Membrane-less microbial fuel cell: Monte Carlo simulation and sensitivity analysis for COD removal in dewatered sludge
Dewatered sludge is redundantly found in a municipal wastewater treatment plant, and the amount is increasing every year. However, the dewatered sludge could be used to power the membrane-less microbial fuel cell (ML-MFC), which is operated electrochemically via incorporation of electricity producin...
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| Format: | Article |
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American Institute of Physics Inc.
2021
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| author | Makhtar, Muaz Mohd. Zaini Tajarudin, Husnul Azan Samsudin, Mohd. Dinie Muhaimin Vadivelu, Vel Murugan Shoparwe, Noor Fazliani Zainuddin, Nor ‘Izzah |
| author_facet | Makhtar, Muaz Mohd. Zaini Tajarudin, Husnul Azan Samsudin, Mohd. Dinie Muhaimin Vadivelu, Vel Murugan Shoparwe, Noor Fazliani Zainuddin, Nor ‘Izzah |
| author_sort | Makhtar, Muaz Mohd. Zaini |
| collection | ePrints |
| description | Dewatered sludge is redundantly found in a municipal wastewater treatment plant, and the amount is increasing every year. However, the dewatered sludge could be used to power the membrane-less microbial fuel cell (ML-MFC), which is operated electrochemically via incorporation of electricity producing micro-organisms. The dewatered sludge normally acts as an electron donating substrate. Results showed that the ML-MFC produced voltage at about 927.7 ± 11.24 mV whereby 178.7 mg/L of chemical oxygen demand (COD) was removed after 240 h of incubation period. Nonetheless, voltage and COD removal values obtained from the dewatered sludge in the ML-MFC might differ every time the study is repeated because the availability of maximum biomass of electrogenic bacteria (EB) will be different due to the heterogeneous properties and EB performance inside the ML-MFC. The parametric uncertainty analysis of COD removal was then assessed using Monte Carlo simulation (stochastic variable) to determine the distribution probability affected by the fluctuation and variation of kinetic model parameters. From the study of 100 000 samples tested (simulation), the results show that the substrate removal (S) value ranged from 172.58 to 185.02 mg/L. The impact of each kinetic parameter on the ML-MFC performance was evaluated via sensitivity analysis. It is found that the ML-MFC performance significantly relied on the growth of EB present. |
| first_indexed | 2024-03-05T21:06:57Z |
| format | Article |
| id | utm.eprints-95772 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T21:06:57Z |
| publishDate | 2021 |
| publisher | American Institute of Physics Inc. |
| record_format | dspace |
| spelling | utm.eprints-957722022-05-31T13:19:01Z http://eprints.utm.my/95772/ Membrane-less microbial fuel cell: Monte Carlo simulation and sensitivity analysis for COD removal in dewatered sludge Makhtar, Muaz Mohd. Zaini Tajarudin, Husnul Azan Samsudin, Mohd. Dinie Muhaimin Vadivelu, Vel Murugan Shoparwe, Noor Fazliani Zainuddin, Nor ‘Izzah TP Chemical technology Dewatered sludge is redundantly found in a municipal wastewater treatment plant, and the amount is increasing every year. However, the dewatered sludge could be used to power the membrane-less microbial fuel cell (ML-MFC), which is operated electrochemically via incorporation of electricity producing micro-organisms. The dewatered sludge normally acts as an electron donating substrate. Results showed that the ML-MFC produced voltage at about 927.7 ± 11.24 mV whereby 178.7 mg/L of chemical oxygen demand (COD) was removed after 240 h of incubation period. Nonetheless, voltage and COD removal values obtained from the dewatered sludge in the ML-MFC might differ every time the study is repeated because the availability of maximum biomass of electrogenic bacteria (EB) will be different due to the heterogeneous properties and EB performance inside the ML-MFC. The parametric uncertainty analysis of COD removal was then assessed using Monte Carlo simulation (stochastic variable) to determine the distribution probability affected by the fluctuation and variation of kinetic model parameters. From the study of 100 000 samples tested (simulation), the results show that the substrate removal (S) value ranged from 172.58 to 185.02 mg/L. The impact of each kinetic parameter on the ML-MFC performance was evaluated via sensitivity analysis. It is found that the ML-MFC performance significantly relied on the growth of EB present. American Institute of Physics Inc. 2021 Article PeerReviewed Makhtar, Muaz Mohd. Zaini and Tajarudin, Husnul Azan and Samsudin, Mohd. Dinie Muhaimin and Vadivelu, Vel Murugan and Shoparwe, Noor Fazliani and Zainuddin, Nor ‘Izzah (2021) Membrane-less microbial fuel cell: Monte Carlo simulation and sensitivity analysis for COD removal in dewatered sludge. AIP Advances, 11 (6). 065016-065016. ISSN 2158-3226 http://dx.doi.org/10.1063/5.0039014 |
| spellingShingle | TP Chemical technology Makhtar, Muaz Mohd. Zaini Tajarudin, Husnul Azan Samsudin, Mohd. Dinie Muhaimin Vadivelu, Vel Murugan Shoparwe, Noor Fazliani Zainuddin, Nor ‘Izzah Membrane-less microbial fuel cell: Monte Carlo simulation and sensitivity analysis for COD removal in dewatered sludge |
| title | Membrane-less microbial fuel cell: Monte Carlo simulation and sensitivity analysis for COD removal in dewatered sludge |
| title_full | Membrane-less microbial fuel cell: Monte Carlo simulation and sensitivity analysis for COD removal in dewatered sludge |
| title_fullStr | Membrane-less microbial fuel cell: Monte Carlo simulation and sensitivity analysis for COD removal in dewatered sludge |
| title_full_unstemmed | Membrane-less microbial fuel cell: Monte Carlo simulation and sensitivity analysis for COD removal in dewatered sludge |
| title_short | Membrane-less microbial fuel cell: Monte Carlo simulation and sensitivity analysis for COD removal in dewatered sludge |
| title_sort | membrane less microbial fuel cell monte carlo simulation and sensitivity analysis for cod removal in dewatered sludge |
| topic | TP Chemical technology |
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