Accueil » Data center » Climate engineering of data centers » Data center – DC17 – Internal
Data center – DC17 – Internal
Study of thermo-aerodynamic flow conditions in a data center room
EOLIOS Ingénierie provided an overview of the thermo-aerodynamic conditions of the various phenomena taking place in the data center room in relation to IT processes and climate control systems.
Data center - DC17 - Internal
Year
2022
Customer
NC
Location
Spain
Typology
NC
Continue navigation :
Our other projects :
Latest news :
Project description
How does EOLIOS optimize data centers using CFD?
The challenge of such a project being the control of the particular thermo-aeraulic phenomena induced by the presence of hot aisles and cold aisles, as well as the evaluation of the efficiency of the air circulation which aims to server cooling.
CFD studies have made it possible to visualize the different thermo-aeraulic phenomena of different cases of rebreather shutdown, which has allowed the optimization of HVAC treatment systems.
The digital twin of the datacenter studied in CFD includes air volumes, all server lines, lighting and material conductivity.
All HVAC systems are modeled.
Diffusion grids have been precisely modeled to obtain accurate airflow within the different air aisles.
The creation of a highly detailed digital twin allows us to perform highly accurate calculations and thusquickly identify potential thermal problems.
By analyzing these results from a global or local perspective, we were able to propose solutions adapted to the various problems encountered.
Digital twin support model
Understanding thermo-aerodynamic phenomena inside the data center
CFD study of datacenter cooling systems: precise results thanks to fine resolution
All the servers could be modeled in CFD.
Rebreathers, lighting, calorie extraction type fans, equipment systems and electrical power cabinets are precisely integrated into the study. The fineness of CFD resolution makes it possible to obtain a distribution of complex temperatures but in the end very close to real conditions of use .
The speeds and temperature distributions at the recycler outlet, as well as the speeds and effects of heat exchanges in the hot and cold aisles could be captured with great precision.
The first simulations enabled us to understand the main thermal phenomena inherent in data centers and their cooling systems.
Understanding these phenomena enabled us to quickly verify that the flow did not present any particular problems.
The use of 3D models during the research phase made it possible toevaluate the energy consumption of the various recyclers and thus to size their inputs.
Searching for hot spots and extreme scenarios
What can digital data center modeling contribute to the design phase?
Digital data center modeling enables designers to better predict the performance and behavior of systems and components in the data center.
It also enables different hardware and software configurations to be tested to ensure that they function correctly and are optimized for a specific use.
Numerical modeling also offers a better understanding of current practices and future trends, enabling designers to make informed decisions when developing data centers.
In this way, the simulation CFD is a outit puissant for to detect hot spots in the event of an extreme scenario(heatwave, faulty air-conditioning systems, etc.).. Elthe permet from simuler the comportement from fluides and the morvement from l‘air à l‘intérieur from data center, at prenant at compte from facteurs tels that l‘emplacement from entrées and from spellies d‘air, the température and the vitesgo to from l‘air ambiant and the configuration and the tailthe from équipements. Visit analyseant visit rsultats obtenus, it is possible from recherdear visit hot spots of aeraulic origin, their sources and consequences.
What can digital data center modeling do for design?
CFD simulations were used to represent the temperature zones at all points in the space, providing precise information on the dynamics of hot air expulsion and the zones where the temperature was higher.
These studies showed that the thermo-aerodynamic dynamics were sufficient to keep the aisles warm at the target temperature.
Finally, a transient study was carried out to assess the temperatures close to the servers when a power cut occurs and the generator is switched on.
This temporal study makes it possible toaccurately analyze whether the temperature during the time between the power cut and the restart of the ventilation systems damages the electronic equipment.
Integrating CFD simulation into your design protocol means integrating a team of professionals with different perspectives in the search for solutions, thus guaranteeing the safety and reliability of your studies.
Study of air speeds for different extreme scenarios
Continue on this topic
Video summary of the study
EOLIOS optimise visit data centers at utilisant the CFD (Computational Fluid Dynamics) for analyseer and optimiser the flows d‘air à l‘intérieur from center from donationnées. Visit CFD permet from simulate real-life conditions from l‘atvironnement, at holding compte from becauseactéristiques from l‘espace and from the configuration from équipements, afin from diceterminer visit points chauds and visit points froids dyears the center from donationnées. Visit utilisant cette technologie, EOLIOS peut aider visit organizations à reduce operating costs at améliorant l‘efficacity and at refromisant visit reefques from onchatffe and from dicefaillance matérielthe, this which contribue à improve reliability from services and à maximiser the disponibilité.
Discover other projects
Data Center – DC28 – Internal
Pressure loss study – Generator – Data center
Data Center – PA 22 – External
Technical premises – Data Center
Cooling optimization – Data Center
Data Centers – DC15.1 & DC15.2 – External
Data Center – Paris
Data Center – GAZ NOVEC
CFD-Data Center – Saint Denis
Data center – DC25 – Internal
Data center – DC17 – Internal
Data Center – DC10 – Internal
Data center – DC25 & DC26 – External
Data center – D14 – External
Data center – DC17 – External
DC23 – External