Optimization of electrocoagulation process parameters for enhancing phosphate removal in a biofilm-electrocoagulation system

Author:

Zeng Jie1,Ji Min1,Zhao Yingxin1,Helmer Pedersen Thomas2,Wang Hao3

Affiliation:

1. School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China

2. Aalborg University, Department of Energy Technology, Pontoppidanstraede 111, DK-9220 Aalborg, Denmark

3. Tianjin Water Engineering Co., Ltd, Tianjin, 300222, China

Abstract

Abstract This study aimed to enhance the removal of phosphate in synthetic rural sewage by using a continuous electrocoagulation (EC) combined with biofilm process in an integrated system. Characteristic indexes of biofilm process effluent covering pH, dissolved oxygen (DO), suspended solids (SS), chemical oxygen demand (COD) and phosphate maintained a narrow fluctuation range and tended not readily to influence the phosphate removal of subsequent electrocoagulation. Three parameters including inter-electrode distance, current intensity and reaction time were selected to investigate the performance of enhancing phosphate removal. On the strength of single-factor tests, the Box-Behnken design (BBD) coupled with response surface methodology (RSM) was applied to investigate the individual and mutual interaction impacts of the major operating parameters and to optimize conditions. The optimum conditions were found to be inter-electrode distance of 1.8 cm, current density of 2.1 mA/cm2 and EC reaction time of 34 min, and phosphate removal efficiency of 90.24% was achieved along with less than 1 mg/L in case of periodic polarity switching mode, which raised removal efficiency by 10.10% and reduced operating cost by 0.13 CNY/g PO4− compared to non-switching mode. The combination of biofilm processing and electrocoagulation treatment was proven to be a valid and feasible method for enhancing phosphate removal.

Funder

Key Technologies Research and Development Program

Publisher

IWA Publishing

Subject

Water Science and Technology,Environmental Engineering

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