Numerical Optimization of Double-Diffusive Mixed Convection in a Rectangular Enclosure With a Reactant Fluid

Ovando-Chacon, Guillermo Efren; Ovando-Chacón, Sandy Luz; Prince-Avelino, Juan C.; León, Abelardo Rodríguez; Garcia-Arellano, Christian

doi:10.1615/heattransres.2017016747

Cited by 3 publications

(2 citation statements)

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“…The numerical code was developed using the Fortran programming language, in the thermofluid group of the Technological Institute of Veracruz. The numerical code has previously been used to solve various thermofluid problems [ 40 , 41 , 42 , 43 ].…”

Section: Methodsmentioning

confidence: 99%

Computational Study of Thermal Comfort and Reduction of CO2 Levels inside a Classroom

Ovando-Chacon

León

Ovando-Chacón

et al. 2022

IJERPH

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Due to the current COVID-19 pandemic, guaranteeing thermal comfort and low CO2 levels in classrooms through efficient ventilation has become vitally important. This study presents three-dimensional simulations based on computational fluid dynamics of airflow inside an air-conditioned classroom located in Veracruz, Mexico. The analysis included various positions of an air extractor, Reynolds numbers up to 3.5 × 104, four different concentrations of pollutant sources, and three different times of the day. The simulations produced velocity, air temperature, and CO2 concentrations fields, and we calculated average air temperatures, average CO2 concentrations, and overall ventilation effectiveness. Our results revealed an optimal extractor position and Reynolds number conducive to thermal comfort and low CO2 levels due to an adequate ventilation configuration. At high pollutant concentrations, it is necessary to reduce the number of students in the classroom to achieve safe CO2 levels.

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Section: Methodsmentioning

confidence: 99%

Computational Study of Thermal Comfort and Reduction of CO2 Levels inside a Classroom

Ovando-Chacon

León

Ovando-Chacón

et al. 2022

IJERPH

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“…In general, most thermal systems are analyzed from the point of view of the first law of thermodynamics, and their design is based on this principle; however, another important consideration is the efficient use of thermal energy. It is, therefore, necessary to study the entropy created by viscous friction and heat transfer in terms of physical and geometric aspects of the device in order to minimize entropy generation and to establish optimal operating conditions to reduce irreversibilities [ 23 , 24 , 25 ]. Different studies have already focused on nanofluids in different thermal devices with different configurations and operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Numerical Study of Nanofluid Irreversibilities in a Heat Exchanger Used with an Aqueous Medium

Ovando-Chacon¹,

Ovando-Chacón

León³

et al. 2020

Entropy

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Heat exchangers play an important role in different industrial processes; therefore, it is important to characterize these devices to improve their efficiency by guaranteeing the efficient use of energy. In this study, we carry out a numerical analysis of flow dynamics, heat transfer, and entropy generation inside a heat exchanger; an aqueous medium used for oil extraction flows through the exchanger. Hot water flows on the shell side; nanoparticles have been added to the water in order to improve heat transfer toward the cold aqueous medium flowing on the tube side. The aqueous medium must reach a certain temperature in order to obtain its oil extraction properties. The analysis is performed for different Richardson numbers (Ri = 0.1–10), nanofluid volume fractions (φ = 0.00–0.06), and heat exchanger heights (H = 0.6–1.0). Results are presented in terms of Nusselt number, total entropy generation, Bejan number, and performance evaluation criterion. Results showed that heat exchanger performance increases with the increase in Ri when Ri > 1 and when reducing H.

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Numerical Study of Indoor Air Quality in a University Professor’s Office

et al. 2023

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Indoor air conditioning is currently a topic of much interest, not only to save energy but also due to public health issues such as pandemics. This study focuses on the thermal comfort and air quality of a closed, air-conditioned space located in an extremely hot climate. Due to noise and weather conditions, the door and window of the space are kept closed at all times. The study uses computational fluid dynamics techniques and the finite element method. Average temperatures and CO2 concentrations, as well as effectiveness for temperature and concentration distribution, are calculated for the analysis. Results indicate that supplying air away from hot walls improves air quality and thermal comfort. Furthermore, there is an optimal Reynolds number that depends on the number of people inside the space. Due to the above, it is possible to find an ideal configuration that simultaneously allows for efficient energy use, helps to avoid the adverse effects of CO2 on daily activities such as working or studying, and supports people’s health and comfort.

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Numerical Optimization of Double-Diffusive Mixed Convection in a Rectangular Enclosure With a Reactant Fluid

Cited by 3 publications

References 0 publications

Computational Study of Thermal Comfort and Reduction of CO2 Levels inside a Classroom

Computational Study of Thermal Comfort and Reduction of CO2 Levels inside a Classroom

Numerical Study of Nanofluid Irreversibilities in a Heat Exchanger Used with an Aqueous Medium

Numerical Study of Indoor Air Quality in a University Professor’s Office

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