Taekyoon Park

Optimization of compression ratio in closed-loop CO2 liquefaction process

We suggest a systematic method for obtaining the optimal compression ratio in the multi-stage closed-loop compression process of carbon dioxide. Instead of adopting the compression ratio of 3 to 4 by convention, we propose a novel approach based on mathematical analysis and simulation. The mathematical analysis prescribes that the geometric mean is a better initial value than the existing empirical value in identifying the optimal compression ratio. In addition, the optimization problem considers the initial installation cost as well as the energy required for the operation. We find that it is best to use the fifth stage in the general closed-loop type carbon dioxide multi-stage compression process.

Simulation and Optimization of an Integrated CO2 Capture and Storage System

Abstract Carbon dioxide capture and storage (CCS) system has been developed during several decades. However, most of studies about CCS system focus on a specific process, while a few does on the integrated CCS system. Further study about process design and optimization for the integrated CCS system is needed to deal with process consistency and decision making about choosing optimal design option of overall system. This study presents a bottom-up approach for designing an integrated CCS system. In first step, optimal design of each CCS unit process is proposed using previous researches and power plant operation data. Then all of designed process models are unified to construct a model of an integrated CCS system. Based on this model, proper integration and optimization study for designing whole CCS system is shown. Additionally, this study describes a list of design variables that have much influence on designing the integrated CCS process.