An efficient approach to cathode operational parameters optimization for microbial fuel cell using response surface methodology
نویسندگان
چکیده
BACKGROUND In the recent study, optimum operational conditions of cathode compartment of microbial fuel cell were determined by using Response Surface Methodology (RSM) with a central composite design to maximize power density and COD removal. METHODS The interactive effects of parameters such as, pH, buffer concentration and ionic strength on power density and COD removal were evaluated in two-chamber microbial batch-mode fuel cell. RESULTS Power density and COD removal for optimal conditions (pH of 6.75, buffer concentration of 0.177 M and ionic strength of cathode chamber of 4.69 mM) improve by 17 and 5%, respectively, in comparison with normal conditions (pH of 7, buffer concentration of 0.1 M and ionic strength of 2.5 mM). CONCLUSIONS In conclusion, results verify that response surface methodology could successfully determine cathode chamber optimum operational conditions.
منابع مشابه
Application of Response Surface Methodology as an Efficient Approach for Optimization of Operational Variables in Benzene Hydroxylation to Phenol by V/SBA-16 Nanoporous Catalyst
Herein, we prepared a V/SBA-16 catalyst using vanadyl acetylacetonate as a precursor and SBA-16 nanoporous silica as a support via an immobilization technique. The ordered mesoporous structure of catalyst was determined by X-ray diffraction and transmission electron microscopy techniques , and the catalyst was evaluated in the benzene hydroxylation to phenol with hydrogen peroxide (H2O2) as a ...
متن کاملHydrothermal synthesis of nano-size zirconia using commercial zirconia powder: process optimization through response surface methodology
A hydrothermal method for preparation of nano-size zirconia has been studied to optimize the effective parameters (precursor concentration, temperature and time) using response surface methodology (RSM). The synthesized zirconia samples were characterized through X-ray diffraction (XRD), scanning electron microscope (SEM) and transmission electron microscopy (TEM) analyses to identify mean nano...
متن کاملThe significance of key operational variables to the enhancement of hydrogen production in a single-chamber microbial electrolysis cell (MEC)
Microbial electrolysis cell (MEC) is one of the promising and cutting-edge technologies for generating hydrogen from wastewater through biodegradation of organic waste by exoelectrogenic microbes. In the MECs, the operational parameters, such as applied voltage (Eap), anode surface area, anode-cathode distance, and N2/CO2 volume ratio have a significant impact on the hydrogen yield and producti...
متن کاملThermodynamic Analysis and Statistical Investigation of Effective Parameters for Gas Turbine Cycle using the Response Surface Methodology
In this paper, the statistical analyses are presented to study the thermal efficiency and power output of gas turbine (GT) power plants. For analyzing gas turbine operation and performance, a novel approach is developed utilizing the response surface methodology (RSM) which is based on the central composite design (CCD) method. An attempt is made to study the effect of some operational factors ...
متن کاملPerformance of a Dual Chamber Microbial Fuel Cell using Sodium Chloride as Catholyte
Microbial fuel cell represents an emerging technology to attain electrical energy from wastewater. There are several alternative methods available for wastewater treatment; Microbial fuel cell is one of them, which generates green energy from wastewater for making a contribution to renewable sources of energy. This study states the performance of microbial fuel cell with different parameters i....
متن کامل