Cited by 50Environmental Impact and SustainabilityAlgal biology and biofuel productionMicrobial Metabolic Engineering and Bioproduction

Environmental impacts and limitations of third‐generation biobutanol: Life cycle assessment of n ‐butanol produced by genetically engineered cyanobacteria

Nilsson, Astrid, Shabestary, Kiyan, Brandão, Miguel, Hudson, Elton P.·2020·Journal of Industrial Ecology

Abstract

Photosynthetic cyanobacteria have attracted interest as production organisms for third‐generation biofuels, where sunlight and CO 2 are used by microbes directly to synthesize fuel molecules. A particularly suitable biofuel is n ‐butanol, and there have been several laboratory reports of genetically engineered photosynthetic cyanobacteria capable of synthesizing and secreting n ‐butanol. This work evaluates the environmental impacts and cumulative energy demand (CED) of cyanobacteria‐produced n ‐butanol through a cradle‐to‐grave consequential life cycle assessment (LCA). A hypothetical production plant in northern Sweden (area 1 ha, producing 5–85 m 3 n ‐butanol per year) was considered, and a range of cultivation formats and cellular productivity scenarios assessed. Depending on the scenario, greenhouse gas emissions (GHGe) ranged from 16.9 to 58.6 gCO 2 eq/MJ BuOH and the CED from 3.8 to 13 MJ/MJ BuOH . Only with the assumption of a nearby paper mill to supply waste sources for heat and CO 2 was the sustainability requirement of at least 60% GHGe savings compared to fossil fuels reached, though placement in northern Sweden reduced energy needed for reactor cooling. A high CED in all scenarios shows that significant metabolic engineering is necessary, such as a carbon partitioning of >90% to n ‐butanol, as well as improved light utilization, to begin to displace fossil fuels or even first‐ and second‐generation bioethanol.

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Crossref · 10.1111/jiec.12843

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  • To be able to adequately use LCA approaches, a certain maturity of the technology is needed to limit significant variability due to assumptions/extrapolations due to limited data at the industrial scale.

    “To be able to adequately use LCA approaches, a certain maturity of the technology is needed to limit significant variability due to assumptions/extrapolations due to limited data at the industrial scale [125].”

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Authors
Nilsson, A., Shabestary, K., Brandão, M., & Hudson, E. P.
Affiliations
  • School of Engineering Sciences in Chemistry, Biotechnology and Health Science for Life Laboratory KTH ‐ Royal Institute of Technology Stockholm Sweden
  • Science for Life Laboratory (SE)
  • KTH Royal Institute of Technology (SE)
Corresponding author
Hudson, Elton P.
Venue
Journal of Industrial Ecology
Published
2019-04
Volume
24
Issue
1
Pages
205-216
ISSN
  • 1088-1980 (ISSN-L)
  • 1530-9290
OpenAlex
W2930523514
Cited by
50
References
12
Citations by year
2026: 6 · 2025: 5 · 2024: 5 · 2023: 11 · 2022: 8 · 2021: 11 · 2020: 4
FWCI
2.44
Type
journal article
Language
en
Open access
closed
Locations
Journal of Industrial Ecology (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Environmental Engineering › Environmental Impact and Sustainability
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
Keywords
n-butanol, photosynthetic cyanobacteria, third-generation biofuels, genetically engineered cyanobacteria, cumulative energy demand, greenhouse gas emissions, life cycle assessment, carbon allocation, light utilization, metabolic engineering

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