| Download | - View accepted manuscript: Comparison of real-time methods for maximizing power output in microbial fuel cells (PDF, 823 KiB)
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| DOI | Resolve DOI: https://doi.org/10.1002/aic.12157 |
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| Author | Search for: Woodward, L.; Search for: Perrier, M.; Search for: Srinivasan, B.; Search for: Pinto, R. P.1; Search for: Tartakovsky, B.1 |
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| Affiliation | - National Research Council of Canada. NRC Biotechnology Research Institute
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| Format | Text, Article |
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| Subject | environmental; Maximum power point tracking; Real-time optimization; Perturbation and observation method; Microbial fuel cell; Multiunit optimization |
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| Abstract | Microbial fuel cells (MFCs) constitute a novel power generation technology that converts organic waste to electrical energy using microbially catalyzed electrochemical reactions. Since the power output of MFCs changes considerably with varying operating conditions, the online optimization of electrical load (i.e., external resistance) is extremely important for maintaining a stable MFC performance. The application of several real-time optimization methods is presented, such as the perturbation and observation method, the gradient method, and the recently proposed multiunit method, for maximizing power output of MFCs by varying the external resistance. Experiments were carried out in two similar MFCs fed with acetate. Variations in substrate concentration and temperature were introduced to study the performance of each optimization method in the face of disturbances unknown to the algorithms. Experimental results were used to discuss advantages and limitations of each optimization method. |
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| Publication date | 2010 |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NRC number | NRCC 50003 |
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| NPARC number | 16152645 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | a59982ab-ac0a-4cdd-a652-96bfa8731a6d |
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| Record created | 2010-11-05 |
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| Record modified | 2020-04-17 |
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