Full-Scale Validation of a Model of Algal Productivity
Full-Scale Validation of a Model of Algal Productivity
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DOI：
10.1021/es503204e
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发表时间：
2014-12-02
影响因子：
11.4
通讯作者：
Guieysse, Benoit
中科院分区：
文献类型：
--
作者：
Bechet, Quentin;Shilton, Andy;Guieysse, Benoit
虽然模拟藻类生产力的户外是至关重要的，以评估经济和环境性能的全面培养，迄今为止，大多数为此目的开发的模型还没有得到验证，在完全相关的条件下，特别是关于温度变化。本研究的目的是独立验证藻类生物量生产力占光照和温度的模型，并使用短期室内实验得出的参数构建。为了做到这一点，针对从在不同季节、年份和操作条件（温度控制/无温度控制、分批和分批补料制度）下在室外操作的光生物反应器（新西兰）收集的数据评估为小球藻开发的模型的准确性。该模型准确预测了所有测试条件下的实验生产率，在148天的培养中，总体准确度为+/-8.4%。因此，为了评估全面藻类养殖的可行性，使用生产力模型可以显著降低生物燃料生产成本的不确定性，同时消除水需求的不确定性，而水需求是环境影响评估的一个关键因素。在五个气候位置的模拟表明，在室外光生物反应器的温度控制将需要大量的能源，而不会显着增加藻类生物量。因此，先前的评估忽略了温度变化对光生物反应器中藻类生产力的影响可能是错误的。
While modeling algal productivity outdoors is crucial to assess the economic and environmental performance of full-scale cultivation, most of the models hitherto developed for this purpose have not been validated under fully relevant conditions, especially with regard to temperature variations. The objective of this study was to independently validate a model of algal biomass productivity accounting for both light and temperature and constructed using parameters experimentally derived using short-term indoor experiments. To do this, the accuracy of a model developed for Chlorella vulgaris was assessed against data collected from photobioreactors operated outdoor (New Zealand) over different seasons, years, and operating conditions (temperature-control/no temperature-control, batch, and fed-batch regimes). The model accurately predicted experimental productivities under all conditions tested, yielding an overall accuracy of +/-8.4% over 148 days of cultivation. For the purpose of assessing the feasibility of full-scale algal cultivation, the use of the productivity model was therefore shown to markedly reduce uncertainty in cost of biofuel production while also eliminating uncertainties in water demand, a critical element of environmental impact assessments. Simulations at five climatic locations demonstrated that temperature-control in outdoor photobioreactors would require tremendous amounts of energy without considerable increase of algal biomass. Prior assessments neglecting the impact of temperature variations on algal productivity in photobioreactors may therefore be erroneous.