Rack Thermal Management

Image Part Number Description / PDF Quantity Rfq
OA602

OA602

Orion Fans

6 FAN TRAY 230V 660CFM

0

OA300A

OA300A

Orion Fans

3 FAN TRAY MODULE AC 115V

12

OA406

OA406

Orion Fans

1U FANTRAY FRONT EXH 90-264VAC

20

OA300ST-120

OA300ST-120

Orion Fans

3 FAN TRAY 115V 8" DEEP 310CFM

40

OA300ST-230

OA300ST-230

Orion Fans

3 FAN TRAY 230V 8" DEEP 310CFM

14

OA300ST-12003

OA300ST-12003

Orion Fans

3 FAN 120V SMART TRAY HUB SENSOR

35

OMB5200-230

OMB5200-230

Orion Fans

FAN TRAY 230V FRONT ENTRY 340CFM

0

OA302

OA302

Orion Fans

3 FAN TRAY 230V 330CFM

0

OA300S

OA300S

Orion Fans

3 FAN TRAY 115V 14" DEEP 330CFM

7

TCAC001

TCAC001

Orion Fans

THERMAL FAN CONTROLLER 120/230V

0

OA300-DV

OA300-DV

Orion Fans

3 FAN TRAY 115V/230V 330CFM

0

OD300-48

OD300-48

Orion Fans

3 FAN TRAY DC 48V 330CFM

0

OD600-12

OD600-12

Orion Fans

6 FAN TRAY DC 12V 660CFM

0

OD300S-48

OD300S-48

Orion Fans

3 FAN TRAY DC 48V 330CFM SHORT

0

OD600S-48

OD600S-48

Orion Fans

6 FAN TRAY DC 48V 660CFM SHORT

0

OD900-12

OD900-12

Orion Fans

9 FAN TRAY DC 12V 990CFM

0

OD600S-24

OD600S-24

Orion Fans

6 FAN TRAY DC 24V 660CFM SHORT

0

OD300-12

OD300-12

Orion Fans

3 FAN TRAY DC 12V 330CFM

0

OD600S-12

OD600S-12

Orion Fans

6 FAN TRAY DC 12V 660CFM SHORT

0

OA406-DUAL

OA406-DUAL

Orion Fans

1U FANTRAY 0-264VAC DUAL SUPPLY

0

Rack Thermal Management

1. Overview

Rack Thermal Management (RTM) refers to systems and solutions designed to control temperature and airflow within IT equipment enclosures. It ensures optimal operating conditions for servers, networking devices, and industrial hardware by preventing overheating and maintaining energy efficiency. With increasing data processing demands, RTM has become critical for reliability, energy conservation, and operational cost reduction in modern infrastructure.

2. Main Types and Functional Classification

TypeFunctional FeaturesApplication Examples
Active Cooling SystemsForced air circulation via fans/blowers with adjustable speed controlData centers, telecom cabinets
Passive Cooling SystemsThermal conduction through heat sinks or phase-change materialsOutdoor cabinets, industrial control panels
Liquid Cooling SystemsDirect/indirect liquid heat exchange (water/glycol or dielectric fluids)HPC clusters, 5G base stations
Smart Ventilation UnitsDynamic airflow management with temperature/humidity sensorsEdge computing installations
Hot/Cold Aisle ContainmentPhysical barriers to separate airflow pathsEnterprise server rooms

3. Structure and Components

Typical RTM systems consist of: - Metal Enclosure: Steel/aluminum frame with ventilation grilles - Thermal Components: Variable-speed fans, heat exchangers, thermoelectric coolers - Control System: Microprocessor-based controllers with IoT connectivity - Sensors: Temperature, humidity, and pressure monitoring modules - Power Supply: Redundant AC/DC power interfaces with surge protection

4. Key Technical Specifications

ParameterTypical RangeImportance
Cooling Capacity1-20 kW/rackDetermines maximum heat dissipation capability
Noise Level25-60 dBAAffects working environment comfort
Energy Efficiency Ratio (EER)0.8-2.5Measures power consumption vs. cooling performance
Temperature Control Accuracy 0.5 CEnsures stable operating conditions
IP RatingIP20-IP54Defines protection against dust and water ingress

5. Application Fields

Major industries include:

  • IT Data Centers (server racks, storage systems)
  • Telecommunications (5G NR base stations, core routers)
  • Industrial Automation (PLC control cabinets)
  • Healthcare (MRI machine enclosures)
  • Transportation (railway signaling equipment)

Case Study: A hyperscale data center in Singapore improved cooling efficiency by 35% through hot aisle containment implementation.

6. Leading Manufacturers

ManufacturerRepresentative ProductKey Features
Schneider ElectricInRow Cooling SystemModular design with 7kW capacity
Emerson Network PowerLiebert XD SeriesDirect expansion cooling with EC fans
Stulz GmbHAir Control SystemFree cooling integration capability
HuaweiNetEco Thermal ManagementAI-powered temperature optimization

7. Selection Guidelines

Key considerations:

  • Calculate heat load density (kW/rack)
  • Verify rack dimensions and airflow patterns
  • Assess energy efficiency requirements
  • Ensure compatibility with existing infrastructure
  • Evaluate smart monitoring capabilities

8. Industry Trends

Emerging developments:

  • Adoption of immersion cooling for >15kW/rack densities
  • Integration with AI-based thermal modeling
  • Rise of modular, scalable cooling solutions
  • Increased focus on green refrigerants and energy recovery
  • Growth of edge computing thermal management solutions
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