Prediction of microalgae growth using Machine Learning models

Recently, unicellular microalgae have attracted considerable interest due to their ability to utilize CO2 in the photosynthetic process and produce various valuable compounds such as biofuels, bioplastics, pigments, and vitamins. Microalgae are a promising source for a sustainable replacement for fossil fuels in transportation and power generation. Their efficient use solar energy utilization and capacity

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The impact of nutrients on microalgae growth and what this means for biological models

Depending on the strain, microalgae are rich in protein, carbohydrates, lipids and offer highly valuable components such as astaxanthin or β‐carotene. Moreover, microalgae take up CO2 and can grow solely on sunlight with high areal productivities. Currently, microalgae biomass is mainly produced for high‐value applications related to human consumption, including nutraceuticals and pharmaceuticals. However, microalgae

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Training school in Almeria

During the last week of September 11-15, the training course “Modelling and control of industrial scale microalgae processes” took place in the city of Almeria, Spain. The training took place at the IFAPA Research Centre (La Cañada) and the University of Almeria. The ESRs were able to participate in a dynamic course consisting of state-of-the-art

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Advancing microalgae cultivation through precision temperature modeling: Achieving optimal growth with adaptive models and model predictive control

In the realm of sustainable solutions, microalgae stand out as versatile organisms with the potential to revolutionize multiple industries. From biofuels to pharmaceuticals, these microscopic powerhouses hold the promise of eco-friendly innovation. However, unlocking their full potential depends on understanding their environment, particularly the influence of temperature. Temperature modeling, a powerful tool in this endeavor,

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Digitalgaesation summer school in London

The summer school “Modelling and model development tools” was held in London on the 29th and 30th of June 2023. The workshop was organised by Siemens Process Systems Engineering and Imperial College London and took place in the Hammersmith office of Siemens Process Systems Engineering. During the workshop, the ESRs attended an introductory lecture on

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