Research
Research
The design of sustainable processes aims to mitigate environmental impacts and resource depletion while guaranteeing economic feasibility compared to conventional processes that mostly rely on fossil fuel-based resources. We aim to develop sustainable chemical, bio, and energy processes by building mathematical models of processing units, designing process flowsheets, and analyzing process performances in multiple aspects. Furthermore, we numerically optimize the designed process for maximal profitability, minimal environmental impacts, or balanced solutions.
Relevant Publications
Carbon capture, utilization, and storage (CCUS)
Chun, et int, Roh, Heo, 2025. Multi-period Deployment of Electrochemical CO2-to-CO reduction Technology Considering Time Varying Uncertainties. Korean J. Chem. Eng. [Link]
Lee, Chung, and Roh, 2024. Conceptual design and evaluation of membrane gas separation-based CO2 recovery unit for CO2 electrolyzers employing anion exchange membranes. Int. J. Greenh. Gas Control 139, 104278. [Link]
Kim, et int, Roh, Lee and Oh, 2023. Design principles for selective and economical CO2 electrolysis in acids. Appl. Catal. B Environ. 339, 123160. [Link]
Roh, 2022. Life Cycle Assessment of Carbon Monoxide Production via Electrochemical CO2 Reduction: Analysis of Greenhouse Gas Reduction Potential. Clean Technol. 28, 9–17. [Link]
Roh, et int, Lee, 2020. Impacts of deploying co-electrolysis of CO2 and H2O in the power generation sector: A case study for South Korea. Energy Reports 6, 761. [Link]
Oh, et int, Lee, 2019. Design, simulation and feasibility study of a combined CO2 mineralization and brackish water desalination process. J. CO2 Util. 34, 446. [Link]
Chung, et int, Lee, 2018. Design and evaluation of CO2 capture plants for the steelmaking industry by means of amine scrubbing and membrane separation. Int. J. Greenh. Gas Control 74, 259. [Link]
Im, et int, Lee, 2015. Economic assessment and optimization of the Selexol process with novel additives. Int. J. Greenh. Gas Control 42, 109. [Link]
Hydrogen energy
Hwang, et int, Yoon, Kang, 2025. Comparative analysis of life cycle assessment for manufacturing processes and materials for 1 kW solid oxide fuel cell stacks with three different support types of cells. J. Environ. Chem. Eng. 13, 115235. [Link]
Choi, et int, Roh, 2024. Revisiting the cost analysis of importing liquefied green hydrogen. Int. J. Hydrogen Energy 82, 817–827. [Link]
Roh, et int, Kim, 2023. Analyses on Techno-economic Aspects and Green Hydrogen Production Capability of MW-scale Low-temperature Water Electrolyzers in Jeju Island, South Korea. J. Hydrog. New Energy 34, 235–245. [Link]
Cumpston, et int, Roh, 2020. Design of 24/7 continuous hydrogen production system employing the solar-powered thermochemical S–I cycle. Int. J. Hydrogen Energy 45, 24383. [Link]
Bioprocess
Choi, Roh, and Lee, 2025. CFD-Based Determination of Optimal Design and Operating Conditions of a Fermentation Reactor Using Bayesian Optimization. Biotech. & Bioeng. 122, 870–883 [Link]
Fahr, et int, Parra-Saldivar, Mansouri and Roh, 2022. Mobile On Demand COVID-19 Vaccine Production Units for Developing Countries. Ind. Eng. Chem. Res. 61(35), 13191–13204. [Link]
Kim, Roh, and Han, 2019. The use of bicarbonate for microalgae cultivation and its carbon footprint analysis. Green Chem. 21, 5053–5062. [Link]
Others
Roh, et int, An, 2024. Life Cycle Assessment of Fossil-Fuel based Carbon Monoxide Production: Comparison of Steam Methane Reforming and Partial Oxidation. Korean J. Life Cycle Assess. 25, 47–54. [Link]
Yoo, et int, Lee, 2019. Optimal design of heat and water recovery system utilizing waste flue gases for refinery CO2 reduction. Comput. Chem. Eng. 124, 140–152. [Link]
Analyzing emerging technologies for manufacturing chemical/biological products (e.g., carbon capture and utilization, microbial biorefinery, Power-to-X, etc.) in terms of economic viability, environmental impacts, and risk is a challenging task due to the low availability of reliable process data, a large number of scenarios, data uncertainties, etc. We develop systematic evaluation methods and user-friendly computer-aided analysis tools that allow us to perform early-stage evaluations of green technologies quickly, consistently, and reliably to support decision-making for further R&D focus.
Relevant Publications
Lee, et int, Heo and Lee, 2023. Applying real options with reinforcement learning to assess commercial CCU deployment. J. CO2 Util. 77, 102613. [Link]
Lee, et int, Lee, 2022. Risk-based Uncertainty Assessment to Identify Key Sustainability Hurdles for Emerging CO2 Utilization Technologies. Green Chem. 24, 4588. [Link]
Chung, et int, Roh and Lee, 2022. Computer-aided identification and evaluation of technologies for sustainable carbon capture and utilization using a superstructure approach. J. CO2 Util. 61, 102032. [Link]
Roh, et int, Lee and Mitsos, 2020. Early-stage evaluation of emerging CO2 utilization technologies at low technology readiness levels. Green Chem. 22, 3842. [Link]
Roh, et int, Lee, 2019. Optimization-based identification of CO2 capture and utilization processing paths for life cycle greenhouse gas reduction and economic benefits. AIChE J. 65, e16580. [Link]
Roh, et int, Lee, 2018. Sustainability analysis of CO2 capture and utilization processes using a computer-aided tool. J. CO2 Util. 26, 60. [Link]
Roh, et int, Gani and Lee, 2016. A methodology for the sustainable design and implementation strategy of CO2 utilization processes. Comput. Chem. Eng. 91, 407. [Link]
Roh, Lee, and Gani, 2016. A methodological framework for the development of feasible CO2 conversion processes. Int. J. Greenh. Gas Control 47, 250. [Link]
Roh, et int, Lee, Gani, 2015. Development of sustainable CO2 conversion processes for the methanol production, Comput. Aided Chem. Eng. 37, 1145. [Link]
Due to significant temporal fluctuations in the generation of renewable electricity, challenges for power grid stability arise. One way of stabilizing the grid is by adapting the electricity demand to its provision via demand-side management (DSM). In DSM, energy-intensive processes are operated flexibly in order to increase their operational level when a large share of electricity from intermittent resources is available and to decrease their operation when the share is small. Our goal is to invent novel methods and algorithms for determining the optimal operation profile of energy-intensive processes. In particular, we are interested in integrating such a flexible operation with process design, equipment degradation, uncertainty, etc.
Relevant Publications
Nilges, et int, von der Aßen, 2023. Comparative Life Cycle Assessment of Industrial Demand-Side Management via Operational Optimization. Comput. Chem. Eng. 177, 108323. [Link]
Roh et al., 2022. Flexible operation of modular electrochemical CO2 reduction processes, IFAC-PapersOnLine 55(7), 298–303. [Link]
Brée, et int, Roh, 2020. Techno-Economic Comparison of Flexibility Options in Chlorine Production. Ind. Eng. Chem. Res. 59, 12186. [Link]
Burre, et int, Mitsos, 2020. Power-to-X: Between Electricity Storage, e-Production, and Demand Side Management. Chemie Ing. Tech. 92, 74. [Link]
Roh, et int, Mitsos, 2019. Flexible operation of switchable chlor-alkali electrolysis for demand side management. Appl. Energy 255, 113880. [Link]
Roh, et int, Mitsos, 2019. Optimal Oversizing and Operation of the Switchable Chlor-Alkali Electrolyzer for Demand Side Management, Comput. Aided Chem. Eng. 46, 1771. [Link]
Roh and Lee, 2014. Control Structure Selection for the Elevated-Pressure Air Separation Unit in an IGCC Power Plant: Self-Optimizing Control Structure for Economical Operation. Ind. Eng. Chem. Res. 53, 7479–7488. [Link]
PSE-related Lectures @ CNU
2학년 : 공학수학, 물리화학1, 화공양론, 전산개론
3학년 : 화공열역학, 유체역학, 요소기술설계, 반응공학기초, 물질전달, 공정열역학, 단위조작실험
4학년 : 열전달, 융합공정자동화, 수치해석
(34141) 대전광역시 유성구 대학로 99 충남대학교 공학1호관 251호(실험실)/252호(교수 연구실)
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