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

Journal: Journal of environmental management
PMID:

Abstract

This study explores the production of poly alpha olefin (PAO) from biomass as an environmentally friendly alternative to fossil fuel-based methods, aiming to reduce greenhouse gas (GHG) emissions. The primary goal is to design a process for converting 2,000 metric tons of biomass into PAO daily, integrating biological and chemical pathways. Environmental impact is assessed through a life cycle assessment (LCA), comparing this biomass-based method with traditional fossil fuel-derived processes. Key findings include the successful production of 458 metric tons of PAO, with the LCA revealing a 34.8% reduction in GHG emissions (9.88 kg CO-eq./kg of PAO) compared to fossil fuel-based PAO. Sensitivity analyses on the oligomerization yield (60-70%, base case at 65%) and the recycle ratio of glucose in the bioprocess for octanoic acid production show significant environmental benefits when exceeding a 55% recycle ratio. Additionally, an energy scenario analysis predicts the impact of shifting to renewable energy by 2030. In a scenario where all electric utilities are renewable (RE100 scenario), GHG emissions are estimated at 13.07 kg CO-eq./kg of PAO, further emphasizing the environmental advantage of biomass-based PAO. This study, through its integration of biological and chemical processes and comprehensive LCA, provides critical insights into the potential of biomass-based materials for reducing GHG emissions, making a substantial contribution to future research in high-value material production from renewable resources.

Authors

  • Yoonjae Lee
    Department of Chemical Engineering, Pohang University of Science and Technology, Cheongam-ro 77, Nam-gu, Pohang-si, Gyeongsangbuk-do, 37673, Republic of Korea.
  • Jaerak Ko
    Department of Chemical Engineering, Gyeongsang National University, Jinjudae-ro 501, Jinju-si, Gyeongsangnam-do, 52828, Republic of Korea.
  • Oseok Kwon
    Carbon Neutralization TFT.Platform Technology, LG Chem, Seoul, 07796, Republic of Korea.
  • Hoyoung Park
    Research & Development Institute, Lotte Engineering & Construction, Seoul, 06527, Republic of Korea.
  • Hyeonjeong Lee
    Bio-Intelligence & Data Mining Laboratory, School of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Korea.
  • Sumin Jeong
    Department of Chemical Engineering, Gyeongsang National University, Jinjudae-ro 501, Jinju-si, Gyeongsangnam-do, 52828, Republic of Korea.
  • Byeongmin Ha
    Department of Chemical Engineering, Gyeongsang National University, Jinjudae-ro 501, Jinju-si, Gyeongsangnam-do, 52828, Republic of Korea.
  • Soonho Hwangbo
    Process and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Building 229, 2800 Kgs. Lyngby, Denmark.
  • Jeehoon Han
    Department of Chemical Engineering, Pohang University of Science and Technology, Cheongam-ro 77, Nam-gu, Pohang-si, Gyeongsangbuk-do, 37673, Republic of Korea. Electronic address: jhhan@postech.ac.kr.