2014
DOI: 10.1016/j.algal.2014.05.008
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An integrated assessment of location-dependent scaling for microalgae biofuel production facilities

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Cited by 48 publications
(44 citation statements)
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References 37 publications
(79 reference statements)
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“…The use of drylands for microalgal production, which in general are less suitable for cropping (Alexandratos & Bruinsma, ) and hold lower biodiversity values compared to more humid regions (Gaston, ), would decrease direct competition with high‐value agricultural and biodiverse lands. In contrast, several studies developed in the United States show that humid regions are the most feasible locations for large‐scale microalgal production (Coleman et al, ; Venteris, McBride, et al, ; Venteris et al, ; Wigmosta et al, ). These studies indicate that the consumption of water per liter of microalgal oil and the costs associated with water pumping would be lower in the Southeastern United States (i.e., mainly around the Gulf and East Coasts) compared to the drier southwestern lands, where water demands and water pumping costs increase as a result of higher evaporation rates relative to precipitation.…”
Section: Discussionmentioning
confidence: 96%
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“…The use of drylands for microalgal production, which in general are less suitable for cropping (Alexandratos & Bruinsma, ) and hold lower biodiversity values compared to more humid regions (Gaston, ), would decrease direct competition with high‐value agricultural and biodiverse lands. In contrast, several studies developed in the United States show that humid regions are the most feasible locations for large‐scale microalgal production (Coleman et al, ; Venteris, McBride, et al, ; Venteris et al, ; Wigmosta et al, ). These studies indicate that the consumption of water per liter of microalgal oil and the costs associated with water pumping would be lower in the Southeastern United States (i.e., mainly around the Gulf and East Coasts) compared to the drier southwestern lands, where water demands and water pumping costs increase as a result of higher evaporation rates relative to precipitation.…”
Section: Discussionmentioning
confidence: 96%
“…Three main objectives were considered in the analysis: maximization of profitability in microalgal biodiesel production, minimization of direct competition with food production, and minimization of direct impacts on biodiversity (Figure S1). Based on the reviewed literature (Bennett, Turn, & Chan, ; Borowitzka et al, ; Boruff, Moheimani, & Borowitzka, ; Bravo‐Fritz, Sáez‐Navarrete, Herrera, & Ginocchio, ; Chiu & Wu, ; Coleman et al, ; Fortier & Sturm, ; Klise, Roach, & Passell, ; Lundquist et al, ; Mohseni, Pishvaee, & Sahebi, ; Niblick & Landis, ; Orfield et al, ; Prasad, Pullar, & Pratt, ; Quinn, Catton, Johnson, & Bradley, ; Quinn, Catton, Wagner, & Bradley, ; Roostaei & Zhang, ; Sharma et al, ; Venteris, McBride, Coleman, Skaggs, & Wigmosta, ; Venteris, Skaggs, Coleman, & Wigmosta, , ; Venteris et al, ; Venteris, Skaggs, Wigmosta, & Coleman, ; Wigmosta, Coleman, Skaggs, Huesemann, & Lane, ), a set of attributes that capture the complexity of microalgal biodiesel production were selected, either because they are essential for microalgal cultivation or because they have shown to maximize the profitability of microalgal biodiesel production (Sharma et al, ): water availability, lipid productivity, availability of flat lands, proximity to main transport networks (i.e., main roads and railroads), GNI per capita (used as a substitute for the availability of low labor costs), and proximity to known industrial CO 2 sources. Water availability is essential for microalgal cultivation (Chisti, ; Schenk et al, ) while lipid productivity is proportional to biodiesel production, increasing the profitability of microalgal biofuel production (Moody, McGinty, & Quinn, ; Quinn, Winter, & Bradley, ; Slade & Bauen, ).…”
Section: Methodsmentioning
confidence: 99%
“…1 depicts an example of typical variation in productivity over a year using a biomass growth model, where seasonal temperature variation is a key variable [85]. Productivity during spring (March through May) and fall (September through November) are estimated to be approximately 47% and 34% lower, respectively, than during peak summer months (June through August) [85].…”
Section: Temperature Variationmentioning
confidence: 99%
“…Other factors, such as land value, land availability, facilities cost, existing land use, closures to resources and infrastructures, climate requirements, government policies and supports have also been reported as fundamental barriers to development of the biofuel industry Coleman et al, 2014;Mata et al, 2010;Maxwell et al, 1985;Wigmosta et al, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…Recently there is growing interest to examine how these opportunities vary across space and ideal land use suitability allocation Coleman et al, 2014;Das and Salam, 2014;Klise et al, 2011;Maxwell et al, 1985;Quinn et al, 2012).…”
Section: Introductionmentioning
confidence: 99%