Data Center Cooling System Using Dynamic Approach Temperature Control

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Solution Overview

Problem

Data centers face high energy costs due to both powering and cooling thousands of microprocessors, with existing cooling systems often insufficient to maintain optimal temperatures, especially when outdoor conditions change.

Innovation Solution

A data center cooling system that circulates heated air from electronic equipment through cooling coils, using a controller to maintain a specific approach temperature set point by modulating control valves and fan speeds, allowing for dynamic adjustment based on ambient conditions and cooling fluid availability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If traditional cooling systems are used to cool data centers, then cooling capacity is provided, but energy consumption increases and cooling effectiveness is insufficient under varying ambient conditions

Engineering Contradiction:
Improveenergy consumptionVSAvoidcooling effectiveness
Core Design Contradiction:
Loss of energyVSReliability

Solution Approach 1:

The system dynamically adjusts the approach temperature setpoint for each cooling unit based on real-time ambient conditions and cooling fluid availability. Instead of using fixed temperature setpoints, the controller continuously modifies the approach temperature (difference between leaving air temperature and entering cooling fluid temperature) to optimize the balance between energy consumption and cooling effectiveness under varying operating conditions.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes the operational parameters of cooling units by adjusting approach temperature setpoints rather than maintaining fixed temperatures. This parameter change allows the system to adapt to varying ambient conditions and cooling fluid availability, improving both energy efficiency and cooling reliability simultaneously.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If cooling fluid is increased to maintain temperatures under hot ambient conditions, then cooling reliability improves, but energy consumption for pumping and circulating fluid increases

Engineering Contradiction:
Improvetemperature maintenanceVSAvoidpumping energy
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system dynamically adjusts approach temperature setpoints based on ambient conditions and cooling fluid availability. When ambient temperatures are high or cooling fluid is limited, the controller modifies the approach temperature to maintain adequate cooling while avoiding excessive pumping energy consumption, achieving a dynamic optimization between reliability and energy use.

Inventive Principle:
Principle #15Dynamics

3Reliability

If fixed temperature setpoints are used for cooling units, then system operation is simple, but cooling effectiveness decreases when ambient conditions change

Engineering Contradiction:
Improvecooling effectivenessVSAvoidcontrol system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system transitions from fixed temperature setpoints to dynamic approach temperature setpoints that automatically adjust with ambient conditions. The controller monitors cooling fluid availability and ambient temperature, then modifies each cooling unit's approach temperature setpoint accordingly, maintaining cooling effectiveness without requiring complex manual intervention.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system uses feedback from ambient condition sensors and cooling fluid availability monitoring to automatically adjust approach temperature setpoints. This feedback mechanism allows the control system to adapt to changing conditions while maintaining relatively simple operation, as the adjustments are made automatically based on measured parameters.

Inventive Principle:
Principle #23Feedback

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 cooling fluid allocation and temperature control, ensuring adequate cooling while minimizing energy use and equipment failures due to overheating.

Implementation Method 1

circulates air that has been heated by computers into the racks, through cooling coils in the cooling units

Methodology Applied
Scientific EffectHeat transfer: Heat Exchanger

Data Source

PatentEP2834569B1Controlling data center cooling
Publication Date: 2019.12.18 GOOGLE LLC
  • EP2834569B1 patent drawingFigure 1A
  • EP2834569B1 patent drawingFigure 1B
  • EP2834569B1 patent drawingFigure 2A~2B

AI summary

A data center cooling system includes a data center having electronic equipment that is supported in multiple racks; a cooling fluid source; multiple cooling units in the data center, where each cooling unit is configured to cool air warmed by a sub-set of the electronic equipment in the data center; multiple control valves, including a control valve associated with a particular cooling unit of the cooling units; and a controller arranged to modulate the control valve associated with a particular cooling unit, to open or close the control valve to substantially maintain an approach temperature set point of the particular cooling unit.