Intelligent Two-Phase Pumped Cooling With Vapor-Quality Feedback
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Solution Overview
Problem
Data center cooling systems face challenges in maintaining optimal vapor quality of two-phase coolants within a predetermined range, which affects the efficiency of heat transfer from computing resources to external coolants.
Innovation Solution
The system adjusts coolant flow based on vapor quality measurements at different granularities, such as rack, server, and processor levels, to maintain an appropriate vapor quality for efficient heat transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If coolant flow rate is increased, then heat transfer capacity is improved, but vapor quality becomes too low (inefficient heat absorption)
Solution Approach 1:
The system employs vapor quality sensors to continuously monitor the state of the two-phase coolant and feeds this information back to the pump controller. The controller adjusts the coolant flow rate dynamically based on the measured vapor quality, creating a closed-loop control system that optimizes heat transfer while maintaining reliable phase change conditions.
Solution Approach 2:
The coolant flow rate is made dynamically adjustable rather than fixed. The system transitions from static flow control to dynamic flow control where the pump speed and flow rate are continuously modified in response to changing thermal loads and vapor quality conditions, enabling optimal performance across varying operating conditions.
2Reliability
If coolant flow rate is decreased, then vapor quality is improved (efficient heat absorption), but heat transfer capacity is reduced
Solution Approach 1:
The vapor quality sensor provides continuous feedback to the pump controller, enabling real-time adjustments to coolant flow rate. When vapor quality becomes too high (indicating excessive evaporation and potential dry-out), the system increases flow rate to maintain efficient heat absorption while preventing overheating.
Solution Approach 2:
The system uses dynamic flow rate adjustment to balance vapor quality and heat transfer capacity. By continuously modulating the pump output based on actual operating conditions, the system can operate at high flow rates when thermal load is high and at lower flow rates when thermal load is low, optimizing both parameters across the full operating range.
3Device complexity
If fixed coolant flow rate is used, then system simplicity is maintained, but inability to adapt to varying thermal loads reduces cooling efficiency
Solution Approach 1:
The system introduces a feedback control loop where vapor quality measurements from sensors are used to automatically adjust coolant flow rate. This closed-loop control enables the system to adapt to varying thermal loads without requiring complex manual intervention or multiple operating modes, maintaining relative simplicity while significantly improving cooling efficiency.
Solution Approach 2:
The cooling system performs self-adjustment based on its own operational state. The vapor quality sensors monitor the system's performance, and the controller automatically modifies flow rate to optimize heat transfer, enabling the system to self-regulate and adapt to changing conditions without external control or complex programming.
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 enhances the efficiency of heat transfer by ensuring the coolant entering the condenser has an optimal vapor quality, thereby improving the overall cooling performance of data centers.
Implementation Method 1
Two-phase cooling use coolants that change from a liquid phase to a gaseous phase as they take heat from computing resources. The change in phase can absorb a significant amount of heat in a short amount of time.
Implementation Method 2
The gaseous component of the coolant can be returned to a liquid phase in a condenser before being circulated back to the computing resources.
Data Source
AI summary
Systems and methods include a first valve that controls a flow rate of a coolant. A processor is configured to set the flow rate of the coolant to a rate that maintains a vapor quality, measured at an outlet of the coolant, within a predetermined quality range.