Experimental Study and Numerical Modeling of CO2 Bio-Fixation in a Continues Photobioreactor

Q4 Chemical Engineering
A. Mohammadi, Hamed Abedini
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引用次数: 0

Abstract

A dynamic numerical model was developed to predict the biomass concentration, pH, and carbon dioxide fixation rate in the continuous culture of cyanobacteria in a photobioreactor. The model is based on the growth rate equation of microalgae combined with mass transfer equations for gas and liquid phases in the photobioreactor as well as thermodynamic equilibrium of inorganic carbon ions in the culture media. The model was validated by comparing its predictions with experimental results obtained from turbidostat cultivation of Synechocystis in a flat-plate photobioreactor. Optical density, pH, and CO2 concentration in outlet gas were measured continuously in this photobioreactor. The model was used to simulate this system at the same conditions that the experiments were performed at two light intensities of 75 mE/m2/s and 150 mE/m2/s. Although the growth rate and outlet gas CO2 concentration were quite different at these two light intensities, the model predicted the system behavior accurately. The average error in the prediction of biomass concentration, pH, and outlet gas CO2 concentration was 0.40%, 0.61%, and 0.34%, respectively.
连续光生物反应器中CO2生物固定的实验研究与数值模拟
建立了一个动态数值模型来预测蓝藻在光生物反应器中连续培养的生物量浓度、pH值和二氧化碳固定率。该模型基于微藻生长速率方程,结合光生物反应器内气、液相传质方程以及培养基中无机碳离子的热力学平衡。通过将模型的预测结果与在平板光生物反应器中培养聚囊藻的实验结果进行比较,验证了模型的有效性。在该光生物反应器中连续测量光密度、pH和出口气体CO2浓度。在75 mE/m2/s和150 mE/m2/s两种光强条件下,用该模型模拟了该系统。虽然在这两种光强下生长速率和出口CO2浓度有较大差异,但该模型准确地预测了体系的行为。预测生物量浓度、pH和出口气体CO2浓度的平均误差分别为0.40%、0.61%和0.34%。
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CiteScore
1.20
自引率
0.00%
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审稿时长
8 weeks
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