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Biological-chemical conversion process design and machine learning-related life cycle assessment: Bio-lubricant production in a real case study of South Korea

Lee, Yoonjae; Ko, Jaerak; Kwon, Oseok; Park, Hoyoung; Lee, Hyeonjeong; Jeong, Sumin; Ha, Byeongmin; Hwangbo, Soonho; Han, Jeehoon

ArticleIssue Date2025CitationJournal of Environmental Management, v.379PublisherAcademic Press
SCIESCOPUS
Environmentally friendly process design for furan-based long-chain diester production aiming for bio-based lubricants

Lee, Hye Jin; Lee, Yoonjae; Yang, Eun-Hyeok; Yoo, Jiyun; Choi, Seungjun; Hwangbo, Soonho; Suh, Young-Woong; Beak, Jayeon; Han, Jeehoon; Kim, Yong Jin

ArticleIssue Date2025CitationGreen Chemistry, v.27, no.3PublisherRoyal Society of Chemistry
SCIESCOPUS
Environmentally friendly process design for furan-based long-chain diester production aiming for bio-based lubricants (vol 27, pg 607, 2025)

Lee, Hye Jin; Lee, Yoonjae; Yang, Eun-hyeok; Yoo, Jiyun; Choi, Seungjun; Hwangbo, Soonho; Suh, Young-Woong; Baek, Jayeon; Han, Jeehoon; Kim, Yong Jin

ArticleIssue Date2025CitationGreen Chemistry, v.27, no.12, pp 3363 - 3363PublisherRoyal Society of Chemistry
SCIESCOPUS
Environmentally-viable utilization of chicken litter as energy recovery and electrode production: A machine learning approach

Lee, Seonho; Kim, Jiwon; Byun, Jaewon; Joo, Junghee; Lee, Yoonjae; Kim, Taehyun; Hwangbo, Soonho; Han, Jeehoon; Kim, Sung-Kon; Lee, Jechan

ArticleIssue Date2023CitationApplied Energy, v.350PublisherPergamon Press Ltd.
SCIESCOPUS
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

Kim, Jiwon; Ko, Jaerak; Lee, Yoonjae; Lee, Hyeonjeong; Jeong, Sumin; Yoo, Jiyun; Lee, Sang-A; Gong, Gyeongtaek; Suh, Young-Woong; Lee, Sun-Mi, et al.

ArticleIssue Date2025CitationChemical Engineering Journal, v.510PublisherElsevier BV
SCIESCOPUS
Stochastic techno-economic assessment of future renewable energy networks based on integrated deep-learning framework: A case study of South Korea

Ha, Byeongmin; Nam, Seolji; Byun, Jaewon; Han, Jeehoon; Hwangbo, Soonho

ArticleIssue Date2024CitationChemical Engineering Journal, v.485PublisherElsevier B.V.
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