The individual and interactive effects of three independent variables (cells loading, substrate concentration, airflow rate) on β-alanine production were investigated.
A systematic parametric evaluation of the effects of various kinetic parameters, such as compound's type, inlet concentration, airflow rate, light intensity, and relative humidity, was conducted, and new interpretations were provided from a fundamental analysis.
The proposed method is a decentralized frontier based algorithm enhanced by a cost/utility evaluation function that considers the odor concentration and airflow at each frontier.
A general-purpose computational fluid dynamics (CFD) code is employed to predict the CO concentration and airflow fields inside a three-dimensional (3D) modeled house.
The interaction of input CO2 concentration and airflow rate had a statistically significant effect on the volumetric productivity of PCC 7120#11, as did the interaction of airflow rate and photosynthetic photon flux density.
A minimum run resolution V central composite design with five variables (initial feed cresol concentration, pH of the feed, biosorbent dosage, time and agitation speed) for biosorption and three variables (liquid pool height, surfactant concentration and airflow rate) for biosorptive foam separation were applied to optimize the process.
CO2 production is calculated as the product of CO2 concentration and airflow during a breathing cycle, whereas arterial CO2 content is derived from end-tidal CO 2 and its corresponding dissociation curve.
CO2 production is calculated as the product of CO2 concentration and airflow during a breathing cycle, and arterial CO2 content is derived from end-tidal CO2 and its corresponding dissociation curve.
By including the transient peak concentrations, this random airflow modeling method offers a way to more accurately assess acute exposure levels for cases where well-defined airflow patterns in an indoor space are not available.
Compared to the operation with constant DO concentrations, the required airflow could be reduced up to 7%, the effluent ammonia concentration could be reduced up to 18% by using fuzzy logic based control strategy.
