(246j) Model Based Optimization of Microalgae Cultivation in a Raceway Pond

In this research, a new model is proposed to predict microalgae cultivation in a raceway pond (RWP). Based on the proposed model, optimal operating condition for maximizing the operating profit is searched. Recently, many researchers have studied microalgae as potential raw material for biofuels and chemicals. However, the high cost of cultivation stands as the main obstacle to successful commercialization [1]. RWP with its relatively low cultivation costs is considered as the most probable means for the mass production of microalgae. Despite this, there exist few published research works on the modeling of microalgae growth in a RWP as it encompasses many complicated phenomena including mass hydrodynamics, light penetration, and microalgal growth. Furthermore, previously proposed RWP models, which are based on computational fluid dynamics models, are too complex to be suitable for important applications such as optimization and control [2-3]. In this research, a new RWP model is proposed. It is based on dynamics of microalgae growth, light penetration, sediment and temperature, which are important for microalgae cultivation in a RWP. Since the model is relatively simple, we can use it to optimize the operating condition. The optimization result shows that current operating practice leaves much room for improvement.

Reference

[1]      J.N. Rogers, J.N. Rosenberg, B.J. Guzman, V.H. Oh, L.E. Mimbela, A. Ghassemi, M.J. Betenbaugh, G.A. Oyler and M.D. Donohue, A critical analysis of paddlewheel-driven raceway ponds for algal biofuel production at commercial scales, Algal Research 4 (2014) 76-88.

[2]      M. Prussi, M. Buffi, D. Casini, D. Chiaramonti, F. Martelli, M. Carnevale, M.R. Tredici, L. Rodolfi, Experimental and numerical investigations of mixing in raceway ponds for algae cultivation, Biomass and Bioenergy 67 (2014) 390-400.

[3]      O. Bernard, A.C. Boulanger, M.O. Bristeau and J. Sainte-Marie, A 2D model for hydrodynamics and biology coupling applied to algae growth simulations, ESAIM: Mathematical Modelling and Numerical Analysis 47 (2013) 1387-1412.