On modeling and optimization of micro-photosynthetic power cells

Tanneru, Hemanth Kumar; Suresh, Resmi; Rengaswamy, Raghunathan

doi:10.1016/j.compchemeng.2017.02.015

Cited by 5 publications

(7 citation statements)

References 13 publications

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“…The applications of the Nernst equation (Equation (4)) to the μ-PSC are demonstrated in our previous works. [27][28][29] For the details on the applications of the Nernst equation to the μ-PSC, the readers are redirected to refer these studies. [27][28][29]…”

Section: Fundamentals Of μ-Pscsmentioning

confidence: 99%

Review on Microphotosynthetic Power Cells—A Low‐Power Energy‐Harvesting Bioelectrochemical Cell: From Fundamentals to Applications

et al. 2021

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Biophotoelectrochemical cells are gaining prominence in recent years due to the necessity of sustainable power generation at both micro-and macroscale. Toward this direction, microphotosynthetic power cells (μ-PSC) play a vital role in generating clean energy. The μ-PSC generates sustainable power under light and in the dark through the photosynthesis and respiration of photosynthetic microorganisms or cells, such as cyanobacteria and green algae. Herein, particulars on μ-PSCs from fundamentals to real-time applications are provided. The state of the art of μ-PSCs, in terms of the principle of operation, design, and materials is presented. μ-PSCs reported to date are classified based on design, operating parameters, and photosynthetic organisms. In addition, details on the metrics and factors influencing the performance of μ-PSCs are also discussed. The need for the development of mathematical and electrical equivalent models of μ-PSCs and the progress in these areas are briefed. Current challenges for μ-PSCs' commercialization are identified as high cost and low power densities, and the factors that are leading to low power density and high cost are explored and are also discussed. In addition, the potential solutions to overcome these challenges are investigated.

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Section: Fundamentals Of μ-Pscsmentioning

confidence: 99%

Review on Microphotosynthetic Power Cells—A Low‐Power Energy‐Harvesting Bioelectrochemical Cell: From Fundamentals to Applications

et al. 2021

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“…There has been a considerable amount of work till now, in terms of developing new designs, 3,10,27,28 mathematical modeling [29][30][31][32] and design of power circuits for energy harvesting. 11,33 While research in individual aspects has already started and is in progress, a systematic study of interrelated issues of choosing materials, designs and operating conditions is much in demand.…”

Section: Current Statusmentioning

confidence: 99%

“…Mathematical modeling.-Mathematical models developed currently can predict the performance of the device with the specific algae with specific design. 30 In these models, the kinetics of the photosynthesis and respiration rate of the photosynthetic organisms, and the rates of diffusion of mediators into microorganisms are not explicitly considered. Also, the rate constants of the reactions at the electrodes are obtained from the performance curves of μPSCs.…”

Section: Performance Improvementsmentioning

confidence: 99%

Perspective—Micro Photosynthetic Power Cells

Tanneru

Kuruvinashetti

Pillay

et al. 2019

J. Electrochem. Soc.

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Micro-photosynthetic power cell (μPSC) is one of the emerging energy harvesting technologies which harvests energy using light (photosynthesis) and carbohydrate metabolism in dark (respiration) for low-power (mW range) applications. μPSC is a green technology that not only uses solar power and algae, but also provides power in both dark and light conditions. This perspective article provides state of the art of μPSC technology in terms of fabrication, mathematical modeling and energy harvesting circuit design. Currently, low power densities and high cost are the factors limiting μPSCs commercialization. Key aspects and methods to enhance the performance and decrease the cost are proposed in this paper.

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“…Modeling such complex systems enables understanding the underlying phenomenon of the device, and it aids in optimizing the metrics of the device [28]. The modeling of this µPSC is feasible via the coupled solution of the Nernst equation and the Butler-Volmer equation.…”

Section: Introductionmentioning

confidence: 99%

Micro Photosynthetic Power Cell Array for Energy Harvesting: Bio-Inspired Modeling, Testing and Verification

Kuruvinashetti,

Pakkiriswami,

M. Panneerselvam

et al. 2024

Energies

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A micro-photosynthetic power cell (µPSC) generates electricity through the exploitation of living photosynthetic organisms through the principles of photosynthesis and respiration. Modeling such systems will enhance insights into the µPSC that can be employed to design real-time applications from µPSC. In this study, the bio-inspired electrical equivalent modeling of the array of µPSC is elucidated. The model is validated for array configurations of the micro-photosynthetic power cells. The developed arrayed model foresees the steady-state response at various electrical loadings. The polarization characteristics of the current-voltage (I-V) and current-power (I-P) characteristics of the array of µPSC in series and parallel, and their combinations in series and parallel connected µPSCs were validated with the experimental results. From this analysis, it is predicted that the arraying of the µPSC in the combination of series and parallel is the optimal array strategy to obtain the desired voltage and current from the µPSC such that it can be used to power real-time low and ultra-low power devices.

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On modeling and optimization of micro-photosynthetic power cells

Cited by 5 publications

References 13 publications

Review on Microphotosynthetic Power Cells—A Low‐Power Energy‐Harvesting Bioelectrochemical Cell: From Fundamentals to Applications

Review on Microphotosynthetic Power Cells—A Low‐Power Energy‐Harvesting Bioelectrochemical Cell: From Fundamentals to Applications

Perspective—Micro Photosynthetic Power Cells

Micro Photosynthetic Power Cell Array for Energy Harvesting: Bio-Inspired Modeling, Testing and Verification

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