Dynamic Set Point Adjustment for Data Center Power Optimization
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Solution Overview
Problem
Conventional modular data centers and server systems are limited by fixed power and temperature set points, which do not adapt to changing operating conditions, leading to inefficiencies and potential failures in large-scale information handling systems.
Innovation Solution
An Interactive Component-Level Visual Monitoring and Control (ICVMC) system that includes a network interface, memory with configuration data structures, and a processor to dynamically adjust set points in data centers based on ambient conditions and user inputs, enabling real-time optimization and testing without physical intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If hard set points are pre-set at the manufacturer and remain constant, then device complexity is reduced and ease of operation is improved, but adaptability to changing operating conditions deteriorates and power efficiency worsens
Solution Approach 1:
The patent implements dynamic set points that automatically adjust based on ambient conditions (temperature, humidity, power consumption) rather than using fixed manufacturer-pre-set values. The system continuously monitors environmental parameters and modifies cooling set points in real-time to adapt to changing operating conditions, resolving the contradiction between ease of operation and adaptability.
Solution Approach 2:
The system changes the parameter values of set points dynamically based on monitored ambient conditions. Instead of constant parameters, the set points are adjusted as functions of environmental variables such as temperature, humidity, and power consumption levels, enabling the system to adapt to varying operating conditions while maintaining automated control.
2Device complexity
If hard set points are used for power and temperature control, then device complexity is reduced, but power efficiency and operational optimization deteriorate
Solution Approach 1:
The patent incorporates feedback mechanisms that monitor ambient conditions (temperature, humidity, power consumption) and use this information to automatically adjust set points. The system continuously feeds back environmental data to the control logic, which then modifies cooling set points to optimize power efficiency while maintaining appropriate complexity levels through automated decision-making.
Solution Approach 2:
The system performs self-optimization by automatically adjusting its own set points based on monitored conditions without requiring external intervention. The cooling system serves itself by autonomously modifying operational parameters in response to environmental changes, improving power efficiency while keeping the control architecture relatively simple.
3Reliability
If constant set points are maintained regardless of operating conditions, then reliability is improved through consistency, but service life and adaptability deteriorate due to inability to respond to environmental changes
Solution Approach 1:
The system transitions from static to dynamic set point management, allowing cooling parameters to adapt to environmental changes. This dynamic adjustment prevents equipment stress from operating in inappropriate conditions, thereby extending service life while maintaining reliability through consistent performance monitoring and automated response to changing conditions.
Data Source
AI summary
An interactive component-level visual monitoring and control (ICVMC) system of a large-scale information handling system (LIHS) displays on a display device graphical user interfaces (GUIs) that include a visual representation of data centers (DCs) each having functional components operationally configured and interconnected in a system that operates based, at least in part, on one or more set points stored in respective registers. in response to receiving a user selection, ICVMC system changes set point/s respectively in registers in at least one DC based upon a test protocol or a locally-optimized operating protocol to obtain one of a test result and a local optimization of the at least one DC.