이윤재
선임연구원 | 공정시스템공학, 경제·환경성평가
이윤재 (Yoonjae Lee)
선임연구원 · 공정시스템공학, 경제·환경성평가
yoonjae02@kier.re.kr
042-860-3095
연구분야
AI·계산과학 기반 공정시스템 설계 및 분석
- 공정모사 및 공정시스템 설계
- 정상상태·동적 공정 모델링 및 공정 제어
- 기술경제성 평가 (Techno-Economic Analysis, TEA)
- 전과정평가 (Life Cycle Assessment, LCA)
- 머신러닝 기반 공정·에너지 시스템 분석 및 예측
Publications
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Choi, S., Yoo, J., Lee, Y., Suh, Y., S, J. G., Han, J.*, “Sustainable production of 1-octanol using biomass-derived acetone and furfural,” Chemical Engineering Journal, 2026, 527, 171866.
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Lee, Y., Lee, W., Chang, M. H., Lee, J. U.*, Han, J.*, “Modeling and validation of a detritiation system with recombiner and wet scrubber for fusion fuel cycle: Steady-state analysis and dynamic control case study,” Fusion Engineering and Design, 2026, 222, 11542.
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Kim, K., Ko, J., Lee, Y., Lee, H., Jeong, S., Yoo, J., Lee, S., Gong, G., Suh, Y., Lee, S.*, Han, J.*, Hwangbo, S.*, “High-yield oleic acid production through glucose-xylose co-fermentation process from lignocellulosic biomass: Techno-economic analysis and environmental evaluation on a large-scale case study,” Chemical Engineering Journal, 2025, 510, 161171.
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Lee, Y., Ko, J., Kwon, O., Park, H., Lee, H., Jeong, S., Ha, B., Hwangbo, S.*, Han, J.*, “Biological-chemical conversion process design and machine learning-related life cycle assessment: Bio-lubricant production in a real case study of South Korea,” Journal of Environmental Management, 2025, 379, 124877.
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Lee, H., Lee, Y., Yang, E., Yoo, J., Choi, S., Hwangbo, S., Suh, Y., Beak, J., Han, J.*, Kim, Y.*, “Environmentally friendly process design for furan-based long-chain diester production aiming for bio-based lubricants,” Green Chemistry, 2025, 27(3), 607–622.
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Lee, Y., Choi, H., Oh, H., Chung, S., Park, J., Han, J.*, “Economic Feasibility Evaluation of Bioleaching-Based Tungsten Recycling of Semiconductor Industry Waste,” ACS Sustainable Chemistry & Engineering, 2024, 12(25), 10229–10238.
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Lee, S., Kim, J., Byun, J., Joo, J., Lee, Y., Kim, T., Hwangbo, S.*, Han, J.*, Kim, S.*, Lee, J.*, “Environmentally-viable utilization of chicken litter as energy recovery and electrode production: A machine learning approach,” Applied Energy, 2023, 350, 121782.
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Kim, T., Lee, Y., Hwangbo, S.*, “Research on Forecasting Framework for System Marginal Price based on Deep Recurrent Neural Networks and Statistical Analysis Models,” Clean Technology, 2022, 28(2), 138–146.
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Lee, Y., Ha, B., Hwangbo, S.*, “Generative model-based hybrid forecasting model for renewable electricity supply using long short-term memory networks: A case study of South Korea’s energy transition policy,” Renewable Energy, 2022, 200, 69–87.