Experimental and Theoretical Study on the Ability of Microbial Fuel Cell for Electricity Generation

被引：12
|
作者：
Ali, A. H. [1 ]
Al-Mussawy, H. A. [1 ]
Hussein, M. J. [1 ]
Hamadi, N. J. [2 ]
机构：
[1] Mustansiriyah Univ, Dept Environm Engn, Fac Engn, Baghdad 10052, Iraq
[2] Univ Baghdad, Dept Environm Engn, Fac Engn, Baghdad 10071, Iraq
来源：
POLLUTION | 2018年 / 4卷 / 02期
关键词：
Artificial neural network (ANN); Multiple correlation; Salt bridge; Wastewater;
D O I：
10.22059/poll.2017.246092.341
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
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 32C(o), 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 cm(2). 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 (R-2) being 0.999.
引用
收藏
页码：359 / 368
页数：10
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