Hybrid Cooling System for Dynamic Thermal Management
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Solution Overview
Problem
Current cooling solutions for data centers are inefficient and inflexible, as they rely on static configurations that fail to adapt to varying workloads, environmental conditions, and changing requirements, leading to suboptimal performance and increased energy consumption.
Innovation Solution
A hybrid cooling system that dynamically combines air cooling, direct-to-chip liquid cooling, and immersion liquid cooling, controlled by a hybrid cooling controller to adjust resources based on real-time conditions and workload demands, utilizing AI and machine learning for optimized thermal management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static cooling configurations are used, then system simplicity is maintained, but adaptability to varying workloads and environmental conditions deteriorates
Solution Approach 1:
The cooling system transitions from static to dynamic operation by implementing real-time monitoring of thermal conditions and workload demands. The controller dynamically adjusts cooling resource allocation, switching between different cooling mechanisms (air cooling, direct-to-chip liquid cooling, immersion liquid cooling) based on current system state, thereby resolving the contradiction between simplicity and adaptability
Solution Approach 2:
The system changes operational parameters by adjusting cooling mechanism selection and resource distribution based on monitored temperature, workload, and environmental conditions. This parameter adaptation enables the system to optimize performance across varying conditions without requiring complete system redesign
2Use of energy by moving object
If legacy cooling technologies are used, then implementation simplicity is maintained, but energy efficiency and thermal management performance deteriorate
Solution Approach 1:
The patent merges multiple cooling mechanisms (air cooling, direct-to-chip liquid cooling, immersion liquid cooling) into a unified hybrid cooling system. This combination allows the system to leverage the advantages of each mechanism and switch between them based on efficiency requirements, improving overall energy efficiency while managing complexity through integrated control
Solution Approach 2:
The system implements feedback control by continuously monitoring thermal conditions, workload demands, and environmental factors. This feedback enables real-time optimization of cooling resource allocation to maximize energy efficiency, with the controller adjusting operations based on monitored performance metrics
3Reliability
If cooling resources are statically allocated, then system operation simplicity is maintained, but thermal management effectiveness deteriorates
Solution Approach 1:
The system dynamically reallocates cooling resources based on real-time thermal conditions and workload demands rather than using static allocation. The controller monitors temperature sensors and workload metrics to dynamically adjust cooling mechanism activation and resource distribution, improving thermal management effectiveness while maintaining operational simplicity through automated control
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 hybrid cooling system enhances energy efficiency, adapts to changing thermal demands, and improves performance by dynamically allocating cooling resources, reducing energy consumption and extending component lifespan.
Implementation Method 1
The cooling fluid may be circulated through a closed loop that absorbs heat directly from the components
Implementation Method 2
The heat from the components is transferred to the coolant. It is then circulated away and cooled through a heat exchanger
Data Source
AI summary
Hybrid and adaptive cooling systems are described. A method comprises selecting a cooling system type from a set of cooling system types of a hybrid cooling system to cool an electronic component of an electronic device, generating a control directive to activate a cooling component of the cooling system type, and performing thermal management of the electronic component of the electronic device using the cooling component of the cooling system type. Other embodiments are described and claimed.