Evaluation of biological nutrient removal from wastewater by Twin Circulating Fluidized Bed Bioreactor (TCFBBR) using a predictive fluidization model and AQUIFAS APP

Mehran Andalib; George Nakhla; Dipankar Sen; Jesse Zhu

doi:10.1016/j.biortech.2010.10.110

Evaluation of biological nutrient removal from wastewater by Twin Circulating Fluidized Bed Bioreactor (TCFBBR) using a predictive fluidization model and AQUIFAS APP

Mehran Andalib, George Nakhla, Dipankar Sen, Jesse Zhu

Research output: Journal Publication › Article › peer-review

15 Citations (Scopus)

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, NH₄-N, NO₃-N, TN, VSS and biomass yields agreed with the experimental values at the 95% confidence level.

Original language	English
Pages (from-to)	2400-2410
Number of pages	11
Journal	Bioresource Technology
Volume	102
Issue number	3
DOIs	https://doi.org/10.1016/j.biortech.2010.10.110
Publication status	Published - Feb 2011
Externally published	Yes

Keywords

AQUIFAS APP
Denitrification
Fluidization model
Nitrification
Nutrient removal

ASJC Scopus subject areas

Bioengineering
Environmental Engineering
Renewable Energy, Sustainability and the Environment
Waste Management and Disposal

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.biortech.2010.10.110

Cite this

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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, NH4-N, NO3-N, TN, VSS and biomass yields agreed with the experimental values at the 95% confidence level.",

keywords = "AQUIFAS APP, Denitrification, Fluidization model, Nitrification, Nutrient removal",

author = "Mehran Andalib and George Nakhla and Dipankar Sen and Jesse Zhu",

note = "Funding Information: The authors gratefully acknowledge Trojan Technologies, Canada, Natural Science and Engineering Research Council of Canada (NSERC) , and the Ontario Center of Excellence (OCE) , Canada for their financial support. ",

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AU - Andalib, Mehran

AU - Nakhla, George

AU - Sen, Dipankar

AU - Zhu, Jesse

N1 - Funding Information: The authors gratefully acknowledge Trojan Technologies, Canada, Natural Science and Engineering Research Council of Canada (NSERC) , and the Ontario Center of Excellence (OCE) , Canada for their financial support.

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N2 - 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, NH4-N, NO3-N, TN, VSS and biomass yields agreed with the experimental values at the 95% confidence level.

AB - 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, NH4-N, NO3-N, TN, VSS and biomass yields agreed with the experimental values at the 95% confidence level.

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KW - Fluidization model

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KW - Nutrient removal

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Evaluation of biological nutrient removal from wastewater by Twin Circulating Fluidized Bed Bioreactor (TCFBBR) using a predictive fluidization model and AQUIFAS APP

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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