Modeling and optimization strategies towards performance enhancement of microbial fuel cells
| Autor: | Soumya Pandit, Deepak Pant, Ashvini D. Chendake, Dipak A. Jadhav, Alessandro A. Carmona-Martínez |
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| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
Energy recovery Environmental Engineering Microbial fuel cell Renewable Energy Sustainability and the Environment Process (engineering) Computer science Bioelectric Energy Sources Computation Bioengineering General Medicine 010501 environmental sciences Models Theoretical 01 natural sciences Commercialization Electricity 010608 biotechnology Power output Biochemical engineering Duration (project management) Performance enhancement Waste Management and Disposal Electrodes 0105 earth and related environmental sciences |
| Zdroj: | Bioresource technology. 320 |
| ISSN: | 1873-2976 |
| Popis: | Considering the complexity associated with bioelectrochemical processes, the performance of a microbial fuel cell (MFC) is governed by input operating parameters. For scaled-up applications, a MFC system needs to be modeled from engineering perspectives in terms of optimum operating conditions to get higher performance and energy recovery. Several conceptual numerical models to advanced computational simulation approaches have been developed to represent simple-form of a complex MFC system. Application of mathematical and computation models are explored to establish the relationship between operating input-variables and power output. The present review discusses about the complexity of system, modeling strategies used and reality of such modeling for scaling-up applications of MFCs. Additionally, the selection of an appropriate mathematical model reduces the computational duration and provides better understanding of the system process. It also explores the possibility and progress towards commercialization of MFCs and thus the need of development of model-based optimization and process-control approaches. |
| Databáze: | OpenAIRE |
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