Cited by 31Algal biology and biofuel productionEnvironmental Impact and SustainabilityWater-Energy-Food Nexus Studies

Geographical assessment of open pond algal productivity and evaporation losses across the United States

Open access
Quiroz, David, Greene, Jonah M., McGowen, John, Quinn, Jason C.·2021·Algal Research

Abstract

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.algal.2021.102483

Cites

5 of 5 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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?

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

Flagged first, then by citations

Cited by

Sorted by citations

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
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