The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
National microalgae biofuel production potential and resource demand
Abstract
Microalgae are receiving increased global attention as a potential sustainable “energy crop” for biofuel production. An important step to realizing the potential of algae is quantifying the demands commercial‐scale algal biofuel production will place on water and land resources. We present a high‐resolution spatiotemporal assessment that brings to bear fundamental questions of where production can occur, how many land and water resources are required, and how much energy is produced. Our study suggests that under current technology, microalgae have the potential to generate 220 × 10 9 L yr−1 of oil, equivalent to 48% of current U.S. petroleum imports for transportation. However, this level of production requires 5.5% of the land area in the conterminous United States and nearly three times the water currently used for irrigated agriculture, averaging 1421 L water per liter of oil. Optimizing the locations for microalgae production on the basis of water use efficiency can greatly reduce total water demand. For example, focusing on locations along the Gulf Coast, southeastern seaboard, and Great Lakes shows a 75% reduction in consumptive freshwater use to 350 L per liter of oil produced with a 67% reduction in land use. These optimized locations have the potential to generate an oil volume equivalent to 17% of imports for transportation fuels, equal to the Energy Independence and Security Act year 2022 “advanced biofuels” production target and utilizing some 25% of the current irrigation demand. With proper planning, adequate land and water are available to meet a significant portion of the U.S. renewable fuel goals.
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Cites
Numerical Heat Transfer and Fluid Flow
Patankar, S. V. (2018) · CRC Press eBooks · doi:10.1201/9781482234213 · Cited by 23,360
Chisti, Y. (2007) · Biotechnology Advances · doi:10.1016/j.biotechadv.2007.02.001 · Cited by 9,524
Microalgae for biodiesel production and other applications: A review
Mata, T. M., Martins, A. A., & Caetano, N. S. (2010) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2009.07.020 · Cited by 5,685 · cited 10×
“For example, numerous algal strains have been shown to produce 20%–50% of their dry weight biomass as lipids, resulting in oil yields of 14,000 L ha−1 yr [Mascarelli, 2009], compared to 172 L ha yr for corn, 636 L ha yr for soybean, 974 L ha yr for canola (rapeseed), and 1070 L ha yr−1 for sunflower [Mata et al., 2010…”
BackgroundInfluentialCommercial Applications of Microalgae
Spolaore, P., Joannis-Cassan, C., Duran, E., & Isambert, A. (2006) · Journal of Bioscience and Bioengineering · doi:10.1263/jbb.101.87 · Cited by 4,285
Daly, C., Halbleib, M., Smith, J. I., Gibson, W. P., Doggett, M. K., Taylor, G. H., Curtis, J., & Pasteris, P. P. (2008) · International Journal of Climatology · doi:10.1002/joc.1688 · Cited by 3,100
Second Generation Biofuels: High-Efficiency Microalgae for Biodiesel Production
Schenk, P. M., Thomas-Hall, S. R., Stephens, E., Marx, U. C., Mussgnug, J. H., Posten, C., Kruse, O., & Hankamer, B. (2008) · BioEnergy Research · doi:10.1007/s12155-008-9008-8 · Cited by 2,333
Biodiesel from microalgae beats bioethanol
Chisti, Y. (2008) · Trends in Biotechnology · doi:10.1016/j.tibtech.2007.12.002 · Cited by 2,128
Sheehan, J., Dunahay, T., Benemann, J., & Roessler, P. (1998) · doi:10.2172/15003040 · Cited by 1,753
Williams, P. J. L. B., & Laurens, L. M. L. (2010) · Energy & Environmental Science · doi:10.1039/b924978h · Cited by 1,223
CO2 bio-mitigation using microalgae
Wang, B., Li, Y., Wu, N., & Lan, C. Q. (2008) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-008-1518-y · Cited by 1,212
Cited by
Production cost of a real microalgae production plant and strategies to reduce it
Acién, F. G., Fernández, J. M., Magán, J. J., & Molina, E. (2012) · Biotechnology Advances · doi:10.1016/j.biotechadv.2012.02.005 · Cited by 735
Aviation CO2 emissions reductions from the use of alternative jet fuels
Staples, M. D., Malina, R., Suresh, P., Hileman, J. I., & Barrett, S. R. H. (2018) · Energy Policy · doi:10.1016/j.enpol.2017.12.007 · Cited by 323
Resource demand implications for us algae biofuels production scale-up
Pate, R., Klise, G., & Wu, B. (2011) · Applied Energy · doi:10.1016/j.apenergy.2011.04.023 · Cited by 315
Beal, C. M., Gerber, L. N., Sills, D. L., Huntley, M. E., Machesky, S. C., Walsh, M. J., Tester, J. W., Archibald, I., Granados, J., & Greene, C. H. (2015) · Algal Research · doi:10.1016/j.algal.2015.04.017 · Cited by 285
Laurens, L. M. L., Markham, J., Templeton, D. W., Christensen, E. D., Van Wychen, S., Vadelius, E. W., Chen-Glasser, M., Dong, T., Davis, R., & Pienkos, P. T. (2017) · Energy & Environmental Science · doi:10.1039/c7ee01306j · Cited by 260
Metadata
- Authors
- Wigmosta, M. S., Coleman, A. M., Skaggs, R. J., Huesemann, M. H., & Lane, L. J.
- Venue
- Water Resources Research
- Publisher
- American Geophysical Union (AGU)
- Published
- 2011-03
- Volume
- 47
- Issue
- 3
- ISSN
- 0043-1397 (ISSN-L)
- 1944-7973
- OpenAlex
- W1865658027
- Cited by
- 289
- References
- 33
- FWCI
- 10.51
- Type
- journal article
- Language
- en
- Open access
- closed
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