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Experimental and Theoretical Study on the Ability of Microbial Fuel Cell for Electricity Generation | ||
| Pollution | ||
| مقاله 15، دوره 4، شماره 2، تیر 2018، صفحه 359-368 اصل مقاله (663.09 K) | ||
| نوع مقاله: Original Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/poll.2017.246092.341 | ||
| نویسندگان | ||
| Ahmed Ali* 1؛ H.A. Al-Mussawy1؛ M.J. Hussein1؛ N.J. Hamadi2 | ||
| 1Environmental Engineering Department, Faculty of Engineering, Mustansiriyah University Baghdad 10052, Iraq. | ||
| 2Environmental Engineering Department, Faculty of Engineering, Baghdad University, Baghdad 10071, Iraq | ||
| چکیده | ||
| The present study aims at designing a promising Microbial Fuel Cell (MFC) to utilize wastewater in order to generate electricity. Two types of salt bridge have been used in MFC (KCl and NaCl). The maximum electricity generation with 1M KCl and NaCl has been 823 and 713 mV, respectively. Varied salt concentrations (0.5M, 1M, 2M, and 3M) of salt bridge in MFC have been analyzed with different factors like temperature, type of electrode, configuration, and surface area of electrode being studied. The optimum temperature is found to be 32Co, with the optimum type of electrode being graphite rod, while the optimum configuration and surface area of electrode is graphite plate with surface area of 183.6 cm2. Artificial Neural Network (ANN) has been employed to predict voltage production of MFC and compare it with the experimental voltage. Multiple correlation methodology has optimized the voltage production with the correlation coefficient (R2) being 0.999. | ||
| کلیدواژهها | ||
| artificial neural network (ANN)؛ Multiple correlation؛ Salt bridge؛ Wastewater | ||
| مراجع | ||
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