Thermally regulated cylinder for adsorption storage of a hydrogenous gas

Vasiliev, L. L.; Kanonchik, L. E.; Rabetsky, M.I.

doi:10.1016/j.ijheatmasstransfer.2013.12.018

Cited by 11 publications

(12 citation statements)

References 6 publications

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“…Where q is the instantaneous adsorption uptake, q in is the initial adsorption uptake, D/R p 2 is the diffusion time constant and q * is the equilibrium adsorption uptake given by (11) The linear driving force (LDF) equation (12) is also a wellknown and simple model that could describe the adsorption kinetics of different adsorbent-adsorbate pairs.…”

Section: Mathematical Modelmentioning

confidence: 99%

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Non-isothermal adsorption rate model of activated carbon-ethanol pair for solar cooling applications estimated through CFD simulation

Jribi

Miyazaki

Koyama

et al. 2016

2016 7th International Renewable Energy Congress (IREC)

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Adsorption cooling systems (ACS) are feasible alternative to vapor compression cooling system as they employ natural and benign refrigerants and could be driven by solar energy or waste heat. Performance optimization of ACS could be carried out using CFD simulations with lower cost and faster time comparing to experimental testing. One of the crucial parameters to obtain reliable CFD simulation results is the diffusion time constant of adsorption rate equation estimated from experimental data. This study presents transient CFD simulations of ethanol adsorption onto activated carbon powder of type Maxsorb III carried out by Ansys-Fluent v14.5 software using 2D-axisymmetric geometry. The mathematical model consists of mass, momentum and energy conservation equations as well as adsorption isotherm and adsorption kinetic equations implemented via user defined functions (UDFs). The conditions used were same as those employed in gravimetric adsorption analyzer that is 30˚C, 2.25 kPa and 3.32 kPa for temperature, initial and inlet pressures, respectively. Through multiple CFD simulations, we estimated the appropriate diffusion time constant of non-isothermal linear driving force (LDF) equation which led to simulated adsorption uptakes agreeing fairly with those measured experimentally. The mathematical model employing non-isothermal LDF equation could be implemented to simulate the heat and mass transfer in large scale adsorption/desorption bed and to optimize the performance of activated carbon-ethanol based adsorption cooling system.

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Section: Mathematical Modelmentioning

confidence: 99%

“…CFD simulations of activated carbonmethanol based adsorption cooling system were investigated for mobile air conditioning [8]. Similarly, 2D-axisymmetric heat and mass transfer simulations were carried out for 978-1-4673-9768-1/16/$31.00 ©2016 hydrogen and methane adsorption onto activated carbon for gas storage applications [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Non-isothermal adsorption rate model of activated carbon-ethanol pair for solar cooling applications estimated through CFD simulation

Jribi

Miyazaki

Koyama

et al. 2016

2016 7th International Renewable Energy Congress (IREC)

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“…The distribution of fins across the adsorbent bed is also recommended by Vasiliev et al (2014) on the adsorption of hydrogen on Busofit activated carbon. In this case, fins are connected to a double-pipe heat exchanger traversed by a cooling fluid at 233 K, which is built in the centre of the adsorbent bed.…”

Section: Design Approachesmentioning

confidence: 99%

“…It is important to remark, however, that the models presented by Mota et al (2004) and Vasiliev et al (2014) are dependent on intense active cooling, based on cooling fluids at 80 • C and −40 • C, respectively, flowing across the whole adsorbent bed length. The gains achievable with such methods are naturally high, although the energy required to run such systems can make them less efficient per unit of gas stored.…”

Section: Design Approachesmentioning

confidence: 99%

“…The Finite Volume Method (FVM) is adopted in Santos et al (2009), Mota et al (2004) and Vasiliev et al (2014) and the Finite Element Method (FEM) in Yonge (1992) and Sahoo et al (2011). FVM and FEM are the most popular techniques for solving problems with coupled heat transfer and fluid flow, sharing the same fundamental idea of satisfying a weak form, differing on the choice of the weighting function (CHAO et al, 2002).…”

Section: Numerical Modellingmentioning

confidence: 99%

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Design of adsorption systems by topology optimisation.

Amigo¹

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ResumoAdsorçãoé um mecanismo de retençao de moléculas de um fluido em superfícies solidas e apresenta um vasto campo de aplicações, como em refrigeração, processos de separação e armazenamento de combustível. Este trabalho descreve o modelo de adsorção de gás em meios porosos e define uma abordagem de otimização de sistemas de adsorção baseada no Método de Otimização Topológica (MOT). Uma formulação abrangente para os fenômenos de adsorção e dessorçãoé apresentada, detalhando a dedução de seus formas fracas e montagem das matrizes para a implementação do Método dos Elementos Finitos (MEF). As sensibilidades das funções-objetivo em relaçãoàs variaveis de projeto são obtidas pelo método adjunto, que tambémé apresentado em detalhe. A implementação numericaé auxiliada pelos pacotes FEniCS e Dolfin Adjoint, originando uma ferramenta genérica para a otimização de sistemas de adsorção. Este métodoé aplicado ao projeto de tanques de Gas Natural Adsorvido (GNA) visando transporte, armazenamento e consumo. Tanques otimizados são propostos e comparados com tanques tradicionais, apresentando melhora dos objetivos de projeto.Palavras-Chave -Topologia (Otimização), Método dos Elementos Finitos, Adsorção. AbstractAdsorption is a retention mechanism of fluid molecules on solid surfaces and presents a wide range of applications, such as refrigeration, separation processes and fuel storage. This work describes the modelling of gas adsorption on porous media and presents an optimisation approach for the design of adsorption systems based on topology optimisation. A comprehensive formulation for the adsorption and desorption phenomena is presented, detailing the derivation of their weak forms and assembling the matrices for the implementation of the Finite Element Method (FEM). The sensitivities of objective functions to topology optimisation design variables are obtained by the adjoint method, which is presented in detail. The numerical implementation is aided by FEniCS and Dolfin Adjoint packages, resulting in a generic software for the optimisation of adsorption systems. The method is applied for the design of Adsorbed Natural Gas (ANG) tanks for on-demand consumption. Optimised tank layouts are proposed and compared with standard tanks, presenting improvement of the design objectives.

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