Adaptive Server Room Cooling via Device-Level Feedback
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Solution Overview
Problem
Conventional environmental control systems in server rooms are inefficient as they react to the performance of individual devices on a macro-level, leading to increased energy costs and reduced efficiency due to the inability to dynamically adjust cooling based on real-time thermal and performance data from individual devices.
Innovation Solution
An adaptive environmental control infrastructure that integrates individual device performance data into the environmental control system through a master node and slave node network, enabling bi-directional communication to dynamically adjust cooling and power consumption based on real-time conditions, such as temperature and workload, without the need for additional sensors or hardware modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If conventional environmental control systems control the entire room based on macro-level performance, then the system is simple to operate, but energy efficiency deteriorates due to inability to dynamically adjust cooling based on individual device conditions
Solution Approach 1:
The patent segments the environmental control system into individual device-level control units. Each device can report its thermal and performance conditions independently, allowing the system to adjust cooling on a per-device basis rather than controlling the entire room uniformly. This segmentation enables dynamic, fine-grained control that improves energy efficiency by targeting cooling only where needed.
Solution Approach 2:
The system implements dynamic environmental control by continuously monitoring real-time thermal and performance data from individual devices and adjusting cooling accordingly. The control parameters are not static but adapt based on current device conditions, workload variations, and thermal states, allowing the system to respond flexibly to changing conditions and optimize energy consumption.
2Productivity
If environmental control systems use reactive control based on general room conditions, then the control logic is simple, but productivity deteriorates due to increased operational costs
Solution Approach 1:
The patent implements a feedback mechanism where individual devices report their thermal and performance conditions to the environmental control system. This feedback loop enables the system to make informed decisions about cooling adjustments based on actual device needs rather than general room conditions. The feedback-driven approach optimizes operational efficiency by preventing unnecessary cooling while ensuring adequate thermal management.
Solution Approach 2:
Individual devices actively participate in the environmental control process by monitoring and reporting their own thermal and performance conditions. This self-service approach allows devices to communicate their specific cooling needs, enabling the system to allocate cooling resources more efficiently and reduce overall operational costs while maintaining productivity.
3Use of energy by moving object
If the system implements fine-grain control based on individual device data, then energy efficiency improves, but device complexity increases due to integration requirements
Solution Approach 1:
The patent implements a universal communication interface and data format that allows diverse devices to report their thermal and performance conditions through a common protocol. This multi-functionality enables the environmental control system to handle different device types uniformly, reducing integration complexity while maintaining fine-grain control capabilities. The universal interface simplifies the integration process despite the increased granularity of control.
Data Source
AI summary
Integrating information and performance controls for individual devices with environmental controls. Integrating the individual devices with general environmental control enables adaptive environmental control. For equipment housed in a bounded space such as a server room, information about the thermal environment within the bounded space can affect the performance of the equipment. Additionally, information about the performance conditions and/or thermal conditions about a piece of equipment can affect how the environmental control system for the bounded space operates. The equipment exchanges environmental event messages with a control node to affect the performance of the equipment and/or the environmental control system.