Software-Defined Cooling Structures for Adaptive Thermal Control
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Solution Overview
Problem
Conventional cooling solutions for data centers are statically configured and fail to adapt to varying workloads and operational phases, leading to inefficient energy consumption and potential component stress, particularly in high-performance computing environments with diverse and dynamic thermal demands.
Innovation Solution
Implementing software-defined cooling (SDC) structures with movable cooling components and a motion control system that dynamically reposition cooling elements based on sensor data and predicted workloads, allowing for precision cooling and power distribution across different zones within a device chassis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional statically configured cooling solutions are used, then device complexity is reduced and ease of manufacture is improved, but adaptability to varying workloads deteriorates and energy efficiency worsens
Solution Approach 1:
The cooling system transitions from a static configuration to a dynamic one where cooling components can be repositioned based on thermal conditions and workload demands. The motion control system enables continuous adjustment of cooling element positions to match changing thermal profiles of electronic components during different operational phases.
Solution Approach 2:
The cooling system is divided into multiple independently controllable cooling components that can be selectively positioned and activated. Each cooling element can be independently controlled by the motion control system to target specific thermal zones, allowing precise thermal management without requiring complete system reconfiguration.
2Loss of energy
If statically configured cooling solutions are used, then manufacturing simplicity is maintained, but energy consumption increases due to inability to adapt to varying workloads
Solution Approach 1:
The cooling system operates in periodic cycles where the motion control system monitors thermal conditions and adjusts cooling component positions accordingly. During low-workload periods, cooling elements are repositioned to energy-efficient locations or deactivated, reducing energy consumption while maintaining manufacturing simplicity through standardized motion control mechanisms.
Solution Approach 2:
The system dynamically changes operational parameters such as cooling element position, activation state, and proximity to electronic components based on real-time thermal conditions and workload demands. This allows the system to optimize energy consumption across different operational phases without requiring fundamentally different manufacturing approaches.
3Reliability
If statically configured cooling solutions are used, then system simplicity is maintained, but component stress increases due to inability to respond to thermal demands
Solution Approach 1:
The motion control system continuously monitors thermal conditions of electronic components and uses this feedback to dynamically reposition cooling elements. This closed-loop control ensures cooling capacity is precisely matched to actual thermal demands, preventing both overheating and unnecessary cooling that would increase component stress and reduce lifespan.
Solution Approach 2:
The system proactively positions cooling components in optimal locations before thermal stress becomes critical. By anticipating thermal demands based on workload patterns and pre-positioning cooling elements, the system prevents extreme thermal conditions that would accelerate component degradation.
4Measurement precision
If dynamically repositionable cooling components are implemented, then cooling precision is improved and energy efficiency increases, but device complexity and manufacturing difficulty increase
Solution Approach 1:
The motion control system serves multiple functions including positioning cooling elements, monitoring thermal conditions, and coordinating with workload management. This multi-functionality reduces the need for separate specialized components, thereby improving cooling precision while limiting the increase in manufacturing complexity through consolidated control architecture.
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
Enables adaptive thermal management that optimizes cooling performance, extends hardware lifespan, and reduces energy consumption by dynamically responding to changing thermal and power requirements, thereby enhancing system flexibility and efficiency.
Implementation Method 1
a first portion of the cooling fluid...flows through a first cold plate in thermal communication with a first electronic component...a second portion of the cooling fluid flows through a second cold plate in thermal communication with a second electronic component
Data Source
AI summary
Software defined cooling structures are described. A method comprises decoding sensor data from a sensor of an electronic component of an electronic device, generating a control directive to move a software defined cooling (SDC) structure of a cooling system from a first position to a second position based on the sensor data, moving the SDC structure from the first position to the second position in response to the control directive, the second position to comprise a position within a defined distance to the electronic component of the electronic device, and performing thermal management of the electronic component using the SDC structure. Other embodiments are described and claimed.