Comparison of Regression Model and Modified Monod Kinetic Model to Predict the Removal of Ethanol in Trickling Biofilter

سال انتشار: 1398
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 389

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شناسه ملی سند علمی:

JR_JETT-7-1_004

تاریخ نمایه سازی: 6 اسفند 1398

چکیده مقاله:

Ethanol is a toxic compound and a member of volatile organic compounds (VOCs). Ethanol is emitted to the atmosphereby several industries worldwide. Biotrickling filter technology is a well-known technology for removal of VOCs from air. Theaim of this study is to compare two regression and modified monod models to predict the removal of ethanol using abiotrickling filter reactor (BTFR). The data of the previous study on ethanol vapor removal by bio-trickling filter were used fordetermination of rmax and Km. Also by these data, a simple regression model was developed. Eventually, ethanol removalefficiency was predicted by both regression and kinetic models. All results were compared with actual data. Our results showthat regression model could only predict the average of ethanol removal efficiency. However, kinetic model could additionallypredict all changes in ethanol removal efficiency: it has had some good alignment with actual data.

نویسندگان

Amin Goli

Department of Engineering, Quchan Branch, Islamic Azad University, Quchan, Iran

susan khosroyar

Department of Engineering, Quchan Branch, Islamic Azad University, Quchan, Iran

Behroz Vaziri

Department of Engineering, Quchan Branch, Islamic Azad University, Quchan, Iran

Fatemeh Sadat Dehghani

Department of Medical Nanotechnology, Shiraz University of Medical Sciences, Shiraz, Iran

Reza Sanaye

Department of Cancer proteomics, Shiraz University of Medical Sciences, Shiraz, Ira

Mohammad Mohammadi

Department of Medical Nanotechnology, Shiraz University of Medical Sciences, Shiraz, Iran