LBM Simulation of Heat Transfer in Solid Oxide Fuel Cell

Mejri, Imen; Mahmoudi, Ahmed; Abbassi, Mohamed Ammar; Omri, Ahmed

doi:10.18280/ijht.340301

Cited by 3 publications

(5 citation statements)

References 11 publications

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“…Thermal lattice Boltzmann model was successfully used to simulate thermal fluid problems under mass transport processes 30‐34 . Amaya‐Ventura et al 30 used LBM to evaluate non‐isothermal bioelectrochemical phenomena in an enzyme reactor.…”

Section: Introductionmentioning

confidence: 99%

“…Chen et al 31 used lattice Boltzmann model to investigate hydrogen production due to physicochemical thermal processes at the pore‐scale. Mejri et al 32 used thermal LBM to investigate radiative effects on temperature distribution in the solid oxide fuel cell. Lattice Boltzmann model was used to examine unsteady mass transfer during hydrogen desorption in a metal hydride storage tank considering different temperature and heat transfer effects 33 .…”

Section: Introductionmentioning

confidence: 99%

“…Thermal lattice Boltzmann model was successfully used to simulate thermal fluid problems under mass transport processes. [30][31][32][33][34] Amaya-Ventura et al 30 used LBM to evaluate non-isothermal bioelectrochemical phenomena in an enzyme reactor. Chen et al 31 used lattice Boltzmann model to investigate hydrogen production due to physicochemical thermal processes at the pore-scale.…”

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confidence: 99%

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Modeling coupled temperature and transport effects on biofilm growth using thermal lattice Boltzmann model

Delavar

Wang

2021

AIChE Journal

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This paper aims to develop an integrated thermal lattice Boltzmann model and cellular automata to investigate the effects of different temperatures and velocities on biofilm growth in a microbioreactor. Compared with previous studies this model accounted for direct effects of transient temperature on biofilm growth and indirect effects caused by changes of fluid properties. In addition, the algorithms have been improved on variations in solid boundary conditions, detachment and extra mass transport. Results showed that temperature affected both maximum biofilm concentration and growth rate. An increase of 10-75% in biofilm concentration was observed roughly due to increases in temperature. The time required to reach maximum concentration decreased from 30 days at a low temperature to 5 days at a high temperature. This demonstrates the capability of the present model to simulate biofilm behavior in the microbioreactor and its potential industrial and clinical applications.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Modeling coupled temperature and transport effects on biofilm growth using thermal lattice Boltzmann model

Delavar

Wang

2021

AIChE Journal

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“…In this context, the technology based on the use of solid oxide fuel cell has many advantages in terms of energy efficiency and environmental impact [3,4]. These can be fed not only with H2 but also with natural gas, gas from fossil fuels or biomass, unlike the fuel cell at low temperatures which only require the use of pure fuels.…”

Section: Introductionmentioning

confidence: 99%

Influence of anodic gas mixture composition on solid oxide fuel cell performance: Part 1

Murgi¹,

Lorenzo²,

Corigliano³

et al. 2016

IJHT

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Solid oxide fuel cells can be fed not only by conventional fuels (methane or hydrogen), but also by nonconventional fuels such as syngas (H2, CO, N2, CO2, H2O). In terms of CO/H2 ratio, N2, CO2 and H2O concentrations, and mass flow, the anodic gas mixture composition can affect SOFC performance and create a carbon deposition phenomenon. In this paper a careful analysis of SOFCs performance for varying concentrations of the gas components of a generic stream of syngas and operating conditions (pressure, temperature), was performed in order to plan the actual test campaigns. This study showed that the CO/H2 ratio is the parameter to which must be given the most attention. This factor not only directly affects the performance of the fuel cell, but also affects its useful life, because carbon deposition is directly determined by the concentration of CO in the gas-mixture. The ratio has been found that provides the best performance without incurring in carbon deposition, which is in the range 20/80 ÷ 35/65. The paper reports a first stage of analysis (Part 1), whereas the second stage of analysis is reported in a subsequent paper (Part 2) where performances are assessed with regards to main operating parameters.

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“…An advantage of SOFCs is that they can be fed not only by conventional fuels (methane or hydrogen), but also by nonconventional fuels such as syngas, i.e. the gas produced by coal or woody biomass gasification, which is mainly composed of carbon monoxide (CO), hydrogen (H2) and carbon dioxide (CO2) [2,3,4].…”

Section: Introductionmentioning

confidence: 99%

Influence of anodic gas mixture composition on solid oxide fuel cell performance: Part 2

Murgi¹,

Lorenzo²,

Corigliano³

et al. 2016

IJHT

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Solid oxide fuel cells are very promising devices for clean energy. Their goodness is amplified by fuel flexibility opening the possibility of fuelling with alternative and clean fuels such as syngas, deriving from biomass conversion treatments. This paper follows a first paper (Part 1) where analysis in terms of fuel composition, specifically in terms of CO/H2 ratio, were carried out, mainly to outline the field that enables a secure functioning far from carbon deposition. In this paper (Part 2) a careful analysis of SOFCs performance for varying concentrations of the gas components of a generic stream of syngas (H2, CO, N2, CO2, H2O) and operating conditions (pressure, temperature, flow rate of the gas-mixture), was performed in order to plan the actual test campaigns. The effects the significant parameters have on fuel cell performance will then be exhibited by the analysis of the planned testing campaigns to be performed on a generic laboratory prototype.

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LBM Simulation of Heat Transfer in Solid Oxide Fuel Cell

Cited by 3 publications

References 11 publications

Modeling coupled temperature and transport effects on biofilm growth using thermal lattice Boltzmann model

Modeling coupled temperature and transport effects on biofilm growth using thermal lattice Boltzmann model

Influence of anodic gas mixture composition on solid oxide fuel cell performance: Part 1

Influence of anodic gas mixture composition on solid oxide fuel cell performance: Part 2

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