Department of Mechanical and Industrial Engineering, University of Brescia, Brescia, Italy.
Departamento de Ingeniería Química, CIESOL ceiA3, Universidad de Almería, Almería, Spain.
Biotechnol J. 2022 Sep;17(9):e2100489. doi: 10.1002/biot.202100489. Epub 2022 May 24.
Irradiance and temperature are among the most important variables that affect microalgae growth, being both difficult to control in outdoor raceway reactors utilized for large-scale production of microalgae biomass. They are mainly a function of the location of the reactors, thus, producing certain strains of microalgae in inappropriate places conduces to the failure of the systems. To be able to determine important parameters of any microalgae strains on the performance of the culture, such as the influence of irradiance and temperature, is a powerful tool in decision-making processes. In addition, whatever the strain and location, operation strategies must be defined for each specific case, such as the imposed dilution rate and culture depth, both influencing the light availability and temperature of the culture as major variables determining the biomass productivity. In this paper, a simulation-based methodology is proposed to establish the influence of season and culture depth on the 1-year age irradiance and temperature of the culture, and thus on the biomass productivity of different microalgae strains. Up to five of the most frequently produced strains, such as Spirulina platensis, Chlorella vulgaris, Nannochloropsis gaditana, Isochrysis galbana, and Scenedesmus almeriensis have been considered. The challenge is to develop an easy-to-manage decision-making tool for the optimal design and operation of large-scale microalgae facilities. Especially, dates for microalgae production and culture depth at which the reactors must be operated will be provided, being valid for any microalgae strain. The proposed methodology will largely contribute to the risk of investment in this field, then to enlarge the relevance of the microalgae production industry.
辐照度和温度是影响微藻生长的最重要变量之一，在用于大规模生产微藻生物量的户外跑道式反应器中，这两者都很难控制。它们主要是反应器位置的函数，因此，在不合适的地方生产某些微藻菌株会导致系统失效。能够确定任何微藻菌株在培养性能方面的重要参数，如辐照度和温度的影响，是决策过程中的有力工具。此外，无论菌株和位置如何，都必须为每个特定情况定义操作策略，例如施加的稀释率和培养深度，这两者都会影响光可用性和培养温度，因为它们是决定生物量生产力的主要变量。在本文中，提出了一种基于模拟的方法来确定季节和培养深度对培养物 1 年龄辐照度和温度的影响，从而确定不同微藻菌株的生物量生产力。考虑了五种最常生产的菌株，如螺旋藻、普通小球藻、栅藻、金藻和盐藻。挑战在于开发一种易于管理的决策工具，用于优化大规模微藻设施的设计和操作。特别是，将提供用于微藻生产的日期和必须操作的培养深度，这些日期和深度适用于任何微藻菌株。所提出的方法将大大有助于投资该领域的风险，从而扩大微藻生产行业的相关性。
