LENSE
-
A New Strategy for Early Evaluations of CO2 Utilization Technologies
- A three-step evaluation procedure based on technology readiness levels helps find the most efficient technology before allocating R&D manpower and investments in CO2 utilization technologies. -
Researchers presented a unified framework for early-stage evaluations of a variety of emerging CO2 utilization (CU) technologies. The three-step procedure allows a large number of potential CU technologies to be screened in order to identify the most promising ones, including those at low level of technical maturity, before allocating R&D manpower and investments.
When evaluating new technology, various aspects of the new technology should be considered. Its feasibility, efficiency, economic competitiveness, and environmental friendliness are crucial, and its level of technical maturity is also an important component for further consideration. However, most technology evaluation procedures are data-driven, and the amount of reliable data in the early stages of technology development has been often limited.
A research team led by Professor Jay Hyung Lee from the Department of Chemical and Biomolecular Engineering at KAIST proposed a new procedure for evaluating the early development stages of emerging CU technologies which are applicable at various technology readiness levels (TRLs).
The procedure obtains performance indicators via primary data preparation, secondary data calculation, and performance indicator calculation, and the lead author of the study Dr. Kosan Roh and his colleagues presented a number of databases, methods, and computer-aided tools that can effectively facilitate the procedure.
The research team demonstrated the procedure through four case studies involving novel CU technologies of different types and at various TRLs. They confirmed the electrochemical CO2 reduction for the production of ten chemicals, the co-electrolysis of CO2 and water for ethylene production, the direct oxidation of CO2 -based methanol for oxymethylene dimethyl production, and the microalgal biomass co-firing for power generation.
The expected range of the performance indicators for low TRL technologies is broader than that for high TRL technologies, however, it is not the case for high TRL technologies as they are already at an optimized state. The research team believes that low TRL technologies will be significantly improved through future R&D until they are commercialized. “We plan to develop a systematic approach for such a comparison to help avoid misguided decision-making,” Professor Lee explained.
Professor Lee added, “This procedure allows us to conduct a comprehensive and systematic evaluation of new technology. On top of that, it helps make efficient and reliable assessment possible.”
The research team collaborated with Professor Alexander Mitsos, Professor André Bardow, and Professor Matthias Wessling at RWTH Aachen University in Germany. Their findings were reported in Green Chemistry on May 21. This work was supported by the Korea Carbon Capture and Sequestration R&D Center (KCRC).
Publications:
Roh, K., et al. (2020) ‘Early-stage evaluation of emerging CO2 utilization technologies at low technology readiness levels’ Green Chemistry. Available online at https://doi.org/10.1039/c9gc04440j
Profile: Jay Hyung Lee, Ph.D.
Professor
jayhlee@kaist.ac.kr
http://lense.kaist.ac.kr/
Laboratory for Energy System Engineering (LENSE)
Department of Chemical and Biomolecular Engineering
KAIST
https://www.kaist.ac.kr
Daejeon 34141, Korea
(END)
2020.06.22 View 8890 -
Professor Jae-Hyung Lee appointed as AIChE fellow
Professor Jae-Hyung Lee from the Department of Chemical and Bimolecular Engineering at KAIST was appointed as a fellow in the American Institute of Chemical Engineers (AIChE).
Established in 1908, AIChE is the largest association of chemical engineers worldwide, which now boasts more than 40,000 members from 90 countries.
Following Distinguished Professor Sang Yup Lee from the same department at KAIST, Professor Jae-Hyung Lee is the second Korean appointed as a fellow by the organization.
He has been acknowledged for his innovative research on the improvement of model predictive control of industrial processes.
Professor Lee is the director of the Saudi Armaco-KAIST CO2 Management Center at KAIST, a fellow of the Institute of Electrical and Electronics Engineers (IEEE) and the International Federation of Automatic Control (IFAC), and a member of the Korean Academy of Science and Technology.
He received the Young Investigator Award from the National Science Foundation (NSF) in 1994 and the Computing in Chemical Engineering Award from AIChE in 2013.
2013.11.05 View 8771 -
Professor Jay H. Lee to receive the 2013 AIChE CAST Computing in Chemical Engineering Award
Professor Jay H. Lee of Chemical and Biomolecular Engineering Department at KAIST has won the 2013 Computing in Chemical Engineering Award of AIChE"s CAST Division (AIChE, American Institute of Chemical Engineers and CAST, Computing & Systems Technology Division).
The CAST Computing in Chemical Engineering Award, sponsored by The Dow Chemical Company, is annually given to an individual who has made outstanding contributions in the application of computing and systems technology to chemical engineering.Professor Lee has been recognized for his pioneering research contributions for “novel paradigms for much improved and robust model predictive control in industrial processes.” He is currently the Head of Chemical and Biomolecular Engineering Department and Director of Brain Korea (BK) 21 Program at the department. BK21 is the Korean government’s initiative to support the growth of research universities in the nation and foster highly trained master’s and doctoral students as well as researchers.
The CAST Computing in Chemical Engineering Award will be presented to Professor Jay H. Lee at the CAST Division dinner to be held at the AIChE Annual Meeting this November in San Francisco, where he will also deliver the after dinner lecture associated with this award.
2013.06.12 View 9365