Towards CO2 valorization in a multi remote renewable energy hub framework with uncertainty quantification

• Main Authors: Dachet, Victor, Benzerga, Amina, Coppitters, Diederik, Contino, Francesco, Fonteneau, Raphaël, Ernst, Damien
• Format: Report
• Language: English
• Published: 2023
• Subjects: Energy; Remote Renewable Energy Hub; Optimisation; Power-to-X; Engineering; computing & technology; Ingénierie; informatique & technologie; Energie; Greenland
• Online Access: https://orbi.uliege.be/handle/2268/309679; https://orbi.uliege.be/bitstream/2268/309679/1/Dachet2023TowardsCO2Uncertainty.pdf

In this paper, we propose a multi-RREH (Remote Renewable Energy Hub) based optimization framework. This framework allows a valorization of CO2 using carbon capture technologies. This valorization is grounded on the idea that CO2 gathered from the atmosphere or post combustion can be combined with hydrogen to produce synthetic methane. The hydrogen is obtained from water electrolysis using renewable energy (RE). Such renewable energy is generated in RREHs, which are locations where RE is cheap and abundant (e.g., solar PV in the Sahara Desert, or wind in Greenland). We instantiate our framework on a case study focusing on Belgium and 2 RREHs, and we conduct a techno-economic analysis under uncertainty. This analysis highlights, among others, the interest in capturing CO2 via Post Combustion Carbon Capture (PCCC) rather than only through Direct Air Capture (DAC) for methane synthesis in RREH. By doing so, a notable reduction of 10% is observed in the total cost of the system under our reference scenario. In addition, we use our framework to derive a carbon price threshold above which carbon capture technologies may start playing a pivotal role in the decarbonation process of our industries. For example, this price threshold may give relevant information for calibrating the EU Emission Trading System so as to trigger the emergence of the multi-RREH.