Rodríguez-Miranda Enrique, Acién Francisco G, Guzmán Jose L, Berenguel Manuel, Visioli Antonio
Department of Mechanical and Industrial Engineering, University of Brescia, Brescia, Italy.
Dep. de Ingeniería, Universidad de Almería, CIESOL, Almería, Spain.
Biotechnol Bioeng. 2021 Feb;118(2):877-889. doi: 10.1002/bit.27617. Epub 2020 Nov 17.
In this study a simplified temperature model for raceway reactors is developed, allowing to determine the temperature of the microalgae culture as a function of reactor design and environmental conditions. The model considers the major phenomena taking place in raceway reactors, especially heat absorption by radiation and heat losses by evaporation among others. The characteristic parameters of the model have been calibrated using genetic algorithms, next being validated with a long set of more than 50 days covering different weather conditions. It is worth to highlight the use of the developed model as a tool to analyze the influence of the temperature on the performance of microalgae cultures at large scale. As example, the annual variation of the performance of up to five different microalgae strains has been determined by computing the temperature index, thus the normalized value of performance of whatever microalgae at the real temperature with respect to that achievable at optimal temperature can be established. Results confirm that only strains tolerant to wide ranges of temperature can be efficiently produced all the year around in large scale outdoor raceway reactors without additional temperature control systems.
在本研究中，开发了一种用于跑道式反应器的简化温度模型，该模型能够根据反应器设计和环境条件确定微藻培养物的温度。该模型考虑了跑道式反应器中发生的主要现象，尤其是辐射热吸收和蒸发热损失等。模型的特征参数已使用遗传算法进行校准，接下来用涵盖不同天气条件的长达50多天的数据集进行验证。值得强调的是，所开发的模型可作为一种工具，用于分析温度对大规模微藻培养性能的影响。例如，通过计算温度指数确定了多达五种不同微藻菌株性能的年度变化，从而可以建立任何微藻在实际温度下的性能相对于最佳温度下可实现性能的归一化值。结果证实，只有能耐受宽温度范围的菌株才能在没有额外温度控制系统的大规模室外跑道式反应器中全年高效生产。
