A multiobjective Optimization Approach for CCS Infrastructure Considering Cost and Environmental Impact

Abstract

In this study, we address the design of a carbon capture and storage (CCS) infrastructure with economic and environmental concerns. Given a set of available technologies to capture, sequestrate, and transport CO2, the problem consists of determining the optimal planning of the CCS infrastructure capable of satisfying a predefined CO2 reduction target The planning task is formulated as a multiobjective mixed integer linear programming (moMILP) problem, which simultaneously accounts for the minimization of cost and environmental impact The environmental impact is measured through all contributions made by operation and installation of the CCS infrastructure. The emissions considered in the environmental impact analysis are quantified according to the principles of Life Cycle Assessment (LCA), specifically the Eco-indicator 99 method. The multiobjective optimization problem was solved by using the e-constraint method. The capability of the proposed modeling framework is illustrated and applied to a real case study based on Korea, for which valuable insights are obtained.