Mass Transfer Equations Research Articles

Inclined MHD Effects in Tapered Asymmetric Porous Channel with Peristalsis: Applications in Biomedicine

This paper emphasized an inclined magnetohydrodynamics (MHD) effects in tapered asymmetric porous channel with peristalsis in the presence of slip boundary conditions. Here we considered the two-dimensional channel with a porous medium. The fundamental assumptions of long wavelength and low Reynolds number are applied in the relevant nonlinear equations for momentum, heat, and mass transfer as part of mathematical modeling. The equations subjected to slip boundary conditions have been solved numerically by the Mathematica software. Various essential physical characteristics of velocity, temperature, concentration, and heat transfer rate are captured graphically in the end. The velocity profile is found parabolic for various involved parameters. It is observed that the embedded parameters behave in the exact opposite manner when compared with temperature and concentration distributions. The sinusoidal behavior of the heat transfer rate is also displayed. The unique aspect of this effort is specifically to relate the Joule heating, Darcy resistance, and inclined magnetic field effects in peristaltic flow for a non-Newtonian Jeffrey fluid in an asymmetric tapered channel under the influence of slip boundary conditions. Such preferences have a wide range of applications in engineering, biology, and industry. The outcomes of the presented work are also proficient in the medical field for the treatment of cancer using MHD. The MHD also aids in controlling blood pressure during systolic and diastolic pressure conditions by regulating the blood flow stream.

Insight into mass transfer during adsorption of geniposidic acid onto a fixed-bed column by numerical simulation considering influence of operating conditions on column adsorption performance

In this work, the adsorption rate of geniposidic acid (GSA) on a fixed-bed column packed with porous adsorbents was studied, thoroughly by a Fick pore diffusion model based on numerical simulation and 3D visualization. Adsorption breakthrough curves of GSA were studied experimentally, under various operation conditions such as feeding concentrations, flow rates and packed column aspect ratio. For ion exchange adsorption of GSA onto the adsorbent used in this paper, a maximum adsorption capacity reached 637.5 mmol·L−1 at 298.5 K. Modeling method for an adsorption packed column was based on the coupling of mass transfer equations with a steady velocity field obtained from Navier-Stokes equation. A finite element method was adopted by COMSOL Multiphysics with proper mesh refinement, to solve the equation system. Moreover, the influences of operation conditions on the magnitude and direction of mass fluxes induced by convection and diffusion were analyzed in details. 3D data of Mass fluxes proved that the existence of forming period and transferring period of mass transfer zone (MTZ), which are important knowledge for comprehending the dynamics of adsorption process. The magnitude of convection flux was almost 107–108 times larger than that of pore diffusion flux. Average pore diffusion diffusivities of GSA and Cl− were fitted to be 5.19 × 10−10 and 1.71 × 10−9 m2·s−1, while their maximal mass fluxes were 9.366 × 10−3 and 3.926 × 10−3 mol m−2·s−1 in simulations, respectively. Finally, adsorption and elution recycle experiments proved the feasibility of the novel GSA adsorption technology in the future scaling-up process.

Insight into the behavior regulation of drug transfer of nimodipine loaded PLGA microspheres by emulsion evaporation method

In the process of preparing microspheres by evaporation of emulsion, drug transfer in the system makes it difficult to control the drug loading and encapsulation efficiency of the product. In this study, Nimodipine loaded microspheres were prepared using poly(lactic-co-glycolic acid) (PLGA) as the matrix materials. The transfer process of drug molecules and solvent molecules in the preparation process were observed by online imaging. Combined with weighing experiments and molecular simulation, three stages of dichloromethane (DCM) diffusion in oil phase were proposed. At 20 °C,15 % and 46 % of DCM content were taken as the critical point, and between the content was slow volatilization stage, which dominated the occurrence of drug reflux and crystallization. The oil phase diffusion and emulsion mass transfer equations of DCM were proposed to judge the influence of each single factor on drug molecular transfer. Low temperature, oil-water ratio and stirring speed could slow down the volatilization of DCM and increase the drug loading and encapsulation efficiency. Low stirring speed could increase the drug loading while avoiding crystallization and reflux, which was the best control factor.

Investigation of the PCM layer thickness and heat extraction on the thermal efficiency of salt gradient solar ponds

The salt gradient solar pond (SGSP) is a renewable energy system that absorbs solar irradiation and keeps it as heat. The application of the SGSP in the cold seasons is limited. To keep the temperature of the SGSP in cold seasons, the heat extraction rate should be reduced or the Phase Change Material (PCM) is employed. The present study investigates the impact of the PCM with a melting temperature of 56 °C on the efficiency and applicability of the SGSP. The one-dimensional model of the SGSP including the heat and mass transfer equations are modelled using the finite volume method. The results showed that the latent heat emitted from the PCM helps maintain the temperature of the LCZ layer at the melting temperature of the PCM and enhances the efficiency of SGSP during the cold seasons. The effective thickness of the PCM is investigated and showed that it depends on the heat extraction rate. Using the effective PCM thickness, the average solar pond efficiencies increase to 11.5 and 13.8 for heat extraction rates of 21 W/m2 and 25 W/m2, using a PCM thickness of 0.4 m and 0.8 m, respectively.

FORECASTING OF RADIOACTIVE CONTAMINATION OF ATMOSPHERIC AIR IN AN EXTREME SITUATION AT NPP

Problem statement. The task of assessing the level of atmospheric air radioactive contamination in the case of an extreme situation on the territory of the Zaporizhzhya NPP, which leads to an instantaneous radioactive aerosol emission, is considered. An analysis of the dynamics for the zones’ formation of radioactive contamination in the wind direction towards Nikopol is conducted. For the prompt solution of this of this forecast issue, the creation of a multifactorial numerical model is required, which allows for prompt analysis of the size and intensity of radioactive contamination areas. The purpose of the article. Creation of a numerical model and computer code for the operational analysis of radioactive contamination areas formed during the instantaneous release of radioactive pollutants into the atmosphere. Methodology. The computer code is based on a numerical model, which is a differential analogue of the multifactor kinematic equation of mass transfer of a radioactive impurity in atmospheric air. The mass transfer equation takes into account the wind speed field, atmospheric turbulent diffusion, and the intensity of radioactive substances emission into the air. For the numerical integration of the mass transfer equation, the splitting method is used followed by the use of finite-difference schemes. Determination of the volumetric activity value at each splitting step is implemented by an explicit formula. Scientific novelty. An effective numerical model was developed and its software implementation was conducted for operational analysis of the formation of radioactive contamination areas in the atmosphere during an extreme situation at a nuclear power plant, accompanied by the emission of radioactive substances. The model takes into account a complex of factors that affect the process of radioactive impurities spread in the atmosphere. Practical value. A computer code was developed for calculating the dynamics of the formation of radioactive contamination zones in the atmosphere based on the developed numerical model. This makes it possible to analyze the consequences of emergency emissions on the territory of the NPP using the computational experiment method. Conclusions. A mathematical model was developed for the operational analysis of radioactive contamination level of the atmospheric air due to an extreme situation at the nuclear power plant, which leads to an intense instantaneous release of radioactive substances. The results of a computational experiment based on the developed numerical model are presented.

Accurate cavity volume testing based on micropressure differential gas inflation and deflation

For cavity volume testing, conventional optical or acoustic direct test methods are not only limited in terms of measurement efficiency, but also have difficulty avoiding errors due to complex cavity structures. In this paper, we present a cavity volume test based on micropressure differential gas inflation and deflation. The principle of the method is to charge and deflate the test cavity and obtain a mapping between the microbe difference and the inflating flow rate. Variability curves of the pressure difference inside and outside the cavity are measured during the deflating process and the cavity volume is calculated using parameters such as the intake flow rate and differential pressure. The heat and mass transfer equations are formulated for the gas in the cavity under inflation and deflation conditions. Numerical simulations of the variability of the gas state parameters and their impact factors are performed to verify the feasibility of the volumetric measurements. An experimental setup for volume measurements is constructed and a cockpit is used as an application object for volume measurement experiments under different micropressure differential inflation and deflation conditions. It shown that, as a complement to geometrical physical measurements, this method can better characterize the gas volume of the cavity.

A dynamic model of tablet film coating processes for control system design

Aqueous film coating is a common and important step in the production of most pharmaceutical tablets. Controlling this process is beneficial to maintain stable and optimal operation and the use of a model capable of describing its main physical phenomena is fundamental for control system design. This paper presents the development of a dynamic macro scale model of a pan coater based on energy and mass transfer equations. Model complexity is kept low to simplify parameterization and allow for real-time applications, such as the development of system observers to estimate critical unmeasured variables. Pilot plant data from seven batches, ran according to designed experiments, are used for model calibration and validation. The final model adequately captures the global trajectories of the main process variables; mean differences between experimental and simulated values are below 2 °C for the outlet gas and tablet bed temperatures, and 2% for the outlet gas relative humidity.

Modeling of the transport and diffusion phenomena for petroleum aromatic hydrocarbons from spilled crude oil in a stagnant mangrove water body

In water, oil spill constitutes serious environmental concern. When impacted water is flowing, it can be self-cleansed by waves. Turbulent water bodies have attracted huge research attention with many models available. However, it becomes different with non-turbulent and stagnant water as in the case with mangrove swamps. This paper reports the development of mathematical models for monitoring transport and diffusion phenomena of aromatics through water column using equations of transport and mass transfer. The models were validated using results from a simulated stagnant water polluted with crude oil. From the result, aromatics transported through water at 0.25 m and 1 m for month 1 is 12.988 µg/l and 0.081 µg/l for experiment and 9.215 µg/l, and 0.0781 µg/l for model, respectively. While month 5, was 48.982 µg/l and 1.890 µg/l for experiment and 39.850 µg/l and 1.650 µg/l for model, respectively. These and others reported show that the models can adequately predict the transport of aromatics through such water body.

Mathematical Model and Numerical Method of Calculating the Dynamics of High-Temperature Drying of Milled Peat for the Production of Fuel Briquettes

Milled peat must be dried for the production of peat fuel briquettes. The current trend in the creation of drying technologies is the intensification of the dehydration process while obtaining a high-quality final product. An increase in the temperature of the drying agent, above 300 °C, significantly accelerates the reaching of the final moisture content of the peat. In the final stage, it is also accompanied by partial thermal decomposition of the solid phase. Its first stage, which is the decomposition of hemicellulose, contributes to a decrease in weight and an increase in the caloric content of the dry residue. The development of high-temperature drying modes consists of determining the temperature and velocity of the drying agent, wherein the duration of the material reaching the equilibrium moisture content will be minimal and the temperature of the material will not rise above the second-stage decomposition temperature of cellulose. This problem can be solved by the mathematical modeling of the dynamics of peat particles drying in the flow. The article presents a mathematical model of heat and mass transfer, phase transitions, and shrinkage during the dehydration of milled peat particles. The equations of the mathematical model were built based on the differential equation of mass transfer in open deformable systems, which, in the absence of deformations, turns into the known equation of state. A numerical method for implementing a mathematical model has been developed. The adequacy of the mathematical model is confirmed by comparing the results of numerical modeling with known experimental data.

Towards the technological maturity of membrane distillation: the MD module performance curve

Membrane distillation (MD) is constantly acknowledged in the research literature as a promising technology for the future of desalination, with an increasing number of studies reported year after year. However, real MD applications still lag behind with only a few pilot-plant tests worldwide. The lack of technology transfer from academia to industry is caused by important gaps between its fundamental basis and the process design. Herein, we explore critical disconnections by conducting coupled mass and heat transfer modeling and MD simulations; we use well-known MD mass and heat transfer equations to model and simulate flux over a typical MD membrane for different geometries, areas, and operational conditions in direct contact configuration. From the analysis of the results, we propose research guidelines and process development strategies, and construct an MD module performance curve. From this graph, permeate flow rate, thermal energy consumption and outlet temperatures can be determined for given feed inlet conditions (temperature and concentration). Comprehensive tools such as this MD module curve and good communication between membrane developers and process engineers are required to accelerate the process of bringing the MD technology from a still-emerging status to a maturity level.

Application of Keller-Box Method to the Heat and Mass Transfer Analysis of Magnetohydrodynamic Flow of Micropolar Fluid between Porous Parallel Walls of Different Permeability

The present work seeks to investigate the problem of stable laminar micropolar fluid flow through porous walls of varying permeability. Furthermore, the effect of an external magnetic field is investigated. The resulting solution is extended to analyse the nonlinear differential equation of heat and mass transfer in the flow situation. The velocity and microrotation at the channel’s entrance are assumed to be those of Poiseuille flow. Using appropriate transformations, the governing nonlinear equations are transformed to a system of ordinary differential equations, which are then solved using a novel numerical technique based on a finite difference scheme termed the Keller-box method. The results show that the smooth and straightforward Keller-box method is an appropriate method for estimating solutions of complex governing equations since it is simple to implement. Graphs and tables are used to explain the effect of significant parameters such as the suction Reynolds number, micro rotation/angular velocity parameters, and Peclet number on the stream function, temperature distribution, and concentration properties of the fluid. The effect of wall permeability on longitudinal velocity and microrotation has been investigated. The couple stress and skin friction on the walls have also been calculated. The effect of variation in Reynolds number is showing the importance of inertial forces in comparison with viscous forces. The velocity boundary layer is observed to decrease when there is an increase in Reynolds number. Furthermore, the accuracy and convergence of the obtained solutions show that the Keller-box method is applicable to various nonlinear physical problems, even those with significant non-linearity.

Applications of Orthogonal Polynomials in Simulations of Mass Transfer Diffusion Equation Arising in Food Engineering

In this paper, Chebyshev polynomials—which are ultraspherical in the first and second kind and hence symmetric, while the third and fourth order are not ultraspherical and are hence non-symmetric—are used for the simulation of two-dimensional mass transfer equation arising during the convective air drying processes of food products subject to Robin and Neumann boundary conditions. These simulations are used to improve the quality of dried food products and for prediction of the moisture distributions. The equation is discretized in both temporal and special variables by using the second order finite difference scheme and spectral method based on Chebyshev polynomial with the help of fast Fourier transform on tensor product grid, respectively. A system of algebraic equations is obtained after applying the proposed numerical scheme, which is then solved by an appropriate iterative method. The error analysis of the proposed scheme is provided. Some numerical examples are presented to confirm the numerical efficiency and theoretical justification of the proposed scheme. Our numerical scheme has an exponential rate of convergence, which means that one can achieve a very accurate solution using a few collocation points, as opposed to the other available techniques which are very slow in terms of convergence and consume a lot of time. In order to further validate the accuracy of our numerical method, a comparison is made with the exact solution using different norms.

Aligned porous Chitosan/Ti3C2 MXenes monolith as a high-performance fixed-bed separation medium toward globular albumin separation

Designing and tuning macropores into aligned structure is of considerable importance in promoting mass transfer, improving chromatographic performance and enhancing column efficiency. Herein, we have synthesized an innovative aligned porous Chitosan/Ti3C2 MXenes monolith via a facile, versatile and reproducible unidirectional “freeze-casting” method. Typically, the accumulation of Ti3C2 MXenes directs the formation of aligned structure during the unidirectional freezing process and thus aligned macropores are formed by a subsequent freeze-drying process. By various physical characterization, the distribution of aligned macropores, micropores and specific surface area are determined to be 21 μm, 2.53 nm and 103.09 m2·g−1, respectively. In addition, monolith bed permeability is calculated to be 1.94 × 10-12 m2, approximately 10 times than conventional monolith. Batch adsorptive experiments confirm that adsorptive capacities to bovine serum albumin and bovine hemoglobin are remarkably elevated on account of the high affinity of proteins onto those imbedding Ti3C2 MXenes. Meanwhile, continuous mass transfer equation describes the aligned macropores facilitate the film mass transfer factor ([kLa]f) in a separation process thus driving the global mass transfer factor ([kLa]g). It is expected that the aligned porous Chitosan/Ti3C2 MXenes monolith promises great potential for a continuous separation of proteins when a wholesale production is required.

Phenomenological modeling of supercritical fluid extraction of oil from Elaeagnus angustifolia seeds

This research addressed the supercritical CO2 (sc-CO2) extraction of Elaeagnus angustifolia oil and its mathematical modeling. After experimental sc-CO2 extraction, the process was modeled based on mass transfer equations. Design of experiments and optimization were accomplished by Box-Behnken design to analyze the effects of the main operational parameters including pressure (20–30 MPa), temperature (313–333 K), and particle size (0.30–1.20 mm). Then, correlation of experimental extraction data with mathematical models was performed. The tunable parameters of the models were obtained by Genetic algorithm (GA) optimization. The model results were compared with experimental findings based on the average absolute relative deviation. The highest extraction yield (84.9% w/w) was achieved at the optimum conditions involving the pressure, temperature, and particle size of 30 MPa, 323 K, and 0.30 mm, respectively.The results obtained from the analysis of variance (ANOVA) indicated high and acceptable accuracy of mathematical models for the supercritical extraction process.

Heat Transfer Analysis of Silver-water Nanofluid Flow over Stretching Cylinder Subjected to Multiple Convective Conditions over Stretching Sheet and Stretching Cylinder

Tiny particles are essential in electronics, heat exchangers, nanotechnology, and materials science because of their exceptional thermal conductivity and unique properties. The study investigate the MHD flow over a stretching cylinder containing silver-water nanofluid in the presence of a magnetic field under multiple convective boundary conditions over stretching sheet and stretching cylinder. A system of PDEs is reduced to a solvable system of ODEs by applying a suitable similarity transformation. We employ the Runga Kutta method along with shooting procedure to solve the flow, heat, and mass transfer equations along with boundary conditions. The results obtained from MATLAB codes are compared with previously published results of the same nature in limiting case. In this model, we made a comparison between the stretching cylinder and a flat sheet and those are represented via graphically. Numerical results of skin-friction coefficient and local Nusselt are systematized in the form of tables for sheet and stretching cylinder. The plots illustrate the effect of different dimensionless parameters on velocity, temperature, and concentration profiles. Significant role of Biot number on temperature and concentration profile was observed. Nusselt number increases with Bi and Pr but decreases with M. The skin friction is enhanced with M but decrease with \(\lambda\)

The Flow of a Thermo Nanofluid Thin Film Inside an Unsteady Stretching Sheet with a Heat Flux Effect

This research investigated the flow and heat mass transmission of a thermal Buongiorno nanofluid film caused by an unsteady stretched sheet. The movement of the nanoparticles through the thin film layer is caused by the strength of the heat flow and the stretching force of the sheet working together. The thermal thin-film flow and heat mechanism, and the properties of mass transfer along the film layer, were comprehensively investigated. The consequences of the heat generation, magnetic field, and dissipation phenomenon were also thoroughly examined. Using appropriate dimensionless variables, the fundamental time-dependent equations of thin film nanofluid flow and heat mass transfer were modeled and converted to the ordinary differential equations system. Mathematica version 12 is the software that was used to build the numerical code here. Next, the shooting technique was applied to numerically solve the transformed equations. The elegance of the shooting technique and evidence of the consistency, dependability, and precision of our acquired results is that the results are more effective than those for the thin film nanofluid equations that are now available. There is a significant degree of consistency between the recently calculated results and the results that have been published for a limiting condition. Investigations were conducted into the effects of a variety of parameters on the flow of nanoliquid films, including the Nusselt number, skin friction, and Sherwood number. In addition, a detailed overview of the physical embedded parameters is provided through graphs and tables. However, the important features of the most relevant outcomes are the effects of higher porous and unsteadiness parameters on minimizing the thickness of the thin film; and the viscoelastic parameter has the reverse effect. Additionally, it is seen that the temperature profile improves as a result of higher thermophoresis and Brownian motion parameter values.

Performance, energy and economic investigation of airgap membrane distillation system: An experimental and numerical investigation

Airgap membrane distillation (AGMD) is an efficient configuration employed widely for the solar membrane distillation desalination process. In the present work, 1-D Knudsen and molecular transport (KMT) model has been developed to investigate the performance of the flat sheet PVDF membrane. A new solution algorithm for the co-current and counter-current flow regime has been designed to solve the heat and mass transfer equations iteratively for a single-stage AGMD module. The feed temperature, feed flow rate, airgap size, salinity, membrane porosity and module length were varied and compared with experimental results. The increase in feed temperature from 40 °C to 80 °C resulted in 10.38 times increase in flux for co-current flow and 11.05 times for counter-current flow. The maximum permeate flux at 80 °C was 8.668 kg/m2h and 8.871 kg/m2h for the co-current and counter-current processes, respectively. Optimizing the feed temperature, flow rate, and membrane length using RSM suggests 80 °C, 1.528 LPM and 10 m as the optimum operating condition. An AGMD module of size 0.8 m width and 10 m length under the optimum operating condition exhibited a freshwater yield of 8.73 kg/h by consuming 24.98 kWh/m3 of specific energy, and the water production cost would be around $2.25/m3.

ANALYSIS OF THE ATMOSPHERIC AIR POLLUTION DYNAMICS USING THE METHOD OF NUMERICAL SIMULATION

Problem statement. The task of assessing the level of atmospheric air chemical pollution in the case of an extreme situation resulting in a heptyl spill on the territory of industrial facility is considered. An analysis of the pollution zones formation both at industrial sites and in the residential area located near the industrial facility is conducted. To solve such a problem, it is necessary to develop multifactor mathematical models that allow for the rapid determination of the pollution areas formed in an extreme situation. The purpose of the article. To develop a computer model for operational analysis of pollution areas formed during the emergency emission of chemically hazardous substances into the atmosphere. Methodology. The computer model was developed on the basis of a numerical model, which is a differential analogue of the multifactor kinematic equation for impurities mass transfer in atmospheric air. The mass transfer equation takes into account the three-dimensional field of wind speed, atmospheric diffusion, and the intensity of the chemically dangerous substance release into the air. A four-step finite-difference splitting scheme is used for numerical integration of the three-dimensional mass transfer equation. Determination of the chemically dangerous substance concentration at each cleavage step is implemented according to an explicit formula. An empirical dependence is used to calculate the emission intensity of a chemically hazardous substance from the emergency spill zone. Scientific novelty. A numerical model was developed and its software implementation was conducted for the operational analysis of the formation of accidental pollution areas in the atmosphere. The model takes into account a complex of factors affecting the process of impurity propagation in the atmosphere. Practical value. A program was developed for calculating the dynamics of atmospheric air pollution based on the proposed numerical model. This makes it possible to analyze the consequences of emergency spills on the territory of chemically hazardous objects by the method of a computational experiment. Conclusions. An effective tool for operational analysis of the atmospheric air pollution level due to the emission of chemically hazardous substances is created. The results of the computational experiment are presented.

Effects of Double-Diffusive Convection on Calculation Time and Accuracy Results of a Salt Gradient Solar Pond: Numerical Investigation and Experimental Validation

The main aim of this study is to investigate numerically and experimentally the effects of double-diffusive convection on calculation time and accuracy results of a Salt Gradient Solar Pond (SGSP). To this end, two-numerical models are developed based on the Fortran programming language. The first one is based on energy balance neglecting the development of double-diffusive convection, while the second is two-dimensional and is based on Navier-Stokes, heat, and mass transfer equations considering the development of double-diffusive convection. The heat losses via the upper part, bottom, and vertical walls, as well as the internal heating of saltwater, are considered. In order to validate and compare both numerical models, a laboratory-scale SGSP is designed, built, and tested indoors for 82 h. Results indicate that the two numerical models developed can predict the SGSP thermal behavior with good accuracy. Furthermore, the average relative error between experimental and numerical results is around 9.39% for Upper Convective Zone (UCZ) and 2.92% for Lower Convective Zone (LCZ) based on the first model. This error reduces to about 5.98% for UCZ and 3.74% for LCZ by using the second model. Consequently, the neglect of double-diffusive convection in the SGSP modeling tends to overestimate the thermal energy stored in the storage zone by about 4.3%. Based on the calculation time analysis, results show that the second model returns a calculation time hundreds of times larger than the first one and, accordingly, an increase in computational cost.

Analytical solution for heat and mass transfer in desiccant coated heat exchangers

• Heat and moisture transfer in a desiccant-coated heat exchanger (DC-HX) is studied. • A new closed-form analytical solution is proposed. • Linear and exponential profiles are assumed for air temperature and humidity ratio. • A new DC-HX coated with AQSOA™-FAM-Z02 is also fabricated and tested. Due to the complicated nature of desiccant-coated heat exchangers (DC-HXs), solving the highly-coupled transient heat and mass transfer equations using numerical simulations are rather time-consuming and as a result may be impractical for real-time system optimization and seasonal simulations. On the other hand, the approach of majority of studies associated with DC-HXs is numerical and experimental analyses and there is no analytical model that can accurately predict the heat and moisture transfer in a DC-HX in the literature. Thus, in this paper, a new closed-form analytical solution is proposed to accurately predict the heat and moisture transfer in a DC-HX for the first time. The governing equations are simplified to a set of linear ordinary differential equations with initial conditions and then solved analytically. In the present analytical model, both linear and exponential profiles are assumed for the air temperature and humidity ratio along the DC-HX and the results are compared to experimental data collected in our lab. A new DC-HX coated with AQSOA™-FAM-Z02 is also fabricated and tested in our custom-built testbed under a wide range of operating conditions for model validation and performance assessment. Our results indicate that the present analytical solution with exponential profile assumption predicts the experimental data with an average relative difference of less than 10%, while the linear profile assumption results in a relative difference of ∼ 20% with the experimental data. The new analytical solution is capable of predicting the performance of DC-HXs, which is crucial for design, optimization and operating dehumidification systems in a variety of applications.