Optimal operation of an integrated energy system including fossil fuel power generation, CO2 capture and wind

This study considers the optimization of operations for an integrated fossil-renewable energy system with CO₂ capture. The system treated consists of a coal-fired power station, a temperature-swing absorption CO₂ capture facility powered by a natural gas combustion turbine, and wind generation. System components are represented in a modular fashion using energy and mass balances. Optimization is applied to determine hourly system dispatch to maximize operating profit given energy prices and wind generation data. A CO₂ emission constraint, modeled after a California law, is enforced. Idealized and realistic scenarios are considered, along with several different system specifications. For a year of operation, simulated using available wind and energy price data, operating profit for optimized operation is shown to be approximately 20% greater than profit using a heuristic procedure. The benefit from optimization is positively correlated with electricity price variability and mean wind generation. The impact of different component specifications and different CO₂ absorption solvents on the optimal operation of the energy system is also assessed. In total, this study demonstrates that the effective operating cost of an integrated energy system operating under a CO₂ emission constraint can be substantially reduced via optimal flexible operation.