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Optimizing microalgal productivity in raceway ponds through a controlled mixing device

机译:通过受控混合装置优化滚道池塘中的微藻生产率

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This paper focuses on mixing strategies to enhance the growth of microalgae in a raceway pond. The flow is assumed to be laminar and the Han model describing the dynamics of the photosystems is used as a basis to determine growth rate as a function of light history. A device controlling the mixing is assumed, which means that the order of the cells along the different layers can be rearranged at each new lap according to a permutation matrix $P$. The order of cell depth hence the light perceived is consequently modified on a cyclical basin. The dynamics of the photosystems are computed over $K$ laps of the raceway with permutation $P$. It is proven that if a periodic regime is reached, it will be periodic immediately after the first lap, which enables to reduce significantly the computational cost when testing all the permutations. In view of optimizing the production, a functional corresponding to the average growth rate along depth and for one lap is introduced. A suboptimal but explicit solution is proposed and compared numerically to the optimal permutation and other strategies for different cases. Finally, the expected gains in growth rate are discussed.
机译:本文侧重于混合策略,以增强滚道池塘中微藻的生长。假设流动是层流,描述了描述光系统的动态的汉族模型用作确定作为光历史的函数的生长速率的基础。假设控制混合的装置,这意味着根据置换矩阵,可以在每个新圈中重新排列沿着不同层的单元的顺序 $ p $ 。因此,在循环盆地上改变了细胞深度的顺序。光学系统的动态被计算过 $ k $ 播放轨道排列 $ p $ 。据证明,如果达到定期制度,第一圈后立即立即定期,这使得在测试所有排列时能够显着降低计算成本。鉴于优化生产,介绍了与深度和一个膝部的平均生长速率对应的功能。提出了次优,但明确的解决方案,并对不同情况进行了最佳排列和其他策略进行了比较。最后,讨论了增长率的预期收益。

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