The Estimation of the Optimal CO₂ Reduction Process for Power Plant using the PEI Index

Abstract

The systematic and quantitative approach on the environmental pollution is a significant challenge in highly regulated industries, such as power plants, where a large amount of waste gas including greenhouse gas must be discharged. We propose a novel methodology that was verified various CO₂ reduction processes using simulation. In this study, an environmental pollution impact is explained by the process operating conditions. With PEI(Potential Environmental Impact) representing the environmental impact quantitatively, the estimation of CO₂ reduction processes becomes simplified. For the estimation, this study at first simulated the power plant including CO₂ reduction process. As fundamental data of this simulation, there are operation data of the power plant, data for CO₂ reduction processes, CO₂ reduction rate etc. Finally the efficiency of each CO₂ reduction process is estimated by total PEI Index. Also, the optimal operation condition to reduce CO₂ emission of each process was estimated too. As the result of this study, the suitability of each CO₂ reduction process and the optimal operating conditions of CO₂ reduction processes for a power plant was evaluated.