P.M. Slegers

Food commodities from microalgae.

The prospect of sustainable production of food ingredients from photoautotrophic microalgae was reviewed. Clearly, there is scope for microalgal oils to replace functions of major vegetable oils, and in addition to deliver health benefits to food products. Furthermore, with a limited production surface, a substantial portion of the European Union market could be supplied with edible oils and proteins from microalgae. Yet, before microalgal ingredients can become genuinely sustainable and cost effective alternatives for current food commodities, major breakthroughs in production technology and in biorefinery approaches are required. Moreover, before market introduction, evidence on safety of novel microalgal ingredients, is needed. In general, we conclude that microalgae have a great potential as a sustainable feedstock for food commodities.

Toward optimal control of flat plate photobioreactors: the greenhouse analogy?

Abstract The cultivation of algae in photo-bioreactors shows similarities to crop cultivation in greenhouses, especially when the reactors are driven by sun light. Advanced methodologies for dynamic optimization and optimal control for greenhouses are known from earlier research. The aim here is to extend these methodologies to microalgae cultivated in a flat plate photo-bioreactor. A one-state space model for the algal biomass in the reactor is presented. The growth rate vs. light curve is parameterized on the basis of experimental evidence. Spatial distribution of light and growth rate between the plates is also considered. The control variable is the dilution rate. Dynamic optimal control trajectories are presented for various choices of goal function and external solar irradiation trajectories over a horizon of 3 days. It was found that the algae present in the reactor at final time represent a value for the future. Numerical and theoretical results suggest that the control is bang-(singular-)bang, with a strong dependence on the weather. The optimal biomass also depends on the available light, and achieving it to reach a new optimal steady cycle after a prolonged change in weather may take several days. A preliminary theoretical analysis suggests a control law that maximizes the effective growth rate. The analysis shows that like in the greenhouse case, the co-state of the algal biomass plays a pivot role in developing on-line controllers.

Improving sustainability of maize to ethanol processing by plant breeding and process optimization

Efficient management of plant resources is essential for a sustainable biobased economy. The biomass conversion efficiency and sustainability performance depend greatly on the choice of feedstock and the applied processing technology. The aim of this research was to enhance the biomass use of maize stover for bioethanol production, by combining plant breeding of the maize feedstock with various pretreatment severities and applying an exploratory assessment of the environmental and economic impacts. We found that systematic genetic gains of cell wall digestibility can lead to significant advances in the total glucose productivity and also in the sustainability performance. The best maize characteristics tested led to a total glucose productivity of 3.7 ton per hectare using mild processing conditions. This matches the highest realizable yields under severe processing conditions. In the best scenarios the environmental and economic impacts of operating conditions were reduced by 15% compared to the benchmark.