Control and optimization for the biomass production from microalgae as renewable energy source
2015_DPI2014-55932-C2-1-R_PROBIOREN. The main goal consists in reaching a near optimal environment for microalgae to grow, multiply, and produce biomass, together with an assessment of the balance between the requested energy to maintain an optimal microalgae growth, the injected CO2, and the recovered costs through biomass-biofuel. According to the nonlinear dynamics, and the complex and hierarchical nature of these processes, different control approaches will be evaluated to reach the proposed objectives. Event-based, reset, and fractional control approaches together with hierarchical model predictive control algorithms will be used to achieve an efficient microalgae biomass production in raceway photobioreactors. Moreover, nonlinear models, estimators and predictors of the main photobioreactor variables will be developed.
Visit the project webpages: