An integrated assessment of location-dependent scaling for microalgae biofuel production facilities

Successful development of a large-scale microalgae-based biofuels industry requires comprehensive analysis and understanding of the feedstock supply chain—from facility siting and design through processing and upgrading of the feedstock to a fuel product. The evolution from pilot-scale production fa...

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Bibliographic Details
Published in:Algal research (Amsterdam) 2014-07, Vol.5, p.79-94
Main Authors: Coleman, André M., Abodeely, Jared M., Skaggs, Richard L., Moeglein, William A., Newby, Deborah T., Venteris, Erik R., Wigmosta, Mark S.
Format: Article
Language:English
Subjects:
09 BIOMASS FUELS
Biofuels
Microalgae
Process design
Resource assessment
Scaling
Techno-economic analysis
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Summary:Successful development of a large-scale microalgae-based biofuels industry requires comprehensive analysis and understanding of the feedstock supply chain—from facility siting and design through processing and upgrading of the feedstock to a fuel product. The evolution from pilot-scale production facilities to energy-scale operations presents many multi-disciplinary challenges, including a sustainable supply of water and nutrients, operational and infrastructure logistics, and economic competitiveness with petroleum-based fuels. These challenges are partially addressed by applying the Integrated Assessment Framework (IAF) – an integrated multi-scale modeling, analysis, and data management suite – to address key issues in developing and operating an open-pond microalgae production facility. This is done by analyzing how variability and uncertainty over space and through time affect feedstock production rates, and determining the site-specific “optimum” facility scale to minimize capital and operational expenses. This approach explicitly and systematically assesses the interdependence of biofuel production potential, associated resource requirements, and production system design trade-offs. To provide a baseline analysis, the IAF was applied to a set of sites in the southeastern U.S. with the potential to cumulatively produce 5 billion gallons per year. The results indicate costs can be reduced by scaling downstream processing capabilities to fit site-specific growing conditions, available and economically viable resources, and specific microalgal strains. [Display omitted] •Model of production, resources, logistics, energetics, cost, and design trade-offs•Method to scale production facilities in order to minimize costs and uncertainty•Site design scaling is non-linear and identifies trade-offs and economies of scale.•The “production duration curve” captures magnitude and duration of productivity.•The use of average annual or maximum production rates is not ideal for TEA.
ISSN:2211-9264
2211-9264
DOI:10.1016/j.algal.2014.05.008