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

被引:39
|
作者
Coleman, Andre M. [1 ]
Abodeely, Jared M. [2 ]
Skaggs, Richard L. [3 ]
Moeglein, William A. [4 ]
Newby, Deborah T. [2 ]
Venteris, Erik R. [1 ]
Wigmosta, Mark S. [1 ]
机构
[1] Pacific NW Natl Lab, Hydrol Tech Grp, Richland, WA 99352 USA
[2] Idaho Natl Lab, Biofuels & Renewable Energy Technol, Idaho Falls, ID 83415 USA
[3] Pacific NW Natl Lab, Earth Syst Sci, Richland, WA 99352 USA
[4] Pacific NW Natl Lab, Software Syst & Architecture Tech Grp, Richland, WA 99352 USA
来源
ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS | 2014年 / 5卷
关键词
Microalgae; Biofuels; Techno-economic analysis; Resource assessment; Scaling; Process design; TECHNOECONOMIC ANALYSIS; UNITED-STATES; BIODIESEL; AVAILABILITY; CHALLENGES; CONVERSION; MODEL;
D O I
10.1016/j.algal.2014.05.008
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Successful development of a large-scalemicroalgae-based biofuels industry requires comprehensive analysis and understanding of the feedstock supply chain-fromfacility 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. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:79 / 94
页数:16
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