Applying an ANFIS-based Algorithm in Comparison with Mechanistic Modelling in a Biofilter Treating Hexane

Soroosh Danaee, Fatemeh Darakeh, Gholam-Reza Mohammad Khani, Ph.D. of Chemical Engineering, Biotechnology Department, Iranian Research Organization for Science and Technology, Tehran, Iran; Sh. Ehsani Rad St., Enqelab St., Parsa Sq., Ahmadabad Mostoufi Rd., Azadegan Highway, P. O. Box 3353-5111, Ph.D. Candidate of Electrical Engineering, Electrical and Computer Engineering Department, Iranian Research Organization for Science and Technology, Tehran, Iran; Sh. Ehsani Rad St., Enqelab St., Parsa Sq., Ahmadabad Mostoufi Rd., Azadegan Highway, P. O. Box 3353-5111, Assistant professor of Electrical Engineering, Electrical and Computer Engineering Department, Iranian Research Organization for Science and Technology, Tehran, Iran; Sh. Ehsani Rad St., Enqelab St., Parsa Sq., Ahmadabad Mostoufi Rd., Azadegan Highway, P. O. Box 3353-5111
2018 Journal of green engineering  
Predicting the dynamic performance of a waste air biofilter is sought here. This predicting method in biological purification of waste air is adopted where the microbial biofilm formed on bed particles degrade the pollutants. The model can be adopted in scaling-up and predicting the biofilteration performance. An Adaptive Neuro-Fuzzy Inference System (ANFIS) is applied as a new approach which is compared to a mechanistic model where moisture content balance is of concern. To get a better view
more » ... get a better view of each modelling procedures, they are compared for the prediction of a set of experimental data from the literature. Both of methods could effectively predict outlet concentrations. 320 Soroosh Danaee et al. The results indicate a more precise predicting capability in ANFIS-based approach regarding outlet concentrations, while, mechanistic modelling has the ability of system description and mechanisms.
doi:10.13052/jge1904-4720.836 fatcat:bul6x35e5bfibf6toq5sadl63i