Intelligent Cooling Controller for Variable Server Coolant Flow

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Solution Overview

Problem

Conventional cooling technologies for electronic equipment in server racks are inefficient and wasteful, particularly when server load is low, leading to excessive power consumption by fans or pumps maintaining constant flow rates.

Innovation Solution

A power management system with a coolant distribution loop, flow-adjustable coolant circulation device, and power control unit that dynamically adjusts coolant flow based on temperature and power consumption data to optimize energy use and maintain safe operating temperatures.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If constant flow rate of coolant is maintained to ensure efficient cooling during peak server loads, then cooling effectiveness is improved, but power consumption of the circulation device increases excessively during low load periods

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

Solution Approach 1:

The patent implements dynamic flow rate adjustment of the coolant circulation device based on real-time server load conditions. The system transitions from constant flow rate to variable flow rate operation, where the circulation device adjusts its operation mode (e.g., speed, pump rate) according to the thermal load requirements, thereby optimizing the balance between cooling effectiveness and energy consumption.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system employs feedback mechanisms where temperature sensors and power monitoring devices provide real-time data about server thermal conditions and power consumption. This feedback information is processed by a controller that adjusts the coolant circulation device's flow rate accordingly, creating a closed-loop control system that optimizes cooling performance relative to actual thermal demands.

Inventive Principle:
Principle #23Feedback

2Power

If powerful fans are used to disperse heat in air-cooling systems, then heat dissipation capability is improved, but space requirements and device complexity increase

Engineering Contradiction:
Improveheat dissipation capabilityVSAvoidspace requirements
Core Design Contradiction:
PowerVSDevice complexity

Solution Approach 1:

The patent transitions from air-cooling to liquid-cooling technology, utilizing hydraulic principles to transfer heat more efficiently. Liquid coolant circulating through channels in close thermal contact with heat-generating components provides superior heat transfer performance compared to air, enabling effective cooling with reduced fan power and compact design.

Inventive Principle:
Principle #29Pneumatics and hydraulics

Solution Approach 2:

The system changes the cooling medium parameter from gas (air) to liquid (coolant), fundamentally improving heat transfer efficiency. This parameter change allows for more compact heat exchange components and reduced airflow requirements, thereby decreasing the space and complexity needed for effective heat dissipation.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If liquid-cooling units are mounted on heat-generating components to improve cooling efficiency, then heat transfer effectiveness is improved, but the specific heat capacity of water and limited contact area impose limits on cooling performance

Engineering Contradiction:
Improveheat transfer effectivenessVSAvoidcooling performance limits
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent extends the heat transfer interface from the traditional two-dimensional contact area between liquid cooling units and processor surfaces to a three-dimensional thermal management system. This includes implementing thermal vias, heat pipes, and extended heat exchange surfaces that leverage volumetric heat transfer pathways, thereby overcoming the limitations of surface area constraints.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The system employs composite thermal management approaches combining different heat transfer mechanisms and materials. This includes using high-thermal-conductivity materials for heat pipes and thermal interface materials, combining phase change mechanisms with forced convection, and integrating multiple heat exchange stages to surpass the cooling performance limits imposed by water's specific heat capacity alone.

Inventive Principle:
Principle #40Composite materials

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

The system reduces overall power consumption while ensuring optimal thermal management by dynamically adjusting coolant flow rates, using static or machine learning models to balance energy efficiency and cooling effectiveness.

Implementation Method 1

a coolant circulation flow device configured to adjust a flow rate of the coolant conveyed in the coolant distribution loop to the cooling blocks

Methodology Applied
Scientific EffectFluid flow control:

Implementation Method 2

cooling blocks, the power management system comprising: a coolant distribution loop configured to convey coolant supplied to the cooling blocks

Methodology Applied
Scientific EffectThermal conduction: Conduction (thermal)

Implementation Method 3

Heat is absorbed by water flowing between these liquid-cooling units and heat exchange components located outside of the racks

Methodology Applied
Scientific EffectHeat absorption: Absorption (physical)

Data Source

PatentUS20250248009A1Intelligent cooling management controller
Publication Date: 2025.07.31 OVH
  • US20250248009A1 patent drawing
  • US20250248009A1 patent drawing
  • US20250248009A1 patent drawing

AI summary

The present invention describes an intelligent power management system designed for optimizing energy use in data center server assemblies. It can use various coolants, like liquid or gas, and adjusts to changing processor loads. The system integrates a coolant loop, a variable flow coolant circulator, and an advanced control unit. The advanced control unit dynamically regulates coolant flow, server temperature, and total power consumption, and receives temperature data from each server's baseboard management controller and power data from a power distribution unit. The advanced control unit computes the best coolant flow rate to minimize total power use while keeping server temperature below a safety limit, and uses either a static or a machine learning model with reinforcement learning and a reward mechanism to enhance real-time calculations and overall efficiency over time.