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Microalgal biomass surface productivity optimization based on a photobioreactor model

机译:基于光生物反应器模型的微藻生物质表面生产率优化

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In this paper we predict and optimize the biomass surface productivity of microalgae in continuous culture under a constant light source. Surface biomass is identified as a key variable for assessing productivity: we provide both a mathematical and intuitive explanation. For reaching maximal productivities, biomass surface concentration must be such that growth at the culture bottom (assuming a planar geometry orthogonal to the light source) must be equal to respiration. Therefore the optimal biomass concentration depends both on the incident light and culture's depth. We then show how the chlorophyll/carbon ratio must also be carefully controlled to optimize light use in the photobioreactor. Finally, numerical results illustrate our theoretical approach.
机译:在本文中,我们在恒定光源下的连续培养中预测和优化微藻的生物质表面生产率。表面生物质被识别为用于评估生产率的关键变量:我们提供数学和直观的解释。为了达到最大产品,生物质表面浓度必须使得培养物底部的生长(假设与光源正交的平面几何形状)必须等于呼吸。因此,最佳的生物质浓度取决于入射光和培养的深度。然后,我们展示了如何仔细控制叶绿素/碳比以优化光生物反应器中的光线。最后,数值结果说明了我们的理论方法。

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