An empirical model for parameters affecting energy consumption in boron removal from boron-containing wastewaters by electrocoagulation.
In this study, it was investigated parameters affecting energy consumption in boron removal from boron containing wastewaters prepared synthetically, via electrocoagulation method. The solution pH, initial boron concentration, dose of supporting electrolyte, current density and temperature of solution were selected as experimental parameters affecting energy consumption. The obtained experimental results showed that boron removal efficiency reached up to 99% under optimum conditions, in which solution pH was 8.0, current density 6.0 mA/cm(2), initial boron concentration 100mg/L and solution temperature 293 K. The current density was an important parameter affecting energy consumption too. High current density applied to electrocoagulation cell increased energy consumption. Increasing solution temperature caused to decrease energy consumption that high temperature decreased potential applied under constant current density. That increasing initial boron concentration and dose of supporting electrolyte caused to increase specific conductivity of solution decreased energy consumption. As a result, it was seen that energy consumption for boron removal via electrocoagulation method could be minimized at optimum conditions. An empirical model was predicted by statistically. Experimentally obtained values were fitted with values predicted from empirical model being as following; [formula in text]. Unfortunately, the conditions obtained for optimum boron removal were not the conditions obtained for minimum energy consumption. It was determined that support electrolyte must be used for increase boron removal and decrease electrical energy consumption.
Yilmaz
A Erdem
AE
Atatürk University, Faculty of Engineering, Department of Environmental Engineering, 25240 Erzurum, Turkey. aerdemy@atauni.edu.tr
Boncukcuoğlu
Recep
R
Kocakerim
M Muhtar
MM
D001895:Boron / Q000737:chemistry*; D002122:Calcium Chloride / Q000737:chemistry; D004563:Electrochemistry; D006863:Hydrogen-Ion Concentration; D007220:Industrial Waste; D008962:Models, Theoretical; D014865:Waste Disposal, Fluid / Q000379:methods*; D014874:Water Pollutants, Chemical / Q000737:chemistry*; D018508:Water Purification / Q000379:methods*
D007220:Industrial Waste; D014874:Water Pollutants, Chemical; D002122:Calcium Chloride; D001895:Boron