Server Coolant Flow Control for Load-Adaptive Power Reduction
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Solution Overview
Problem
Conventional cooling technologies for electronic equipment in server racks are inefficient in power usage, particularly during low server loads, and lack dynamic adjustment of coolant flow rates to optimize power consumption and maintain safe operating temperatures.
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 total power consumption and maintain safe operating temperatures using static or machine learning models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If constant flow rate is maintained to ensure efficient cooling during peak server loads, then cooling reliability is improved, but power consumption increases during low server loads
Solution Approach 1:
The patent implements dynamic adjustment of coolant flow rate based on real-time server load conditions. The system transitions from static constant flow rate to dynamic variable flow rate, adjusting the pump speed according to actual cooling需求的. This resolves the contradiction by making the flow rate adaptive - high during peak loads for reliable cooling, and low during idle periods for energy efficiency.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor server temperature and load conditions, then adjust the coolant flow rate accordingly. Sensors detect thermal conditions and feed this information back to the control system, which modulates pump speed to maintain optimal cooling while minimizing power consumption. This closed-loop control resolves the contradiction by continuously optimizing the balance between cooling reliability and energy usage.
2Reliability
If oversized flow rate is used to handle peak heat generation, then temperature control reliability is improved, but power consumption increases during low server loads
Solution Approach 1:
The system applies partial cooling action matched to actual server load rather than excessive constant cooling. During low server loads, the coolant flow rate is reduced to match the actual heat generation, avoiding the energy waste of oversized cooling capacity. During peak loads, the system can scale up to provide sufficient cooling. This principle resolves the contradiction by optimizing the cooling input to match actual thermal output.
Solution Approach 2:
The patent changes the flow rate parameter dynamically based on server operating conditions. Instead of maintaining a fixed oversized flow rate, the system adjusts this critical parameter according to server load, temperature differentials, and cooling efficiency metrics. This parameter optimization resolves the contradiction by ensuring adequate cooling reliability only when and where needed, eliminating energy waste during low-demand periods.
3Use of energy by moving object
If dynamic adjustment of coolant flow rate is implemented, then power consumption optimization is improved, but system complexity increases
Solution Approach 1:
The patent integrates multiple functions into the cooling control system: temperature sensing, load monitoring, flow rate calculation, and pump control are combined in a unified control architecture. The system serves multiple purposes - optimizing power consumption while maintaining temperature control and providing system monitoring. This multi-functionality approach resolves the contradiction by consolidating complexity into an integrated solution rather than separate independent systems.
Solution Approach 2:
The system introduces a control intermediary (controller or management interface) that mediates between the server load conditions and the coolant pump operation. This intermediary processes temperature and load data, calculates optimal flow rates, and controls the variable speed pump. While this adds a control layer, it resolves the contradiction by automating the complex optimization calculations and flow rate adjustments, making the system manageable despite increased complexity.
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 efficiently manages power consumption and thermal conditions by dynamically adjusting coolant flow, ensuring safe operating temperatures while reducing energy waste and optimizing cooling efficiency.
Implementation Method 1
Heat is absorbed by water flowing between these liquid-cooling units and heat exchange components located outside of the racks
Implementation Method 2
Liquid-cooling units, for example so-called water blocks, are mounted on heat-generating components, such as processors. Heat is absorbed by water flowing between these liquid-cooling units
Data Source
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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.