Abstract
This article is focused on the research of passive cooling beams and increasing their cooling capacity. A passive cooling beam with four tubes was chosen as a model. A mathematical model was built using the corresponding criterion equations to capture the behavior of a passive cooling beam. This mathematical model can be used to optimize geometrical parameters (the distance between the ribs, rib height and thickness, and diameter and number of tubes), by changing these geometric parameters we can increase the cooling performance. The work includes a mathematical model for calculating the boundary layer, which has a significant influence on the cooling performance. The results obtained from the created mathematical model show that the model works correctly and can be used to optimize the cooling performance of passive cooling beams. To better understand the behavior of a passive cooling beam in a confined space, the entire device was numerically simulated, as was the flow in the intercostal space.
Highlights
Changing the height of the ribs from 50 to 100 mm resulted in a cooling power of 269.89 W, which is the maximum possible cooling power from altering the height of the ribs
We observed that the increase in cooling power achieved by increasing the rib height to 60 mm was negligible
The simulation results
Summary
Thermal comfort is one of the most important phenomena of an environment for well-being, such as well-being at work and, the performance of people at work. Such a problem is addressed in this work, as in [12], in which the effect of thermal load on the performance of a cooling convector was simulated. This research mainly addressed the issue of optimizing the design parameters of ceiling passive cooling convectors with respect to maximizing the cooling capacity. For similar designs of passive ceiling cooling beams from different manufacturers [13,14,15,16], analysis was performed in terms of their specific power per meter of convector length. Simulation programs were created from the aforementioned models, on the basis of which the effects of various design parameters on the cooling capacity of passive ceiling cooling convectors were analyzed. Based on the simulation calculations, it was determined how changes in fin spacing, fin height, fin thickness, tube diameter and the number of tubes affected the cooling capacity
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