(445f) Multi-Objective Optimization of Carbon Capture Utilization and Storage Supply Chain

The world is challenged to reduce greenhouse effect which is a main contributor to global warming. Greenhouse gases (GHG) emissions are increasing due to human activities. Accordingly, there is a need to reduce GHG emissions and limit global climate change. Carbon capture utilization and storage (CCUS) became increasingly essential to reduce carbon dioxide emissions from different sectors around the world. There is a challenge to design sustainable CCUS that considers safety, economics, and environmental aspects of the CCUS supply chain. This work presents a methodology for a systematic design of the carbon capture utilization and storage supply chain considering the trade-off between different scales including economics, safety, and environmental emissions. This work is the first to propose a method for quantifying hazards considering different utilization options using safety indices. The multi-objective optimization utilizes augmented Ɛ-constraint method to generate Pareto optimal solutions. The framework is demonstrated by applying it to a CCUS supply chain case study with different sources and sinks to minimize the total annual cost, environmental emissions as well as hazards. The generated Pareto optimal surface provides several unique designs of the CCUS. The proposed approach will help decision makers to select the sustainable optimal design of the supply chain considering safety, economic and environmental impacts of the CCUS.