Geographical assessment of open pond algal productivity and evaporation losses across the United States
Open accessAbstract
This study presents a geographical and temporal assessment of the evaporation losses for commercial-scale production of algae biomass through a dynamic integrated thermal and biological modeling framework. Evaporation losses were calculated through a validated dynamic thermal model which predicts temperature with an accuracy of −0.96 ± 2.72 °C and evaporation rates with a 1.46 ± 5.92% annual accuracy. The biological model was validated with experimental data representing the current state of technology and shows an average error of −4.59 ± 8.13%. The integrated thermal growth model was then utilized to simulate the evaporation losses for biomass production of a 400-hectare algae farm at 198 different locations across the United States over a period of 21 years. This foundation is integrated with life cycle methodology to determine the blue water footprint of algal biomass , proteins, and biofuels. Results show the water consumption of cultivation can be reduced through cultivation in the Gulf Coast region compared to other US locations, where the average blue water footprints of the three simulated pathways were determined to be 155 m 3 water tonne −1 biomass, 371 m 3 water tonne −1 algal proteins , and 11 m 3 GJ −1 biofuel. The blue water footprints of algal biomass were found to be comparable to those of wheat, sorghum, and corn . In terms of proteins, algal proteins are the least water-intensive being two times more water-efficient than proteins from soybeans. When compared to petroleum-based fuels, results emphasize the need for more water-efficient strategies to reduce the blue water footprint of algal biofuel production. This work also incorporates a novel temperature tolerance assessment to identify the geographically specific temperature limits for algal strains in a commercial-scale facility. Results highlight the importance of high temporal and spatial resolution when modeling culture temperature, evaporative loss , and algae growth rate.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The photon efficiency of 1.5 g biomass mol-1 photons was based on validation done by Quiroz et al.
“The photon efficiency was set to 1.5 g biomass mol -1 photons based on the validation done by Quiroz et al. [14].”
From Implications of Pond Reliability on the Techno-Economic and Life Cycle Environmental Impacts of Algal Biofuels (2024) · cites this paper as [14]
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 [14]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Environmental Life Cycle Comparison of Algae to Other Bioenergy Feedstocks
Clarens, A. F., Resurreccion, E. P., White, M. A., & Colosi, L. M. (2010) · Environmental Science & Technology · doi:10.1021/es902838n · Cited by 1,118 · see citing works
Carneiro, M. L. N. M., Pradelle, F., Braga, S. L., Gomes, M. S. P., Martins, A. R. F. A., Turkovics, F., & Pradelle, R. N. C. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.01.152 · Cited by 239 · see citing works
Alami, A. H., Alasad, S., Ali, M., & Alshamsi, M. (2021) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.143529 · Cited by 170 · see citing works
Davis, R., Kinchin, C., Markham, J., Tan, E., Laurens, L., Sexton, D., Knorr, D., Schoen, P., & Lukas, J. (2014) · doi:10.2172/1159351 · Cited by 131 · see citing works
Geographical assessment of microalgae biofuels potential incorporating resource availability
Quinn, J. C., Catton, K. B., Johnson, S., & Bradley, T. H. (2013) · BioEnergy Research · doi:10.1007/s12155-012-9277-0 · Cited by 67 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Fourth generation biofuel from genetically modified algal biomass for bioeconomic development
Shokravi, H., Heidarrezaei, M., Shokravi, Z., Ong, H. C., Lau, W. J., Din, M. F. M., & Ismail, A. F. (2022) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2022.10.010 · Cited by 49 · see citing works
Greene, J. M., Quiroz, D., Limb, B. J., & Quinn, J. C. (2025) · Environmental Science & Technology · doi:10.1021/acs.est.4c06742 · Cited by 39 · see citing works
Self-citationQuiroz, D., McGowen, J., & Quinn, J. C. (2024) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2024.143178 · Cited by 7 · see citing works
Self-citationBanks, A. B., Chen, P. H., Quiroz-Arita, C., Davis, R. W., & Quinn, J. C. (2023) · Algal Research · doi:10.1016/j.algal.2023.103100 · Cited by 3 · see citing works
Self-citation
- Authors
- Quiroz, D., Greene, J. M., McGowen, J., & Quinn, J. C.
- Affiliations
- Colorado State University (US)
- Arizona State University (US)
- Corresponding author
- Quinn, Jason C.
- Venue
- Algal Research
- Publisher
- Elsevier BV
- Published
- 2021-12
- Volume
- 60
- Pages
- 102483
- ISSN
- 2211-9264 (ISSN-L)
- OpenAlex
- W3203870210
- Cited by
- 31
- References
- 5
- Citations by year
- 2026: 7 · 2025: 9 · 2024: 4 · 2023: 8 · 2022: 3
- FWCI
- 0.70
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Algal Research (publishedVersion, cc-by-nc-nd)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- U.S. Department of Energy (DE-EE0008902, DE-EE0008906)
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Physical Sciences › Environmental Science › Environmental Engineering › Environmental Impact and Sustainability
- Physical Sciences › Environmental Science › Water Science and Technology › Water-Energy-Food Nexus Studies
- Keywords
- evaporation losses, algal biomass production, blue water footprint, algal biofuels, algal proteins, heat tolerance, water consumption, life cycle assessment, United States
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review