Data Center Thermal Management Using Dynamic Airflow Control
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Solution Overview
Problem
Conventional data center cooling systems are inefficient as they are provisioned for peak load scenarios, leading to excessive energy usage since they typically operate at a fraction of their capacity.
Innovation Solution
A system and method for thermally managing a data center by controlling air moving devices to maintain predetermined temperature ranges, minimizing energy usage by restricting high-energy actuators to situations where lower temperatures are needed and using lower-cost actuators when temperatures are within set ranges, while varying airflow temperature and rate based on detected conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cooling systems are provisioned for peak load scenarios, then reliability is improved, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts cooling capacity by transitioning between different cooling modes (natural convection, forced convection with fans, and refrigeration cycle) based on real-time temperature sensor feedback. This dynamic adaptation allows the system to provide adequate cooling reliability when needed while minimizing energy consumption during normal operating conditions.
Solution Approach 2:
The system changes operational parameters by adjusting fan speeds, refrigeration cycle activation, and air flow rates based on detected temperature conditions. This parameter adjustment enables the system to match cooling output to actual thermal loads, avoiding the energy waste of running at peak capacity continuously.
2Manufacturing precision
If high-energy actuators are used to maintain lower temperatures, then temperature control precision is improved, but energy usage increases
Solution Approach 1:
The system applies different cooling intensities to different zones based on local temperature conditions. Temperature sensors detect conditions in specific areas, and the control system activates only the necessary cooling actuators (natural convection, fans, or refrigeration cycle) in those specific zones, rather than applying maximum cooling uniformly throughout the data center.
Solution Approach 2:
The system uses periodic temperature monitoring and conditional actuator activation. High-energy actuators (refrigeration cycle) are activated only periodically when temperature thresholds are exceeded, rather than continuously. This periodic action maintains temperature precision when needed while minimizing overall energy consumption.
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 reduces energy consumption by optimizing the operation of air moving devices, ensuring efficient cooling while minimizing energy expenditure by using high-energy actuators only when necessary and adjusting airflow characteristics within set temperature ranges.
Implementation Method 1
air moving device to move air from a first location to a second location
Implementation Method 2
Air conditioning units are typically used to cool heated air and to supply the cooled air to the computer systems
Data Source
AI summary
In a method for thermally managing a room with at least one air moving device having a temperature actuator and an airflow rate actuator, a temperature of airflow at a first location in the room is received and compared with a first predetermined temperature range and a second predetermined temperature range. In the method, one of the temperature actuator and the airflow rate actuator is varied when the received temperature of the airflow is outside of the first predetermined temperature range and the other of the temperature actuator and the airflow rate actuator is varied when the received temperature of the airflow is within the first predetermined temperature range and outside of the second predetermined temperature range.