Expandable Data Center With Movable Walls And Modular Side Modules
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Data centers face challenges in rapidly expanding or contracting computing capacity due to resource-intensive construction and maintenance processes, high initial and ongoing costs, and inefficiencies in power distribution and waste heat management.
Innovation Solution
Implementing a data center design with movable walls and modular side modules that can be easily translated or extended to adjust the size of the computing room, allowing for flexible expansion or contraction of computing space without the need for extensive renovations, while maintaining efficient power distribution and cooling systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional construction methods are used to expand data center capacity, then computing capacity increases, but construction time and resource investment increase substantially
Solution Approach 1:
The data center is divided into modular units (40-foot shipping containers) that can be independently manufactured and assembled. Each module contains complete functional systems (power, cooling, networking), allowing parallel construction and rapid deployment. This segmentation enables the data center to expand from 1 to N modules without requiring complete reconstruction, reducing construction time from months to weeks or days.
Solution Approach 2:
All construction, cable laying, cooling system installation, and testing are completed while modules are manufactured off-site in controlled environments. Modules arrive pre-assembled and pre-tested, eliminating on-site construction delays. Power feeds and network connections are pre-configured, allowing modules to be operational immediately upon installation, thus preventing time loss associated with sequential construction activities.
2Productivity
If traditional data center expansion is implemented, then computing capacity increases, but resource investment (materials, labor, equipment) increases substantially
Solution Approach 1:
The data center infrastructure is segmented into standardized 40-foot modular units that can be manufactured using conventional shipping container materials and construction methods. This approach leverages existing supply chains for container fabrication, reducing the need for specialized construction materials. Modules can be stacked and configured using standard lifting equipment, eliminating the need for heavy construction machinery and reducing equipment-related resource investment.
Solution Approach 2:
Each modular unit is designed as a universal building block that can serve multiple functions depending on configuration. Modules can be arranged in various patterns (single row, multiple rows, stacked configurations) to create different data center sizes and layouts. The same basic module type can accommodate different computing workloads, power requirements, and cooling needs, reducing the variety of specialized components needed and simplifying the supply chain.
3Adaptability or versatility
If modular side modules are added to expand computing room, then adaptability improves, but device complexity increases
Solution Approach 1:
The data center is segmented into identical or standardized modular units, each containing complete functional systems. This standardization reduces configuration complexity because each module follows the same internal layout, power distribution scheme, and cooling architecture. Adding capacity simply involves adding more of the same proven module type rather than designing custom configurations, reducing engineering complexity while maintaining high adaptability.
Solution Approach 2:
The modular design enables dynamic reconfiguration of the data center by adding, removing, or relocating modules as computing needs change. Modules can be easily connected or disconnected from the main facility without affecting other modules, allowing the system to adapt to changing requirements. This dynamic capability is achieved through standardized connection interfaces and independent module operation, which actually reduce overall system complexity compared to fixed installations.
Data Source
AI summary
Enlarging a computing room includes moving a movable wall of a computing room away from one or more other walls of the computing room such that a gap is created in an expansion zone between the movable wall and the other walls. Side modules are coupled in the gaps between the movable wall and the other walls such that the side modules, the movable wall, and the other walls define an enlarged computing room that includes the expansion zone.


