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Journal ArticleDOI

Model Sensitivity Analysis for Biotrickling Filter Treatment of Graywater Simulant and Waste Gas. II

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TLDR
In this article, a detailed sensitivity analysis was conducted to identify key parameters for a biotrickling filter simultaneously treating graywater and waste gas containing ammonia and hydrogen sulfide contaminants.
Abstract
A detailed sensitivity analysis was conducted to identify key parameters for a biotrickling filter simultaneously treating graywater and waste gas containing ammonia and hydrogen sulfide contaminants. Sampling-based approaches were applied to quantitatively assess the sensitivity of both design and intrinsic model parameters. Specifically, the sensitivity of contaminant removal rates under system conditions was investigated. Results suggested that contaminant removal rates can be substantially improved by increasing the fraction of wetted area in a biotrickling filter. Although recirculation flow rate is insensitive when considering liquid contaminant removal, increasing this parameter improves gas removal efficiency and also increases wetted area within the biotrickling filter. Reactor performance can also be improved by increasing gas and liquid residence times. Contaminant diffusivity through the biofilm is an important parameter and should be accurately assessed. This study differentiated key from insignificant biotrickling filter reactor design parameters for the biotrickling filter and provides guidance for similar research applications.

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Citations
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Journal ArticleDOI

Model Development for Biotrickling Filter Treatment of Graywater Simulant and Waste Gas. I

TL;DR: A mathematical model developed to simulate a biotrickling filter capable of simultaneous treatment of graywater simulant and waste gas contaminated with ammonia and hydrogen sulfide was used to make a preliminary assessment on the feasibility of a proposed dual treatment biotickling filter system.
Journal ArticleDOI

Modelling botanical biofiltration of indoor air streams contaminated by volatile organic compounds

TL;DR: In this article, the authors evaluated the applicability of such a modeling scheme to systems which include a botanical compartment and found that the most sensitive parameters on the transient state behavior were the mass transfer coefficient between gas and solid surfaces, and the fraction of solid surfaces covered by the biofilm; the steady-state response was primarily influenced by the Biofilm specific surface area and the surface area.
Journal ArticleDOI

Modelling botanical biofiltration of indoor air streams contaminated by volatile organic compounds

TL;DR: In this paper , the authors evaluated the applicability of such a modeling scheme to systems which include a botanical compartment and found that the most sensitive parameters on the transient state behaviour were the mass transfer coefficient between gas and solid surfaces, and the fraction of solid surfaces covered by the biofilm; the steady-state response was primarily influenced by the Biofilm specific surface area and the surface area.

Simulation Study on Ammonia Removal in a Biotrickling Filter Using a Steady-state Model

TL;DR: In this article, a simulation study was conducted using a calibrated and validated model for ammonia removal in a cross-flow biotrickling filter, and the relationship of some of the process and design parameters with reactor performance was evaluated.

Modelling the Removal of Airborne Contaminants in Swine Facilities by a Biotrickling Filter

Myra Martel
TL;DR: In this paper, the performance of biotrickling filters in reducing emissions of odour and harmful substances from swine facilities was optimized through a modelling study. But, the results of the study were limited to three inocula, i.e., ammonia, dimethyl sulphide and p-cresol.
References
More filters
Journal ArticleDOI

A comparison of three methods for selecting values of input variables in the analysis of output from a computer code

TL;DR: In this paper, two sampling plans are examined as alternatives to simple random sampling in Monte Carlo studies and they are shown to be improvements over simple sampling with respect to variance for a class of estimators which includes the sample mean and the empirical distribution function.
Journal Article

Factorial sampling plans for preliminary computational experiments

Max D. Morris
- 01 Jan 1992 - 
TL;DR: The proposed experimental plans are composed of individually randomized one-factor-at-a-time designs, and data analysis is based on the resulting random sample of observed elementary effects, those changes in an output due solely to changes in a particular input.
Journal ArticleDOI

Factorial sampling plans for preliminary computational experiments

TL;DR: In this article, the problem of designing computational experiments to determine which inputs have important effects on an output is considered, and experimental plans are composed of individually randomized one-factor-at-a-time designs, and data analysis is based on the resulting random sample of observed elementary effects.
Book

Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models

TL;DR: In this paper, the authors present a method for sensitivity analysis of a fish population model using Monte Carlo filtering and variance-based methods, which is based on the Bayesian uncertainty estimation.
Book

Statistical and econometric methods for transportation data analysis

TL;DR: In this paper, the authors proposed a sampling-based approach for estimating Elasticities in time series regression models, which can be used to estimate a single Beta Parameter for m - 1 of the m Levels of a Variable Checking Regression Assumptions Regression Outliers Regression Model GOF Measures Multicollinearity in the Regression Regression model-Building Strategies Estimating Elasticities Censored Dependent Variables-Tobit Model Box-Cox Regression Violations of Regression this paper
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