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Orientador(es)
Resumo(s)
The processing efficacy and energy efficiency of data centers (DC) is directly related with the cooling
performance of the air-conditioning systems. The cooling effectiveness depends on airflow pattern
and temperature distribution. This paper presents the parametric study of three-dimensional (3D)
computational fluid dynamics (CFD) models to improve these technical characteristics. In this case
study the most suitable thermal load, as deemed by the organization, of the heat flow boundary
condition is simulated and studied for maximum and minimum airflow. The analysis of the numerical
results provides a prediction of the thermal performance, i.e., the lower values and spatial gradients
(hot spots) of air temperature and velocity while maintaining the computational processing
requirements. These results allow the development of an optimized CFD model for setting up the
operational parameters of CRAC systems for DC rooms.
Descrição
Palavras-chave
Computational Fluid Dynamics Computer Room Air Conditionings Data Centers Airconditioning Systems Hot Spots Energy Efficiency
Contexto Educativo
Citação
Editora
The 25th IIR International Congress of Refrigeration (ICR 2019)