Data Center Vent Tile Control for Rack-Correlated Airflow
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Solution Overview
Problem
Data centers face inefficiencies in cooling systems due to manually adjustable vent tiles that lack remote control capabilities and accurate airflow management, leading to inadequate airflow delivery, re-circulation of heated and cooled airflows, and wasted energy consumption.
Innovation Solution
A method is introduced to correlate vent tiles with racks, determining vent tile families based on their influence and controlling them on a weighted basis to ensure accurate airflow delivery, using algorithms that consider vent tile influence coefficients or opening indices to manage airflow characteristics such as mass flow rate and temperature.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manually adjustable vent tiles are used, then ease of operation is improved, but adaptability and productivity deteriorate due to inability to remotely control and dynamically provision cooling resources
Solution Approach 1:
The patent replaces manual mechanical adjustment of vent tiles with an automated control system that uses sensors, processors, and actuators to dynamically adjust airflow. The system substitutes human operation with electronic control mechanisms including vent tile controllers that receive sensor data and automatically modify vent tile positions based on calculated airflow requirements.
Solution Approach 2:
The control system enables the cooling infrastructure to self-regulate by continuously monitoring airflow conditions through sensors and automatically adjusting vent tile openings based on real-time data. The system serves itself by detecting airflow imbalances and correcting them without manual intervention, dynamically provisioning cooling resources according to actual rack requirements.
2Adaptability or versatility
If automated vent tiles are used without accurate correlation knowledge, then adaptability is improved, but measurement precision and reliability deteriorate due to inability to accurately assess airflow impact
Solution Approach 1:
The patent implements a feedback mechanism where sensors continuously monitor airflow conditions and rack temperature, transmitting this data to controllers that adjust vent tile positions accordingly. The system measures actual airflow impact using sensor arrays and uses this feedback to refine control decisions, creating a closed-loop control system that improves measurement precision through continuous validation and adjustment.
Solution Approach 2:
The patent introduces intermediary computational algorithms and control logic that mediate between raw sensor data and vent tile actuation commands. These intermediaries process sensor readings, calculate airflow impact correlations, and translate measurements into precise control actions, enabling accurate assessment of airflow impact even with distributed sensors.
3Ease of operation
If manual actuation of vent tiles is performed without correlation knowledge, then ease of operation is maintained, but loss of information worsens due to lack of knowledge about airflow delivery impact
Solution Approach 1:
The patent replaces manual vent tile actuation with an automated control system that eliminates the need for operators to understand complex airflow dynamics. The system substitutes human decision-making with computational algorithms that automatically calculate optimal vent tile positions based on sensor data, preventing information loss by encoding airflow delivery knowledge in software rather than requiring human expertise.
4Productivity
If conventional automated vent tiles are used without correlation data, then productivity is improved through remote control, but measurement precision deteriorates due to lack of accurate airflow knowledge
Solution Approach 1:
The patent enhances remote control productivity by implementing feedback loops that continuously measure actual airflow conditions and use this information to refine control decisions. Sensors positioned throughout the data center provide real-time feedback on airflow distribution, allowing the system to maintain high productivity through automated remote control while simultaneously improving measurement precision through continuous validation against actual conditions.
Data Source
AI summary
In a method of controlling vent tiles, the vent tiles are initially correlated with at least one rack. A vent tile family (VTF) of the at least one rack is determined, where the VTF includes vent tiles that have at least a predefined level of influence over the at least one rack as determined by the correlation between the vent tiles and the at least one rack. In addition, a vent control family (VCF) from the vent tiles in the VTF is identified, where the VCF includes vent tiles having an associated at least one rack whose inlet condition is outside of a predefined threshold. Moreover, the vent tiles in the VCF are controlled on a weighted basis determined by the correlation between the vent tiles and the at least one rack.