Cooling Unit Configuration Switching for Lower Data Center Energy Use

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Solution Overview

Problem

Existing cooling systems in data centers face inefficiencies in energy consumption due to varying ambient temperatures and cooling demands, leading to suboptimal operation and high energy costs.

Innovation Solution

A method and system for optimizing the operation of multiple cooling units by determining a more energy-efficient configuration based on current and predicted energy consumption, adjusting the number and mode of operation of cooling units, including compressor, pump, and mixed modes, using a control device and computer-executable instructions to switch to a more efficient configuration.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If more cooling units are operated to meet cooling demand, then cooling reliability is improved, but energy consumption increases

Engineering Contradiction:
Improvecooling reliabilityVSAvoidenergy consumption
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system dynamically adjusts the configuration of cooling units based on real-time ambient temperature and cooling demand conditions. The controller continuously monitors environmental parameters and automatically switches between different operating configurations (full compressor mode, mixed mode, full pump mode) to optimize the balance between cooling reliability and energy consumption.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The invention changes the operational parameters of cooling units by transitioning between different modes (compressor mode, pump mode, mixed mode) based on ambient temperature thresholds and cooling requirements. This parameter adjustment allows the system to maintain adequate cooling capacity while minimizing energy consumption in varying environmental conditions.

Inventive Principle:
Principle #35Parameter changes

2Temperature

If cooling units operate in compressor mode to meet high ambient temperature requirements, then cooling capability is improved, but energy consumption increases

Engineering Contradiction:
Improvecooling capabilityVSAvoidenergy consumption
Core Design Contradiction:
TemperatureVSUse of energy by moving object

Solution Approach 1:

The system dynamically switches between compressor mode and pump mode based on ambient temperature conditions. At high ambient temperatures, the system uses compressor mode to ensure adequate cooling capability. As ambient temperature decreases, the system transitions to mixed mode or full pump mode to reduce energy consumption while maintaining required cooling levels.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The invention changes the operational state of cooling units from high-energy compressor mode to lower-energy pump mode based on ambient temperature parameters. This parameter transition allows the system to adapt cooling capability to environmental conditions while optimizing energy consumption.

Inventive Principle:
Principle #35Parameter changes

3Stability of the object's composition

If the cooling system operates statically without reconfiguration, then system stability is improved, but energy efficiency deteriorates

Engineering Contradiction:
Improvesystem stabilityVSAvoidenergy efficiency
Core Design Contradiction:
Stability of the object's compositionVSUse of energy by moving object

Solution Approach 1:

The controller continuously monitors ambient temperature and cooling demand, using this feedback to determine when to switch between different cooling unit configurations. This feedback mechanism allows the system to maintain stability through controlled transitions rather than random changes, optimizing energy efficiency while preserving system stability.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs periodic evaluation of operating conditions and makes configuration changes at appropriate intervals. Rather than continuous switching, the controller assesses whether reconfiguration is beneficial based on sustained changes in ambient temperature and cooling demand, maintaining stability while improving energy efficiency.

Inventive Principle:
Principle #19Periodic action

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 enables dynamic and responsive energy-efficient operation of cooling systems, reducing energy consumption by identifying and utilizing optimal configurations in response to changes in ambient temperature and cooling requirements, thereby enhancing energy efficiency and reliability.

Implementation Method 1

a compressor configured to increase the pressure of refrigerant in a refrigerant circuit

Methodology Applied
Scientific EffectCompression: Compression

Implementation Method 2

a pump configured to move the refrigerant around the refrigerant circuit

Methodology Applied
Scientific EffectPumping: Pump

Implementation Method 3

cooling units configured to cool the air of the data centre through removing heat from this air and transferring the heat out of the data centre

Methodology Applied
Scientific EffectHeat transfer: Heat Exchanger

Data Source

PatentUS20250351311A1Optimising operation of cooling units
Publication Date: 2025.11.13 VERTIV SRL
  • US20250351311A1 patent drawing
  • US20250351311A1 patent drawing
  • US20250351311A1 patent drawing

AI summary

A method for optimising operation of a plurality of cooling units, a control device, a cooling system, and a computer-readable medium are provided. The method includes obtaining a current energy consumption of a first configuration of the plurality of cooling units where a first number of the plurality of cooling units are active. The method includes determining a predicted energy consumption of a second configuration of the plurality of cooling units where a second number of the plurality of cooling units are active, and where one or more of the second number of the plurality of cooling units operates in an altered mode of operation relative to the first configuration. The method includes generating, in response to determining that the predicted energy consumption is lower than the current energy consumption, a computer-executable instruction configured to cause the plurality of cooling units to operate according to the second configuration.