Volume 15, Number 1 (5-2016)                   TB 2016, 15(1): 198-207 | Back to browse issues page


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Goli A, Talaiekhozani A. Comparison of Regression Model and Modified Monod kinetic Model to Predict the Removal of Formaldehyde in Trickling Biofilter. TB. 2016; 15 (1) :198-207
URL: http://tbj.ssu.ac.ir/article-1-2118-en.html

PhD Jami Institute of Technology, Esfahan, Iran , atalaei@jami.ac.ir
Abstract:   (716 Views)

Abstract

Introduction: Formaldehyde is a toxic, mutagen and probably carcinogen compound that can be released to air by world different industries. The present study aimed to investigate the kinetic parameters of a trickling bio-filter as well as to present a simple regression model.

Methods: The data of previous studies on formaldehyde vapor removal by bio-trickling filter in a laboratory scale was used to determine rmax and Km. Moreover, the data were applied to develop a simple regression model.

Results: Formaldehyde removal efficiency in different input concentrations was predicted by both regression and kinetic models. All results were compared with actual data in the pilot study.

Conclusion: The results of the present study revealed that although regression model has a high precision, it only could predict the mean of bio-filter efficiency in formaldehyde removal. Kinetic model demonstrated some extent of error in predicting, though it has a good alignment with the actual data, and thus, the results of this model can approximately predict ups and downs of system navigation.

Full-Text [PDF 182 kb]   (182 Downloads)    
Type of Study: Research | Subject: General
Received: 2016/05/17 | Accepted: 2016/05/17 | Published: 2016/05/17

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