(707b) A Graphical Approach to the Planning of Integrated Carbon Capture Utilization and Storage Strategies
AIChE Annual Meeting
2020
2020 Virtual AIChE Annual Meeting
Environmental Division
CO2 Industrial, Engineering and R&D Approaches I
Friday, November 20, 2020 - 8:15am to 8:30am
The recent developments in the catalysis of CO2 activation as well as the rising interest in the applications of CO2 to mitigate the effects of global warming have led to the emergence of various CO2 utilization technologies. Capturing carbon emissions from point sources for storage or utilization is considered vital for effective transition toward carbon reduction. Unfortunately, economic burdens prevent the implementation of such projects. With the variety of sources to capture from, as well as the utilization and storage options, it is important to develop a screening methodology that allows the determination of the cost-efficient options for optimal implementation. Various studies have been reported in literature trying to tackle such problem. Carbon Abatement cost curves have been developed to represent carbon reduction pathways with least costs. Such tools deal with the CCUS options either from the supply side (sources of emissions) or the demand side (utilization options). On the other hand, process integration techniques have been implemented to optimize the CCUS development through solving the allocation problem (from source to sink) via pinch analysis techniques or mathematical programming. This work proposes a graphical technique that allows the quick determination the lowest cost portfolio for the implementation of the different options of carbon capture, utilization, and storage. Insights can be provided on the optimal carbon network through developing supply and demand cost curves and interpreting the results from process integration point of view. The application of the method is illustrated through an example. The aim is to provide planners and policy makers with a decision support tool that allows a quick analysis and identification of the optimal options.