(630g) Optimal Design and Techno-Economic Analysis of CO2 Mineralization Process Using Aqueous NaOH | AIChE

(630g) Optimal Design and Techno-Economic Analysis of CO2 Mineralization Process Using Aqueous NaOH

Authors 

Jung, D. - Presenter, Korea Advanced Institute of Science and Technology (KAIST)
H. Lee, J., Korea Advanced Institute of Science and Technology (KAIST)
Roh, K., Korea Advanced Institute of Science and Technology (KAIST)
Oh, S. H., Korea Advanced Institute of Science and Technology (KAIST)
CO2 mineralization is one of the prospective CO2 utilization methods, which can achieve both economic benefit and CO2 reduction by converting CO2 to more stable and valuable mineral form. As a potential CO2 mineralization process, sodium bicarbonate (NaHCO3) production using aqueous sodium hydroxide (NaOH) was suggested earlier by Skyonic Corporation. The overall process is composed of chlor-alkali process, CO2 absorption process, and product recovery process. One feature of this mineralization process is that a variety of product choices are possible. In addition to NaHCO3, one can produce hydrochloric acid, sodium hypochlorite, and hypochlorous acid from NaOH, Cl2 and H2 which are intermediate products of the chlor-alkali process. In this study, optimal design of the CO2 mineralization process using NaOH is mainly examined. A process design achieving maximum CO2 utilization is considered as a base case in which all of NaOH produced is consumed to convert CO2. The base case is designed as a reference to the Skyonicâ??s process using AspenPlusTM. Additionally, techno-economic analysis is carried out to discuss the feasibilities of the base case in terms of economics and CO2 reduction in comparison with a conventional NaHCO3 production process (â??Solvayâ?? process). Finally, optimal process designs leading to maximum profit are suggested among several possible process designs with different production portfolios. Particularly, various scenarios of the market demand and product prices are considered in finding the optimal design.