Review on design factors of microbial fuel cells using Buckingham's Pi Theorem

Tang, Raymond Chong Ong; Jang, Jer‐Huan; Lan, Tzu‐Hsuan; Wu, Jung-Chen; Yan, Wei‐Mon; Sangeetha, T.; Wang, Chin‐Tsan; Ong, Hwai Chyuan; Ong, Zhi Chao

doi:10.1016/j.rser.2020.109878

Cited by 25 publications

(8 citation statements)

References 133 publications

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“…These seven parameters (n) were represented with three dimensions (m) to obtain n − m = 7 − 3 = 4 mutually independent dimensionless parameters. The Gaussian elimination method was used to solve or find said dimensionless parameters from the dimensional matrix, following the methodology proposed by Pritchard et al [16].…”

Section: Mathematical Modelmentioning

confidence: 99%

“…Buckingham's Pi theorem allows the performance of a known dimensional analysis that helps to focus on the variables of interest and, at the same time, group them to form a set of dimensionless variables with variables of interest from different fields. This theorem helps to predict the results theoretically using only the dimensionless variables [16].…”

Section: Introductionmentioning

confidence: 99%

“…However, repeating the experiment is costly, time-consuming, and labor-intensive, with misleading results. Therefore, it is necessary to have a general government equation to understand the magnitude of the effectiveness of each parameter in a biological system, such as Buckingham's Pi theorem [16].…”

Section: Introductionmentioning

confidence: 99%

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Mathematical Model for Scaling up Bioprocesses Using Experiment Design Combined with Buckingham Pi Theorem

et al. 2021

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Scaling up bioprocesses from the experimental to the pilot or industrial scale involves heuristics and scale relationships that are far from the specific phenomena and are usually not connected to the experimental data. In complex systems, the scaling-up methodology must connect the experimental data with the tools of engineering design. In this work, a two-stage gold bioleaching process was used as a case study to develop a mathematical model of bioprocess scaling that combines the design of experiments with dimensional analysis using the Buckingham Pi theorem to formulate a predictive model that allows scaling up bioprocesses. It was found that the C/N, C/K, and T/C ratios are dimensionless factors that can explain the behavior of a system. Using the Pearson Product–Moment bivariate analysis, it was found that the dimensionless factors C/N and C/K were correlated with the leaching potential of the fermented broth at 1060 cm−1. With these results, a non-linear logarithmic model based on dimensionless parameters was proposed to explain the behavior of the system with a correlation coefficient of R2 = 0.9889, showing that the optimal conditions to produce fermented broth comprised a C/N ratio close to 50 and a C/K ratio close to 800, which allows predicting the scaling of the bioprocess.

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Section: Mathematical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mathematical Model for Scaling up Bioprocesses Using Experiment Design Combined with Buckingham Pi Theorem

et al. 2021

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“…Another powerful, emerging treatment methodology is the Microbial fuel cells (MFCs) technology which capitalizes on the bioelectrical catalytic activity of microorganisms to generate electric power by oxidizing the organic matter and sometimes inorganic material in wastewater. MFC technology offers a dual goal as it allows for energy recovery and wastewater treatment in a single configuration [7,8].…”

Section: Introductionmentioning

confidence: 99%

Emerging Trends in Wastewater Treatment Technologies: The Current Perspective

Armah¹,

Chetty²,

Adedeji³

et al. 2021

Promising Techniques for Wastewater Treatment and Water Quality Assessment

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The quality of freshwater and its supply, particularly for domestic and industrial purposes are waning due to urbanization and inefficient conventional wastewater treatment (WWT) processes. For decades, conventional WWT processes have succeeded to some extent in treating effluents to meet standard discharge requirements. However, improvements in WWT are necessary to render treated wastewater for re-use in the industrial, agricultural, and domestic sectors. Three emerging technologies including membrane technology, microbial fuel cells and microalgae, as well as WWT strategies are discussed in this chapter. These applications are a promising alternative for manifold WWT processes and distribution systems in mitigating contaminants to meet acceptable limitations. The basic principles, types and applications, merits, and demerits of the aforementioned technologies are addressed in relation to their current limitations and future research needs. The development in WWT blueprints will augment the application of these emerging technologies for sustainable management and water conservation, with re-use strategies.

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“…The electrons are transported to cathode through an electrical circuit and combine with proton to form water [2,3]. MFC is used as for waste water treatment and electricity generation simultaneously [4]. It can be also used as biosensor.…”

Section: Introductionmentioning

confidence: 99%

Bioelectricity Production through Microbial Fuel Cell: Sustainable Energy Source

Kumar¹

2020

IJMTST

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Current world is facing the twin crisis of energy security due to depletion of non renewable energy sources and climate change caused by green house effect. This has led the researchers to think for various alternatives for sustainable energy production. Fuel cell technology has emerged as one of the potential options for generating clean and efficient energy. Microbial fuel cell (MFC) is a device for the conversion of chemical energy stored in organic compounds into electrical energy with the help of different microorganisms. For practical application of MFC, the main factors that are considered are efficiency and low costs. Efficiency of MFC is dependent on the effectiveness of the anode and cathode materials used in the fuel cell. In this review paper, various developments in electrode materials for microbial fuel cells (MFC) are discussed. Various modifications of anode and cathode materials for enhancement of power generation and simultaneous waste water treatment are also explored.

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Review on design factors of microbial fuel cells using Buckingham's Pi Theorem

Cited by 25 publications

References 133 publications

Mathematical Model for Scaling up Bioprocesses Using Experiment Design Combined with Buckingham Pi Theorem

Mathematical Model for Scaling up Bioprocesses Using Experiment Design Combined with Buckingham Pi Theorem

Emerging Trends in Wastewater Treatment Technologies: The Current Perspective

Bioelectricity Production through Microbial Fuel Cell: Sustainable Energy Source

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