Optimal size and joint operation of wind power and CCS coal plant with amine storage
This paper presents a mixed-integer linear optimization model to find the component sizes and operating schedule that maximize the profitability of a hybrid electric power generation unit, consisting of a new wind farm integrated with an existing coal plant that will be retrofitted with amine-based post-combustion Carbon Capture System (CCS) and amine storage. This hybrid system reduces both the costs of integration of wind power into the grid, and the costs associated with the energy penalty of the CCS. The amine storage system allows storing CO2-rich amine solution to reduce the energy penalty of the CCS system at times of high electricity prices/high demand. The amine-rich solution can be regenerated at an enhanced rate when electricity prices are relatively low or when wind power output exceeds the transmission capacity of the connector lines. In this way the amine-storage system effectively provides 'storage' for wind power and a mechanism for muting the variability of wind power output. The amount of available wind power is modeled by Markov Chain Monte Carlo (MCMC) method, and provided as input data for the linear optimization model. The analysis is conducted with and without constraints on the maximum hourly variation of dispatched power from this system.