CO2 Conversion Through Dynamic Resource Integration in Different Geographic Regions

Achieving the required environmental goals while ensuring economic growth requires an efficient management of resources. This applies to climate action, which may involve many technologies that must operate coherently to achieve emissions reduction targets at the lowest costs. Different dynamics related to the energy sources can affect the design and operation of the integrated systems. This work presents a novel approach for dynamic resource management within integrated systems through a case study on optimizing the design and dynamic operation of an integrated CO2 processing cluster that produces different fuels. The proposed method follows a generic representation of resource integration across different processing and storage options while considering power price dynamics, power-related emissions (scope 2), and renewable energy availability. Energy production profiles vary across geographic regions, affecting power price dynamics and power-related emissions. The varying weather conditions would affect the availability of renewable energy. The impact of these variations on the cost and design of the CO2 processing clusters is investigated across Qatar, Italy, and Denmark. The optimization results showed significant variations in the system design between the investigated regions, especially with the configuration of the power mix. The total cost varied across the regions by 10 $/GJ of produced energy, with the cheapest system being in Denmark and the most expensive being in Qatar.