%0 Journal Article
%T APPLICATION OF EVOLUTIONARY POLYNOMIAL REGRESSION IN ULTRAFILTRATION SYSTEMS CONSIDERING THE EFFECT OF DIFFERENT PARAMETERS ON OILY WASTEWATER TREATMENT
%J Journal of Petroleum Science and Technology
%I Research Institute of Petroleum Industry (RIPI)
%Z 2251-659X
%A Reyhani, Amin
%A Hemmati, Mahmood
%A Rekabdar, Fatemeh
%A Ahmadi, Mehdi
%D 2013
%\ 04/30/2013
%V 3
%N 1
%P 9-19
%! APPLICATION OF EVOLUTIONARY POLYNOMIAL REGRESSION IN ULTRAFILTRATION SYSTEMS CONSIDERING THE EFFECT OF DIFFERENT PARAMETERS ON OILY WASTEWATER TREATMENT
%K Ultrafiltration
%K Wastewater
%K Fouling
%K Rejection
%K Evolutionary Polynomial Regression
%R 10.22078/jpst.2013.2
%X In the present work, the effects of operating conditions including pH, transmembrane pressure, oil concentration, and temperature on fouling resistance and the rejection of turbidity for a polymeric membrane in an ultrafiltration system of wastewater treatment were studied. A new modeling technique called evolutionary polynomial regression (EPR) was investigated. EPR is a method based on regression algorithm, which combines the best properties of the conventional numerical regression technique. This paper employs the capability of EPR as a powerful tool to develop a formula with a variable number of polynomial coefficients. Herein, the evolutionary polynomial regression approach is adopted on two parametric studies, i.e. total fouling resistance and rejection rate. These parameters are all evaluated as a function of some mentioned independent variables. Maximum average error and minimum average error are obtained to be equal to 4.25% and 0.05%, respectively. Therefore, EPR is a practical and useful method to describe a membrane performance.
%U https://jpst.ripi.ir/article_2_0dec243f351ea4b6a48ed203bcdb383e.pdf