A new air recirculation system for homogeneous solar drying: Computational fluid dynamics approach

Román-Roldán, N.I.; Ituna-Yudonago, J.F.; López‐Ortiz, Anabel; Rodríguez‐Ramírez, Juan; Sandoval-Torres, Sadoth

doi:10.1016/j.renene.2021.07.134

Cited by 14 publications

(3 citation statements)

References 45 publications

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“…The use of solar energy as an energy saving measure is rapidly gaining acceptance in various areas to meet thermal energy demand. Since it is pollution free and inexpensive source of energy, the implementation of solar drying could aid the reduction of carbon foot print in food processing [ 5 , 6 ]. Solar drying of injera helps to minimize the drawbacks of the traditional dirkosh production.…”

Section: Introductionmentioning

confidence: 99%

Simulation of mixed-mode solar dryer with vertical air distribution channel

Sileshi

Hassen

Adem

2022

Heliyon

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Section: Introductionmentioning

confidence: 99%

Simulation of mixed-mode solar dryer with vertical air distribution channel

Sileshi

Hassen

Adem

2022

Heliyon

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“…In this study, the realizable κ-turbulence model integrated in the FLUENT is used to solve the state equations. This model is semi-empirical; it contains and solves two equations: turbulent kinetic energy (κ) equation and the turbulent dissipation rate ( ) [39].…”

Section: Electric Potential Equationmentioning

confidence: 99%

Geometric Design of a Low-Power Arcjet Constrictor and Determination of Velocity of Air-Based Plasma by Means of Analytical and Numerical Methods

et al. 2023

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The following research focuses on the analytical and numerical study of an arcjet constrictor. In order to perform these analyses, a geometric design of the constrictor was proposed. The analytical study considers mathematical models proposed by Stine and Watson, related to the properties of air propellants, such as the specific enthalpy, electric conductivity, thermal conductivity, and specific heat. The numerical study considered the equations for mass, momentum, energy, and electricity that describe the interaction between the electric arc and the fluid flow. These equations were solved in ANSYS FLUENT software, in which the κ-ϵ turbulence and the magnetohydrodynamic (MHD) models were used. The external routines, including user-defined functions, user-defined scalars, and user-defined memory were implemented in C++ language for source terms and linked to ANSYS FLUENT. The velocity profiles were obtained analytically for the electric arc temperatures of 9000 K, 10,000 K, and 11,000 K with peak magnitudes of 2960 m/s, 3350 m/s, and 3100 m/s, respectively, at the outlet of the constrictor. It was observed from the numerical results that the velocity magnitude of the air-based plasma inside the constrictor increases as the temperature of the electric arc rises up to 10,000 K However, above 10,000 K, the velocity magnitude decreases because at this temperature level, the air particles become completely ionized, and the specific heat of the air-based plasma decreases. The numerical simulation produced velocity profile magnitudes at two different electric arc temperatures (9000 K and 10,000 K) with peak magnitudes of 2400 m/s and 2900 m/s, respectively, at the outlet of the constrictor. The numerical and analytical results were very close with an error of 16.327%.

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“…For example, Kokolj et al [8] adopted a Monte Carlo-based radiation model that enabled numerical evaluations of the baking performance of a forced convection oven, and a linear relationship was established between the oven temperature and the level of bread browning. Román-Roldán et al [9] modeled radiative heat transfer using the discrete ordinate method in a mixed greenhouse food dryer, where solar energy served as the heat source, and the impact of various design features on the airflow and wall temperature distributions were analyzed. However, the time dependence of the wall temperature was not verified.…”

Section: Introductionmentioning

confidence: 99%

Optimized cabinet parameters for drying lithium-ion batteries based on coupled fluid–thermal field analysis

Peng

Wang²,

Shen³

et al. 2023

Front. Phys.

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Hot-airflow desiccation is a commonly applied technique for drying lithium-ion batteries. However, most drying cabinet designs currently suffer from poor efficiency because they evacuate steam by ejecting the hot air in the cabinet to the open air continuously. This can be addressed by closing and opening the cabinet periodically, where the temperature of the heating zone is increased as quickly as possible through internal air recirculation in the closed position, and the steam is ejected with the hot air only during the open period. Nonetheless, drying cabinet designs of this nature have been rarely subjected to numerical analysis based on computational fluid dynamics and heat transfer, and the design factors enhancing the rate of temperature increase during the closed period remain poorly understood. The present work addresses these issues by outlining a detailed numerical approach for simulating the airflow temperature of a drying cabinet during internal air recirculation in its closed position, and the characteristics of the airflow and the temperature distribution in the dryer are evaluated via transient fluid–thermal coupling analysis. The results of the numerical investigation indicate that the heating efficiency is substantially influenced by the inlet airflow velocity, the distance between the trays holding the batteries, and the size of the free space between the front door and the trays. The results demonstrate that the developed model provides a useful means of evaluating and optimizing the heating efficiency of these types of drying cabinets.

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A new air recirculation system for homogeneous solar drying: Computational fluid dynamics approach

Cited by 14 publications

References 45 publications

Simulation of mixed-mode solar dryer with vertical air distribution channel

Simulation of mixed-mode solar dryer with vertical air distribution channel

Geometric Design of a Low-Power Arcjet Constrictor and Determination of Velocity of Air-Based Plasma by Means of Analytical and Numerical Methods

Optimized cabinet parameters for drying lithium-ion batteries based on coupled fluid–thermal field analysis

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