title: Evaluation of biological nutrient removal from wastewater by Twin Circulating Fluidized Bed Bioreactor (TCFBBR) using a predictive fluidization model and AQUIFAS APP.
abstract: A two-phase and three-phase predictive fluidization model based on the characteristics of a system such as media type and size, flow rates, and reactor cross sectional area was proposed to calculate bed expansion, solid, liquid and gas hold up and specific surface area (SSA) of the biofilm particles. The model was subsequently linked to 1d AQUIFAS APP software (Aquaregen) to model biological nutrient removal in two phase (anoxic) and three phase (aerobic) fluidized bed bioreactors. The credibility of the proposed model for biological nutrient removal was investigated using the experimental data from a Twin Circulating Fluidized Bed Bioreactors (TCFBBR) treating synthetic and municipal wastewater. The SSA of bio-particles and volume of the expanded bed were simulated as a function of operational parameters. Two-sided t-tests demonstrated that simulated SCOD, NH(4)-N, NO(3)-N, TN, VSS and biomass yields agreed with the experimental values at the 95% confidence level.
authors.affiliation: Department of Chemical and Biochemical Engineering, The University of Western Ontario, London, Ontario, Canada.
authors.forename: Mehran
authors.initials: M
authors.lastname: Andalib
authors.forename: George
authors.initials: G
authors.lastname: Nakhla
authors.forename: Dipankar
authors.initials: D
authors.lastname: Sen
authors.forename: Jesse
authors.initials: J
authors.lastname: Zhu
mesh_terms: D019149:Bioreactors / Q000382:microbiology*; D003198:Computer Simulation; D004867:Equipment Design; D019544:Equipment Failure Analysis; D007220:Industrial Waste / Q000517:prevention & control; D008954:Models, Biological; D012212:Rheology / Q000379:methods*; D014871:Water Microbiology
chemical_list: D007220:Industrial Waste