Iron removal, energy consumption and operating cost of electrocoagulation of drinking water using a new flow column reactor

Abstract

The goal of this project was to remove iron from drinking water using a new electrocoagulation (EC) cell. In this research, a flow column has been employed in the designing of a new electrocoagulation reactor (FCER) to achieve the planned target. Where, the water being treated flows through the perforated disc electrodes, thereby effectively mixing and aerating the water being treated. As a result, the stirring and aerating devices that until now have been widely used in the electrocoagulation reactors are unnecessary. The obtained results indicated that FCER reduced the iron concentration from 20 to 0.3 mg/L within 20 min of electrolysis at initial pH of 6, inter-electrode distance (ID) of 5 mm, current density (CD) of 1.5 mA/cm, and minimum operating cost of 0.22 US $/m. Additionally, it was found that FCER produces H gas enough to generate energy of 10.14 kW/m. Statistically, it was found that the relationship between iron removal and operating parameters could be modelled with R of 0.86, and the influence of operating parameters on iron removal followed the order: C>t>CD>pH. Finally, the SEM (scanning electron microscopy) images showed a large number of irregularities on the surface of anode due to the generation of aluminium hydroxides.

Improving sludge settleability by introducing an innovative, two-stage settling sequencing batch reactor

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The development of a low carbon binder produced from the ternary blending of cement, ground granulated blast furnace slag and high calcium fly ash: An experimental and statistical approach

“…The latter was chosen because of its ability to identify relationships among several variables [38]. The relative importance of each individual parameters' contribution to mortar strength, was investigated by determining the Beta coefficient (β) [47].…”

“…To develop a reliable MR model, the following assumptions must be examined: data set size, normality of data, presence of outliers and multicollinearity along with the normality, linearity and homoscedasticity (NLH) of residuals [47][48][49]. The ability of the developed model to explain the relationship between the independent and dependant parameters must be evaluated by calculating the coefficient of determination (R 2 ) [39].…”

Batch elimination of cationic dye from aqueous solution by electrocoagulation process

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