Data Centre Cooling Airflow Control for Demand-Matched Cooling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional data center cooling systems are inefficient, often requiring excessive energy to maintain optimal temperatures, and struggle to tailor cooling air delivery to actual server demands, leading to potential overheating and increased power consumption.
Innovation Solution
A method and apparatus that control the rate of cooling air supply to data center IT equipment by measuring airflow between hot and cold regions, using adjustable apertures and variable speed fans to ensure only the necessary amount of cooling air is provided, while maintaining a slight pressure advantage in the cold region to prevent backflow of warm air.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If significantly more cold air is supplied than servers actually need, then servers are prevented from overheating, but energy efficiency deteriorates due to excessive cooling power consumption
Solution Approach 1:
The system dynamically adjusts the cooling air supply rate based on real-time server heat generation. The controller continuously monitors server temperature and heat output, then varies the cooling air flow rate accordingly, transitioning from static over-cooling to dynamic demand-matched cooling. This resolves the contradiction by making the cooling system adaptive rather than fixed.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where temperature sensors monitor server temperature and heat generation, the controller processes this information, and the cooling air supply is adjusted in response. This feedback loop ensures cooling air is supplied only when and to the extent that servers actually need it, preventing both overheating and energy waste from excessive cooling.
2Reliability
If traditional DX or chilled water cooling plants are used with underfloor plenum, then cooling coverage is ensured, but energy efficiency deteriorates due to inability to tailor cooling to actual server demands
Solution Approach 1:
The invention transforms the static cooling plant into a dynamic system that can vary its output. The cooling plant maintains readiness to provide cooling coverage while the controller dynamically modulates the air supply rate based on real-time server demands. This ensures both reliable cooling coverage and energy efficiency by matching supply to actual demand.
Solution Approach 2:
The system changes the operating parameters of the cooling plant based on server conditions. Instead of operating at fixed capacity, the cooling air supply rate is varied as a parameter that responds to server heat generation and temperature conditions. This parameter adjustment allows the system to maintain cooling coverage while reducing energy consumption when full cooling capacity is not needed.
3Use of energy by moving object
If cooling air supply is reduced to match actual server needs, then energy efficiency improves, but risk of server overheating increases if air flow becomes insufficient
Solution Approach 1:
The feedback mechanism continuously monitors server temperature and heat generation, ensuring that cooling air supply is reduced only to the extent that actual demand allows while maintaining safe temperature thresholds. If servers approach critical temperatures, the feedback loop automatically increases cooling air supply, preventing overheating while optimizing energy efficiency under normal conditions.
Solution Approach 2:
The system takes preliminary action by continuously monitoring server conditions and adjusting cooling air supply proactively before overheating occurs. Rather than reacting to critical temperature conditions, the feedback-controlled system anticipates cooling needs and adjusts air flow in advance, ensuring both energy efficiency and temperature safety.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach improves energy efficiency by reducing energy usage in cooling systems, ensuring that only the required amount of cooling air is supplied, thereby minimizing overheating risks and optimizing power consumption.
Implementation Method 1
a source of cooling air, the cooling air having temperature and relative humidity within certain pre-defined limits
Implementation Method 2
measuring the rate of air flow from the cold region to the hot region
Data Source
AI summary
A method of cooling a data centre having at least one hot aisle (145) and at least one cold aisle (144), including the steps of producing cooling air having controlled to have temperature and relative humidity within certain pre-defined limits; supplying the cooling air to a plurality of items of IT equipment (143) located in the data centre between the cold aisle and the hot aisle; measuring the velocity of air flowing from the hot aisle to the cold aisle through an opening (150) between the hot aisle and the cold aisle; and controlling the rate of supply of cooling air to the items of IT equipment in dependence on the velocity of air so measured.