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首页> 外文期刊>International journal of energy research >TRANSIENT ANALYSIS AND PERFORMANCE STUDIES OF TWO TUBULAR PHOTOBIOREACTORS FOR OUTDOOR CULTURE OF SPIRULINA
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TRANSIENT ANALYSIS AND PERFORMANCE STUDIES OF TWO TUBULAR PHOTOBIOREACTORS FOR OUTDOOR CULTURE OF SPIRULINA

机译:螺旋藻室外培养的两种管状生物反应器的瞬态分析和性能研究

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摘要

A mathematical model to make a transient thermal analysis and to estimate the incident solar energy for two designs of tubular photobioreactor installed outdoors is presented here. In the first photobioreactor design the tubes were arranged in one plane, whereas in the second the tubes were arranged in two planes. The model was validated by comparing the experimental data and predicted values of culture temperature. Both the input solar energy and culture temperature in a tubular photobioreactor may be predicted with a reasonable degree of accuracy by employing the model. The performance of the two photobioreactors for mass culture of Spirulina was also studied in relation to their design and culture temperature. The average biomass yield obtained in one-plane and two-plane photobioreactors were (dry weight) 23.7 g m~(-2) day~(-1) and 27.8 g m~(-2) day~(-1) respectively. Such biomass yields corresponded to a volumetric productivity of (dry weight) 0.466 g litre~(-1) day~(-1) in the one-plane reactor and 1.5 g litre~(-1) day~(-1) in the two-plane reactor. We further observed that biomass yield could be increased by about 21% when the culture temperature was maintained at the optimal value of 35℃ compared to another culture in which temperature changed according to the ambient temperature from 20 to 39℃ during the day.
机译:这里介绍了一个数学模型,该模型可以进行瞬态热分析并估算安装在室外的两种管式光生物反应器的两种设计的入射太阳能。在第一种光生物反应器设计中,将试管布置在一个平面中,而在第二种设计中,试管布置在两个平面中。通过比较实验数据和培养温度的预测值来验证该模型。通过使用该模型,可以以合理的准确度预测管状光生物反应器中的输入太阳能和培养温度。还研究了两种光生物反应器在螺旋藻大量培养中的性能及其设计和培养温度。在一个平面和两个平面的光生物反应器中获得的平均生物量产量为(干重)23.7 g m〜(-2)天〜(-1)和27.8 g m〜(-2)天〜(-1)。这样的生物质产量对应于单平面反应器中的(干重)0.466 g升〜(-1)天〜(-1)和1.5 g升〜(-1)天〜(-1)的容积生产率。两平面反应堆。我们进一步观察到,与另一种温度根据一天的温度从20℃变​​化到39℃的另一种培养物相比,当将培养物温度保持在35℃的最佳值时,生物量产量可提高约21%。

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