title: Optimize flue gas settings to promote microalgae growth in photobioreactors via computer simulations.
abstract: Flue gas from power plants can promote algal cultivation and reduce greenhouse gas emissions(1). Microalgae not only capture solar energy more efficiently than plants(3), but also synthesize advanced biofuels(2-4). Generally, atmospheric CO2 is not a sufficient source for supporting maximal algal growth(5). On the other hand, the high concentrations of CO2 in industrial exhaust gases have adverse effects on algal physiology. Consequently, both cultivation conditions (such as nutrients and light) and the control of the flue gas flow into the photo-bioreactors are important to develop an efficient "flue gas to algae" system. Researchers have proposed different photobioreactor configurations(4,6) and cultivation strategies(7,8) with flue gas. Here, we present a protocol that demonstrates how to use models to predict the microalgal growth in response to flue gas settings. We perform both experimental illustration and model simulations to determine the favorable conditions for algal growth with flue gas. We develop a Monod-based model coupled with mass transfer and light intensity equations to simulate the microalgal growth in a homogenous photo-bioreactor. The model simulation compares algal growth and flue gas consumptions under different flue-gas settings. The model illustrates: 1) how algal growth is influenced by different volumetric mass transfer coefficients of CO2; 2) how we can find optimal CO2 concentration for algal growth via the dynamic optimization approach (DOA); 3) how we can design a rectangular on-off flue gas pulse to promote algal biomass growth and to reduce the usage of flue gas. On the experimental side, we present a protocol for growing Chlorella under the flue gas (generated by natural gas combustion). The experimental results qualitatively validate the model predictions that the high frequency flue gas pulses can significantly improve algal cultivation.
authors.affiliation: Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis.
authors.forename: Lian
authors.initials: L
authors.lastname: He
authors.forename: Amelia B
authors.initials: AB
authors.lastname: Chen
authors.forename: Yi
authors.initials: Y
authors.lastname: Yu
authors.forename: Leah
authors.initials: L
authors.lastname: Kucera
authors.forename: Yinjie
authors.initials: Y
authors.lastname: Tang
mesh_terms: D019149:Bioreactors; D002245:Carbon Dioxide / Q000737:chemistry; D002708:Chlorella / Q000254:growth & development; D003198:Computer Simulation; D005740:Gases / Q000737:chemistry; D058086:Microalgae / Q000254:growth & development*; D008954:Models, Biological; D011210:Power Plants
chemical_list: D005740:Gases; D002245:Carbon Dioxide