The ANNs predict the five outputs from the detailed model, which are the specific thermal energy, the specific electricity, the productivity, the purity, and the working capacity. The performance indicators we will focus on are specific thermal energy, specific electricity, productivity, and purity. It has previously been shown that capital costs dominate in the early stages of this technology's development. Productivity is the performance indicator with the greatest impact on capital costs, as higher productivity will lead to fewer adsorption beds required. However, as the technology develops, operating costs will become more important in terms of cost. Specific thermal energy and specific electricity consumption will both be significant contributors to these operating costs, so to minimise the long-term cost of the technology, these performance indicators are key. Purity is a performance indicator that is a constraint depending on the final destination of the CO2. For geological sequestration, it is essential to achieve high purities, with the US Department of Energy -National Energy Technology Laboratory (DOE/NETL) setting a lower limit of 95% CO2 purity, for example.