Design of Integrated CO2 Transportation-Injection-Storage System based on Multi-Objective Optimization

Abstract

This study proposes a method based on multi-objective optimization to select facility and operational parameters for the basic design of an integrated CO 2 transportation-injection-storage system. Ｍultiobjective optimization was conducted to explore a Pareto-optimal front composed of non-dominated design solutions. The performance of the proposed approach was validated by applying it to CO 2 storage at a saline aquifer. We set four decision variables (CO 2 source pressure, pipeline inner diameter, injection well tubing inner diameter, and CO 2 temperature at wellhead) and three objective functions (CO 2 storage capacity, injection pressure, and benefit-cost ratio). The Pareto-optimal front was derived at approximately 5% of the computational cost compared to the exhaustive search. A comparative analysis was conducted to analyze the effects of prior and posterior preferences toward objectives on optimization performance. This method demonstrates the potential to provide effective solutions for designing an integrated CCS (carbon capture and storage) system.