Underground Coolant Storage for Server Thermal Management
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Solution Overview
Problem
Data centers face challenges in efficiently managing coolant distribution to maintain optimal temperatures for servers, especially in extreme environments, as traditional cooling methods are costly and inefficient, and existing systems struggle to adapt to varying thermal loads.
Innovation Solution
A centralized coolant storage system with a system controller that monitors sensor data to determine if the coolant is maintaining target temperatures, draining and replacing coolant as needed, and using underground coolant storage cooled via conduction to optimize thermal management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If traditional air cooling systems are used, then the cooling system is simple to implement, but the cooling efficiency is insufficient for high thermal design power systems
Solution Approach 1:
The patent transitions from air cooling to liquid cooling systems, utilizing hydraulic principles to circulate coolant through channels直接接触 with server components. This enables more efficient heat removal through liquid's superior specific heat and latent heat of vaporization properties, directly addressing the cooling efficiency limitation of traditional air systems.
Solution Approach 2:
The system dynamically adjusts coolant flow rates, temperatures, and distribution parameters based on real-time thermal monitoring of server workloads. By changing operational parameters rather than the fundamental cooling mechanism, the system achieves adaptive cooling efficiency without proportionally increasing system complexity.
2Loss of energy
If liquid cooling systems are implemented, then cooling efficiency improves, but the cost and complexity of coolant management increases
Solution Approach 1:
The patent implements sensor networks that continuously monitor coolant temperature, flow rates, and server thermal conditions. This feedback is processed by control systems that automatically adjust coolant distribution, enabling efficient thermal management while reducing the operational complexity through automation rather than manual intervention.
Solution Approach 2:
The coolant management system performs self-diagnosis and self-adjustment through integrated sensors and control algorithms. The system automatically detects coolant deficiencies, thermal anomalies, and optimizes flow distribution without requiring constant human oversight, thereby managing complexity internally while maintaining high cooling efficiency.
3Temperature
If coolant is continuously supplied to maintain optimal temperatures, then server thermal performance is optimized, but energy consumption increases
Solution Approach 1:
Instead of continuous coolant circulation, the system employs periodic or on-demand coolant supply based on server workload thresholds. When thermal conditions exceed predefined limits, coolant flow is activated; when conditions are acceptable, flow is reduced or paused. This periodic action maintains optimal server temperatures while dramatically reducing the energy consumption associated with continuous pumping and cooling operations.
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 ensures efficient and cost-effective coolant management, maintaining optimal server temperatures while reducing energy consumption and operational costs by dynamically adjusting coolant supply and leveraging stable underground temperatures.
Implementation Method 1
using underground coolant storage cooled via conduction
Implementation Method 2
The use of liquids to cool electronic components is being explored for its benefits over more traditional air cooling systems, as there is an increasing need to address thermal management risks
Data Source
AI summary
Methods and apparatus for distributing coolant between server racks are disclosed herein. An example apparatus described herein includes a compute node including a sensor and a first volume of coolant, a coolant storage, memory, and at least one processor to execute instructions to determine, based on an output of the sensor, if the first volume is effective to maintain a temperature of the compute node at a target temperature, in response to determining the first volume is not effective, reduce a computation load on the first compute node, and pump, from the coolant storage, a second volume of coolant to the compute node. In some examples, the coolant storage can be disposed underground.