Distributed Climate Control for Data Center Hotspot Mitigation
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Solution Overview
Problem
Traditional climate control systems in data centers struggle to efficiently address localized temperature variations, such as hotspots, leading to energy inefficiency and undercooling of other areas, as they often operate all units simultaneously.
Innovation Solution
A location-aware climate control system with distributed climate sensors and control units that determine load-specific impact data to identify and target specific climate adjustments using a controller to activate only the most impactful units for localized anomalies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all climate control units are activated simultaneously to address a hotspot, then the hotspot is mitigated, but energy consumption increases and other portions of the data center become undercooled
Solution Approach 1:
The system determines load-specific impact data that characterizes the impact of each climate control unit on specific loads. This enables differentiated control where units are selectively activated based on their specific impact on localized hotspots rather than uniform activation of all units, thereby reducing overall energy consumption while maintaining effective hotspot mitigation.
Solution Approach 2:
Instead of activating all climate control units simultaneously (excessive action), the system activates only the subset of units with the greatest impact on the detected hotspot (partial action). This partial activation approach reduces energy consumption while still providing sufficient cooling to address the hotspot effectively.
2Reliability
If all climate control units are activated simultaneously, then hotspot mitigation is achieved, but undercooling of other portions of the data center occurs
Solution Approach 1:
The system uses load-specific impact data to understand the differential impact of each climate control unit on different loads. This enables precise control that addresses hotspots in specific locations without over-cooling other areas, maintaining appropriate temperature distribution throughout the data center.
Solution Approach 2:
By activating only the necessary subset of climate control units rather than all units simultaneously, the system provides targeted cooling to hotspot areas without causing excessive cooling in other portions of the data center, thus maintaining balanced temperature distribution.
3Ease of operation
If climate control units operate independently without coordination, then conflicting operations occur, but centralized control adds system complexity
Solution Approach 1:
The system performs preliminary determination of load-specific impact data for each climate control unit before actual operation. This pre-characterization enables units to operate semi-independently while still coordinating effectively, as each unit's impact profile is pre-established and stored for use during hotspot mitigation operations.
Solution Approach 2:
Each climate control unit operates with awareness of its specific impact on loads based on pre-determined load-specific impact data. This self-awareness enables units to make informed operational decisions without requiring constant centralized coordination, balancing operational independence with necessary coordination to avoid conflicting operations.
Data Source
AI summary
A climate control system may include climate sensors distributed within an environment containing a plurality of loads as well as control units distributed within the environment. The system may include a controller communicatively coupled with the climate sensors and the climate control units. The controller may receive localized climate data from the climate sensors. The controller may determine, for each of the climate control units, load-specific impact data associated with at least one incremental change of one or more operational settings on the loads based on the localized climate data. The controller may identify a localized climate anomaly based on the localized climate data. The controller may provide, in response to the localized climate anomaly, a targeted climate adjustment of at least one of the one or more operational settings of a subset of the climate control units based on the load-specific impact data.