A Mathematical Model to Predict the Microalgal Growth in an Open Pond Cultivation : A location based approach

M. N. Rammuni, T. Ariyadasa, P. Nimarshana, RA Attalage
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引用次数: 1

Abstract

Cultivation is the paramount step of microalgae bioprocessing as a concentrated and flourished biomass broth will result in higher recoveries of its metabolites. But there is scarce model development for the prediction of microalgae biomass productivity in outdoor cultivation systems under the fluctuations of process conditions. Hence, this study develops a mathematical model based on the first principles with a nonlinear approach to forecast the microalgae growth in open ponds under non-optimal cultivation conditions in respect of the location. The model accounts for the effect of temperature, solar irradiance level, availability of nutrients in the cultivation medium and the effect of local climatic conditions over the microalgae growth. The model is validated against the experimental results from literature data and model analyses have been proceeded to determine the effect of variations in process parameters on the microalgae biomass yield.
露天池塘微藻生长预测的数学模型:基于位置的方法
培养是微藻生物处理的首要步骤,因为浓缩和繁盛的生物质肉汤将导致其代谢产物的更高回收率。但目前还缺乏预测工艺条件波动下室外养殖系统微藻生物量生产力的模型开发。因此,本研究建立了基于第一性原理的数学模型,采用非线性方法预测非最优养殖条件下露天池塘微藻的生长情况。该模型考虑了温度、太阳辐照水平、培养基中营养物质的有效性以及当地气候条件对微藻生长的影响。根据文献数据的实验结果对模型进行了验证,并进行了模型分析,以确定工艺参数变化对微藻生物量产量的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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