Abstract:In the present work, a detailed model of simultaneous heat and mass transfer through a desiccant micro-porous medium of a channel wall of compact heat and mass exchangers, such as desiccant wheels, was developed. The relevant phenomena considered by this model within the porous medium are surface diffusion of the adsorbed water, Knudsen diffusion of water vapour, heat conduction and the sorption process. A onedimensional formulation of this model is used to investigate the validity of two simplifying approache… Show more
“…(1) Humid air is the mixture of an ideal gas, and Dalton's law of partial pressures is true [35]. (2) One-dimensional transient heat and mass transfer are considered [36].…”
Section: Governing Equationmentioning
confidence: 99%
“…In order to understand performance of dehumidifier, it is necessary to consider effects of component operation in a transient state. Ruivo et al [35], based on the lumped-capacitance method used a one-dimensional formulation to investigate the validity of two simplifying approaches of neglecting the transversal heat and mass transfer resistance within the porous medium and cancelling only the thermal resistance on desiccant wheel. They showed that the Biot number for surface diffusion is several orders of magnitude higher than the corresponding thermal Biot number.…”
A mathematical model is developed using the Matlab/Simulink platform to investigate heat and mass transfer performance of cross-flow and counterflow dehumidifiers with Lithium Chloride (LiCl) solution. In the liquid desiccant dehumidifier, the orthogonal polynomial basis is used to simulate the combined processes of heat and mass transfer. The temperature profiles on cross-flow and countercurrent flow dehumidifiers are demonstrated. The resultant counter flow air changes the temperature profile of the LiCl solution in the longitudinal direction because of the drag forces. In addition, when inlet airflow rate reaches 15 kg·s −1 , the temperature effect becomes less obvious and may be reasonably negligible. Under these conditions, the air changes the design factor and determines the interfacial temperature. It is demonstrated that the mathematical model can be of great value in the design and improvement of cross-flow and countercurrent flow dehumidifiers.
“…(1) Humid air is the mixture of an ideal gas, and Dalton's law of partial pressures is true [35]. (2) One-dimensional transient heat and mass transfer are considered [36].…”
Section: Governing Equationmentioning
confidence: 99%
“…In order to understand performance of dehumidifier, it is necessary to consider effects of component operation in a transient state. Ruivo et al [35], based on the lumped-capacitance method used a one-dimensional formulation to investigate the validity of two simplifying approaches of neglecting the transversal heat and mass transfer resistance within the porous medium and cancelling only the thermal resistance on desiccant wheel. They showed that the Biot number for surface diffusion is several orders of magnitude higher than the corresponding thermal Biot number.…”
A mathematical model is developed using the Matlab/Simulink platform to investigate heat and mass transfer performance of cross-flow and counterflow dehumidifiers with Lithium Chloride (LiCl) solution. In the liquid desiccant dehumidifier, the orthogonal polynomial basis is used to simulate the combined processes of heat and mass transfer. The temperature profiles on cross-flow and countercurrent flow dehumidifiers are demonstrated. The resultant counter flow air changes the temperature profile of the LiCl solution in the longitudinal direction because of the drag forces. In addition, when inlet airflow rate reaches 15 kg·s −1 , the temperature effect becomes less obvious and may be reasonably negligible. Under these conditions, the air changes the design factor and determines the interfacial temperature. It is demonstrated that the mathematical model can be of great value in the design and improvement of cross-flow and countercurrent flow dehumidifiers.
“…where D s is the surface diffusivity, and calculated by [30][31][32], q d is the density of the desiccant particle, and C w is the moisture content of the desiccant. D 0 is a constant that depends on the adsorbent and b depends on the type of adsorption bond.…”
Section: Moisture Transport In Desiccant Feltmentioning
“…They also discussed the effect of some practical issues such as wheel purge, residual water in the desiccant and the wheel supporting structure on the wheel performance. Ruivo et al [14] developed 1D transient heat and mass transfer model for desiccant wheel and presented two approaches. In the first approach, the model was valid for thickness lower than 0.1 mm, neglecting the transversal heat and mass transfer resistance in micro porous desiccant while in the second approach, the model was valid for thickness lower than 5 mm, neglecting only thermal resistance.…”
A mathematical model for predicting the performance of a desiccant wheel with effective regeneration sector has been used. This model has been used to conduct a comparative performance of desiccant wheel with effective and ordinary regeneration sector. It was found that for all the cases considered in this study like rotation of wheel, regeneration temperature, velocity and ambient moisture, the desiccant wheel with ''effective regeneration sector'' gives better result as compared to ordinary regeneration sector.
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