Advanced techniques for model-based experiment design under uncertainty

The use of first-principles mathematical models to describe bio-chemical phenomena is paramount to the effective development of microalgae processes. Model-based design of experiments (MBDoE) represents a valuable tool providing several methodologies that assist the model-building strategy of such complex mathematical models. The objective is to design experiments (or campaigns of experiments) that will provide the

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Sensor technology fusion for on-line monitoring and control

The establishment of algae based production processes for application in different goods such as food, feed, nutritional supplements, medicine, fuel or platform chemicals is increasingly gaining more attention. A main reason for this development might be due to the crescent need to replace conventional industrial processes with more sustainable ways of production.

The multiscale nature of microalgae processes

Microalgae processes exhibit a remarkable complexity due to the interaction of multiple phenomena that span multiple time scales, ranging from milliseconds to days, and from nanometres to hundreds of meters in industrial plants, involving quantum phenomena, cell metabolism, turbulence and fluid flow behaviour, light diffusion, mass and energy transport phenomena, interactions with the equipment design,

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