, transport, utilization and storage (CCUS) technology is an effective way to reduce the carbon emissions. CO2 transportation system is an important link between the capture source and storage sites, whose cost cannot be neglected. In order to realize the optimization design problem of CO2 pipeline transportation, levelized cost is given as the optimization objective, this paper establishes an optimization model of CO2 pipeline transportation, which is solved by using multiple population genetic algorithm (MPGA). Simulation results indicate the effectiveness of the proposed optimization method for CO2 pipeline transportation.