This thesis investigates the potential of extracellular polysaccharides (EPS) from microalgae and cyanobacteria for value-added applications, with a focus on independent downstream processing. Several EPS concentration methods were evaluated, identifying dynamic crossflow filtration as the most effective and demonstrating strong resistance to biofouling. Optimization of upstream conditions showed that lower light intensities and elevated temperatures significantly enhance EPS productivity.

The study further examines the influence of reactor geometry and operation mode using experimental and modeling approaches. Multiple reactor systems were designed and tested, supporting the development of a pilot-scale reactor. A novel empirical growth model was developed and calibrated with experimental data to predict microalgal growth based on reactor, temperature and light parameters, enabling improved process optimization. Results indicate that repeated fed-batch operation under daylight conditions is more efficient than continuous processing. Overall, this work provides practical strategies for EPS production and introduces a growth model that supports more efficient and sustainable microalgal bioprocesses.