Title: Boosting the power density of two‐chamber microbial fuel cell: Modeling and optimization
Abstract: International Journal of Energy ResearchVolume 46, Issue 15 p. 20975-20984 SPECIAL ISSUE RESEARCH ARTICLE Boosting the power density of two-chamber microbial fuel cell: Modeling and optimization Hegazy Rezk, Hegazy Rezk orcid.org/0000-0001-9254-2744 Department of Electrical Engineering, College of Engineering in Wadi Alddawasir, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi ArabiaSearch for more papers by this authorAbdul Ghani Olabi, Corresponding Author Abdul Ghani Olabi [email protected] orcid.org/0000-0001-9209-3619 Department of Sustainable and Renewable Energy Engineering, University of Sharjah, Sharjah, UAE Sustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, Sharjah, United Arab Emirates Mechanical Engineering and Design, Aston University, School of Engineering and Applied Science, Birmingham, UK Correspondence Abdul Ghani Olabi, Department of Sustainable and Renewable Energy Engineering, University of Sharjah, P.O. Box 27272, Sharjah, UAE. Email: [email protected]Search for more papers by this authorMohammad Ali Abdelkareem, Mohammad Ali Abdelkareem orcid.org/0000-0003-3248-9843 Sustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, Sharjah, United Arab Emirates Center for Advanced Materials Research, University of Sharjah, Sharjah, United Arab Emirates Faculty of Engineering, Minia University, Minya, EgyptSearch for more papers by this authorEnas Taha Sayed, Enas Taha Sayed orcid.org/0000-0002-0759-4484 Center for Advanced Materials Research, University of Sharjah, Sharjah, United Arab Emirates Faculty of Engineering, Minia University, Minya, EgyptSearch for more papers by this author Hegazy Rezk, Hegazy Rezk orcid.org/0000-0001-9254-2744 Department of Electrical Engineering, College of Engineering in Wadi Alddawasir, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi ArabiaSearch for more papers by this authorAbdul Ghani Olabi, Corresponding Author Abdul Ghani Olabi [email protected] orcid.org/0000-0001-9209-3619 Department of Sustainable and Renewable Energy Engineering, University of Sharjah, Sharjah, UAE Sustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, Sharjah, United Arab Emirates Mechanical Engineering and Design, Aston University, School of Engineering and Applied Science, Birmingham, UK Correspondence Abdul Ghani Olabi, Department of Sustainable and Renewable Energy Engineering, University of Sharjah, P.O. Box 27272, Sharjah, UAE. Email: [email protected]Search for more papers by this authorMohammad Ali Abdelkareem, Mohammad Ali Abdelkareem orcid.org/0000-0003-3248-9843 Sustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, Sharjah, United Arab Emirates Center for Advanced Materials Research, University of Sharjah, Sharjah, United Arab Emirates Faculty of Engineering, Minia University, Minya, EgyptSearch for more papers by this authorEnas Taha Sayed, Enas Taha Sayed orcid.org/0000-0002-0759-4484 Center for Advanced Materials Research, University of Sharjah, Sharjah, United Arab Emirates Faculty of Engineering, Minia University, Minya, EgyptSearch for more papers by this author First published: 22 August 2022 https://doi.org/10.1002/er.8589Citations: 1 Funding information: Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia, Grant/Award Number: IF-PSAU-2021/01/17835 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Summary This paper estimates the optimal input parameters of a two-chamber microbial fuel cell (TCMFC) by employing Harris hawk's optimization (HHO) and ANFIS modeling. The goal is to boost the output power density of TCMFC. Three operating input controlling parameters are taken into consideration: acetate concentration in the influent of the anodic chamber, fuel feed flow rate in the anodic chamber, and oxygen concentration in the influent of the cathodic chamber. Based on measured data, an ANFIS model has been created to simulate the power density of TCMFC in terms of the input controlling parameters. The modeling results proved the superiority of ANFIS-based model, the coefficient of determination is increased from 0.703 using Response surface methodology (RSM) to 0.993 using ANFIS (boosted by 41.25%.). Next, HHO is applied to do the parameter identification process. To prove the advantage of the proposed methodology, the findings are compared to RSM and experimental data. The integration between HHO and ANFIS-based modeling boosted the output power density of TCMFC by 8.7% and 9.7% compared to measured data and RSM, respectively. In sum, the proposed strategy succeeded in boosting the power density of the TCMFC. REFERENCES 1Hasan M, Rasul M, Khan M, Ashwath N, Jahirul M. Energy recovery from municipal solid waste using pyrolysis technology: a review on current status and developments. Renew Sustain Energy Rev. 2021; 145:111073. doi:10.1016/j.rser.2021.111073 2Nguyen TKL, Ngo HH, Guo W, et al. Environmental impacts and greenhouse gas emissions assessment for energy recovery and material recycle of the wastewater treatment plant. Sci Total Environ. 2021; 784:147135. 3Elsaid K, Olabi V, Sayed ET, Wilberforce T, Abdelkareem MA. Effects of COVID-19 on the environment: an overview on air, water, wastewater, and solid waste. 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