Data Center Rack Layout Optimization via Airflow Pairing
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Solution Overview
Problem
Data centers face challenges in optimizing air flow and energy usage due to the inefficient arrangement of equipment racks and cooling providers, leading to increased costs and suboptimal cooling performance.
Innovation Solution
A computer-implemented method and system that determines an optimized layout for equipment racks and cooling providers in a data center by pairing racks based on airflow consumption and arranging them in a two-row cluster, with cooling providers positioned between racks to achieve balanced airflow distribution and meet desired cooling redundancy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If equipment racks are arranged in conventional configurations, then data center structure is simple and easy to implement, but air flow distribution is inefficient and cooling performance is suboptimal
Solution Approach 1:
The patent applies local quality by pairing equipment racks with different airflow consumption characteristics together, creating localized zones with balanced airflow demands. This allows cooling providers to serve heterogeneous rack groups efficiently, improving overall energy usage without requiring complete redesign of the entire data center layout.
Solution Approach 2:
The patent segments equipment racks into pairs based on airflow consumption metrics, then organizes these pairs into clusters. This segmentation approach transforms the complex problem of optimizing individual rack positions into a more manageable structure where paired racks are treated as units, reducing arrangement complexity while improving cooling efficiency.
2Reliability
If cooling providers are positioned to maximize cooling capacity, then cooling performance is improved, but air flow distribution becomes unbalanced and energy efficiency decreases
Solution Approach 1:
The patent changes the arrangement parameters by positioning cooling providers at specific locations relative to paired racks with complementary airflow characteristics. This parameter optimization ensures that cooling capacity is distributed balancedly across different rack pairs, simultaneously improving cooling performance and energy efficiency through optimized spatial relationships.
3Productivity
If equipment racks are arranged to optimize air flow distribution, then cooling efficiency is improved, but the arrangement becomes complex and difficult to implement
Solution Approach 1:
The patent simplifies implementation by segmenting racks into standardized pairs based on airflow consumption, then arranging these pairs into clusters with cooling providers. This segmentation creates a modular approach that maintains high cooling efficiency while reducing implementation complexity compared to optimizing each rack position individually.
Solution Approach 2:
The patent performs preliminary pairing of racks based on airflow consumption characteristics before final cluster arrangement. This preliminary action pre-processes the complexity by establishing logical pairings upfront, making the subsequent spatial arrangement and implementation more straightforward while preserving optimized airflow distribution.
Data Source
AI summary
A system and method for providing a layout of equipment in a data center, the equipment including a plurality of equipment racks, and at least one rack-based cooling provider. In one aspect, the method includes receiving data regarding airflow consumption for each of the plurality of equipment racks and cooling capacity of the at least one cooling provider, determining a layout of the data center, and displaying the layout of the data center. In the method determining a layout can include pairing each equipment rack of the plurality of equipment racks with another equipment rack of the plurality of equipment racks based on airflow consumption of each of the plurality of equipment racks to create a plurality of pairs of equipment racks, and arranging the plurality of pairs of equipment racks to form a two-row cluster of equipment racks based on the airflow consumption of each equipment rack, wherein each pair includes an equipment rack in a first row of the cluster and an equipment rack in a second row of the cluster.