Global evaluation of biofuel potential from microalgae
Open accessAbstract
In the current literature, the life cycle, technoeconomic, and resource assessments of microalgae-based biofuel production systems have relied on growth models extrapolated from laboratory-scale data, leading to a large uncertainty in results. This type of simplistic growth modeling overestimates productivity potential and fails to incorporate biological effects, geographical location, or cultivation architecture. This study uses a large-scale, validated, outdoor photobioreactor microalgae growth model based on 21 reactor- and species-specific inputs to model the growth of Nannochloropsis. This model accurately accounts for biological effects such as nutrient uptake, respiration, and temperature and uses hourly historical meteorological data to determine the current global productivity potential. Global maps of the current near-term microalgae lipid and biomass productivity were generated based on the results of annual simulations at 4,388 global locations. Maximum annual average lipid yields between 24 and 27 m(3)·ha(-1)·y(-1), corresponding to biomass yields of 13 to 15 g·m(-2)·d(-1), are possible in Australia, Brazil, Colombia, Egypt, Ethiopia, India, Kenya, and Saudi Arabia. The microalgae lipid productivity results of this study were integrated with geography-specific fuel consumption and land availability data to perform a scalability assessment. Results highlight the promising potential of microalgae-based biofuels compared with traditional terrestrial feedstocks. When water, nutrients, and CO2 are not limiting, many regions can potentially meet significant fractions of their transportation fuel requirements through microalgae production, without land resource restriction. Discussion focuses on sensitivity of monthly variability in lipid production compared with annual average yields, effects of temperature on productivity, and a comparison of results with previous published modeling assumptions.
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Global annual productivity yields have been predicted to potentially reach 13 to 15 g m−2 d−1.
“Global annual productivity yields have been predicted to potentially reach 13 to 15 g m -2 d -1 [6].”
From Microalgae to biofuels through hydrothermal liquefaction: Open-source techno-economic analysis and life cycle assessment (2021) · cites this paper as [6]
Previous modeling efforts have leveraged dynamic thermal models to estimate potential facility downtime caused by pond freezing events but neglect the effects of pest contamination.
“In addition, previous modeling efforts [5], [13], [14] have leveraged dynamic thermal models to estimate potential facility downtime caused by pond freezing events but neglect the effects of pest contamination.”
From Implications of Pond Reliability on the Techno-Economic and Life Cycle Environmental Impacts of Algal Biofuels (2024) · cites this paper as [5]
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Self-citation
- Authors
- Moody, J. W., McGinty, C. M., & Quinn, J. C.
- Affiliations
- Mechanical and Aerospace Engineering and
- Utah State University (US)
- ORCID
- Quinn, Jason C.
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2014-05-27
- Volume
- 111
- Issue
- 23
- Pages
- 8691-8696
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4060706
- OpenAlex
- W2128839129
- Cited by
- 235
- References
- 57
- Citations by year
- 2026: 1 · 2025: 13 · 2024: 11 · 2023: 11 · 2022: 18 · 2021: 32 · 2020: 21 · 2019: 27 · 2018: 20 · 2017: 27 · 2016: 30 · 2015: 17 · 2014: 7
- FWCI
- 8.89
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Digital Commons - USU (Utah State University) (submittedVersion)
- Digital Commons - USU (Utah State University)
- Funders
- U.S. Department of Energy (DEEE0003114)
- Utah State University
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Bioenergy crop production and management
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Keywords
- microalgal biofuels, Nannochloropsis, photobioreactors, lipid productivity, biomass productivity, scalability assessment, transportation fuels, nutrient uptake, CO2 availability, land availability, water availability
- MeSH terms
- Algorithms, Geography, Industrial Microbiology, Light, Lipids, Models, Biological, Temperature, Reproducibility of Results, Biomass, Biofuels, Stramenopiles, Microalgae, Photobioreactors
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