Modular Data Center Layout for Rapid Scaling and Fire Containment

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Solution Overview

Problem

Data centers face challenges in rapidly scaling computing capacity, managing electrical power distribution, and mitigating fire risks due to the complexity and resource-intensiveness of traditional data center design and expansion, as well as the spread of fires across large facilities.

Innovation Solution

A modular computing system comprising pre-fabricated data center modules with integrated electrical and air handling modules that can be easily deployed and scaled, featuring a stand-alone, environmentally controlled setup requiring only source electrical power and ambient air, with integrated fire suppression systems to contain potential fires.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional data center design and expansion processes are used, then computing capacity can be provided, but the deployment time and resource requirements increase substantially

Engineering Contradiction:
Improvedeployment speedVSAvoiddeployment time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The data center system is divided into modular units that can be independently deployed. Each module contains complete functional components (servers, storage, networking, cooling, power) that can be installed and operationalized separately, enabling phased deployment and reducing overall deployment time

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Modular components are pre-configured and pre-tested in controlled environments before deployment. The system allows for advance preparation of complete functional units, including pre-installation of software, networking configurations, and cooling systems, eliminating on-site configuration delays

Inventive Principle:
Principle #10Preliminary action

2Productivity

If traditional data center expansion processes are used, then computing capacity is increased, but resource intensity and complexity increase

Engineering Contradiction:
Improvecomputing capacityVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system breaks down complex data center functionality into standardized modular components. Each module encapsulates specific functions (compute, storage, networking, cooling, power) that can be independently managed, reducing overall system complexity while enabling scalable capacity increases

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The modular design creates universal building blocks that can serve multiple functions. Standardized interfaces and configurations allow the same module type to be deployed in various positions and configurations, simplifying management and reducing the variety of components that must be tracked

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Reliability

If fire suppression systems are added to protect against fire spread, then fire protection is improved, but system complexity and cost increase

Engineering Contradiction:
Improvefire protectionVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The data center is divided into fire compartments using modular construction. Physical barriers and fire-rated materials are integrated into the modular units themselves, creating natural fire containment zones that limit fire spread without requiring complex additional suppression systems

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The modular design converts the potential harm of fire spread into a benefit by using the modular boundaries as fire containment barriers. The same structural elements that provide mechanical support and environmental control also serve as fire ratings, eliminating the need for separate complex fire suppression infrastructure

Inventive Principle:
Principle #22Blessing in disguise (Convert harm into benefit)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables rapid deployment and scaling of computing capacity with reduced resource and time requirements, while minimizing fire risks through modular design and integrated fire suppression, allowing data centers to efficiently manage power distribution and cooling.

Implementation Method 1

Some known data centers include methods and apparatus that facilitate waste heat removal from a plurality of racking systems, typically by circulating air through one or more of the rack systems

Methodology Applied
Scientific EffectAir circulation: Convection

Data Source

PatentUS9101080B2Modular computing system for a data center
Publication Date: 2015.08.04 AMAZON TECH INC
  • US9101080B2 patent drawing
  • US9101080B2 patent drawing
  • US9101080B2 patent drawing

AI summary

A modular computing system for a data center includes one or more data center modules including rack-mounted computer systems. An electrical module is coupled to the data center modules and provides electrical power to computer systems in the data center modules. One or more air handling modules are coupled to the data center modules. The data center module may include two pre-fabricated portions, each portion including a row of racks of computer systems. The two computing module portions of the data center module may combine to form a computing space when coupled to one another.