Statistical Modeling and Performance Optimization of a Two-Chamber Microbial Fuel Cell by Response Surface Methodology

被引：12

作者：

Naseer, Muhammad Nihal ^{[1
]}

Zaidi, Asad A. ^{[2
]}

Khan, Hamdullah ^{[1
]}

Kumar, Sagar ^{[1
]}

bin Owais, Muhammad Taha ^{[1
]}

Abdul Wahab, Yasmin ^{[3
]}

Dutta, Kingshuk ^{[4
]}

Jaafar, Juhana ^{[5
]}

Hamizi, Nor Aliya ^{[3
]}

Islam, Mohammad Aminul ^{[6
]}

Hussin, Hanim ^{[7
,8
]}

Badruddin, Irfan Anjum ^{[9
,10
]}

Alrobei, Hussein ^{[11
]}

机构：

[1] Natl Univ Sci & Technol NUST, PN Engn Coll, Dept Engn Sci, Islamabad 44000, Pakistan

[2] Hamdard Univ, Fac Engn Sci & Technol, Dept Mech Engn, Madinat Al Hikmah, Hakim Mohammad Said Rd, Karachi 74600, Pakistan

[3] Univ Malaya, Nanotechnol & Catalysis Res Ctr, Kuala Lumpur 50603, Malaysia

[4] Cent Inst Petrochem Engn & Technol CIPET, Sch Adv Res Petrochem SARP, Adv Polymer Design & Dev Res Lab APDDRL, Bengaluru 562149, Karnataka, India

[5] Univ Teknol Malaysia, Adv Membrane Technol Res Ctr, Johor Baharu 81310, Malaysia

[6] Univ Malaya, Fac Engn, Dept Elect Engn, Kuala Lumpur 50603, Malaysia

[7] Univ Teknol MARA, Sch Elect Engn, Coll Engn, Shah Alam 40450, Malaysia

[8] Univ Malaya, Inst Adv Studies IAS, Ctr Printable Elect, Kuala Lumpur 50603, Malaysia

[9] King Khalid Univ, Res Ctr Adv Mat Sci RCAMS, Abha 61413, Saudi Arabia

[10] King Khalid Univ, Coll Engn, Mech Engn Dept, Abha 61421, Saudi Arabia

[11] Prince Sattam Bin Abdullaziz Univ, Coll Engn, Dept Mech Engn, Alkharj 16273, Saudi Arabia

来源：

CATALYSTS | 2021年 / 11卷 / 10期

关键词：

microbial fuel cell; optimization; power density; response surface methodology; green energy; PVDF-CO-HFP; ELECTRICITY PRODUCTION; MEMBRANE; GENERATION;

D O I：

10.3390/catal11101202

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

Microbial fuel cell, as a promising technology for simultaneous power production and waste treatment, has received a great deal of attention in recent years; however, generation of a relatively low power density is the main limitation towards its commercial application. This study contributes toward the optimization, in terms of maximization, of the power density of a microbial fuel cell by employing response surface methodology, coupled with central composite design. For this optimization study, the interactive effect of three independent parameters, namely (i) acetate concentration in the influent of anodic chamber; (ii) fuel feed flow rate in anodic chamber; and (iii) oxygen concentration in the influent of cathodic chamber, have been analyzed for a two-chamber microbial fuel cell, and the optimum conditions have been identified. The optimum value of power density was observed at an acetate concentration, a fuel feed flow rate, and an oxygen concentration value of 2.60 mol m(-3), 0.0 m(3), and 1.00 mol m(-3), respectively. The results show the achievement of a power density of 3.425 W m(-2), which is significant considering the available literature. Additionally, a statistical model has also been developed that correlates the three independent factors to the power density. For this model, R-2, adjusted R-2, and predicted R-2 were 0.839, 0.807, and 0.703, respectively. The fact that there is only a 3.8% error in the actual and adjusted R-2 demonstrates that the proposed model is statistically significant.</p>

引用

页数：12

共 39 条

[31] Experimental investigation and performance optimisation of a catalytic reforming micro-reactor using response surface methodology [J].