Optimization of Carbon Capture, Utilization, and Storage Systems
CoI: Dr. Ahmed Attia, Dr. Awsan Mohammed, Dr. Firas Tuffaha
Climate change is among the most imperative challenges of the 21st century, wherein the power sector significantly contributes to global GHG emissions. Gas-fired power plants are major CO₂ emitters. This project develops stochastic optimization model that integrates carbon capture and utilization (CCU) technologies into gas-fired power plants operations. The stochastic model takes into consideration uncertainties of carbon pricing, demand for captured carbon, and emissions trading. Key decisions on the timing and sizing of carbon capture units, pipeline networks, storage facilities, and sale of carbon credits over a 10-year horizon are optimized using the developed model. The results point out a profitable implementation pathway by minimizing total costs while reducing CO₂ emissions and obtaining revenue due to carbon credit sales and CO₂ utilization. This research gives actionable insights for policymakers and energy stakeholders to support the deployment of CCU technologies in gas-fired power plants. The findings contribute to the global knowledge base on decarbonization strategies, emphasizing the role of CCU in balancing economic feasibility with environmental stewardship.
