A growth inhibitory model with SO_x influenced effective growth rate for estimation of algal biomass concentration under flue gas atmosphere

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• 作者：Srinivasa Reddy Ronda ; Ch ; rika Kethineni ; Lakshmi Ch ; rika Pavani Parupudi ; Venkata Bala Sai Chaitanya Thunuguntla ; S ; eep Vemula ; Vijaya Saradhi Settaluri ; Prasada Rao Allu ; Suresh Kumar Gr ; e ; Suraj Sharma ; Chari Venkatakrishna K ; ala
• 关键词：Microalgae ; Biomass ; Flue gas ; Flow rate ; Modeling
• 刊名：Bioresource Technology
• 出版年：January, 2014
• 年：2014
• 卷：152
• 期：Complete
• 页码：283-291
• 全文大小：1029 K

文摘

A theoretical model for the prediction of biomass concentration under rice husk flue gas emission has been developed. The growth inhibitory model (GIM) considers the CO₂ mass transfer rate, the critical SO_x concentration and its role in pH-based inter-conversion of bicarbonate. The calibration and subsequent validation of the growth profile of Nannochloropsis limnetica at 2% and 10% (v/v) CO₂ showed that the predicted values were consistent with the measured values, with r² being 0.96 and 0.98, respectively, and p < 0.001 in both cases. The constants used in the GIM for the prediction of biomass have been justified using sensitivity analysis. GIM applicability was defined as 卤30% of the calibrated flow rate (3.0 L min^鈭?). This growth model can be applied to predict algal growth in photo-bioreactors treated with flue gas in the generation of biomass feed stock for biofuel production.