Rack Thermal Management

Image Part Number Description / PDF Quantity Rfq
DAH4001B

DAH4001B

nVent Hoffman

ELECTRIC HEATER 400 WATT

3

HF1016414

HF1016414

nVent Hoffman

IP54 10" FILTER FAN 115V 7035, B

0

HF0916414

HF0916414

nVent Hoffman

IP54 9" FILTER FAN 115V 7035, BU

2

HF1324414

HF1324414

nVent Hoffman

IP54 13" 376 FILTER FAN 24V 7035

2

HF0416414

HF0416414

nVent Hoffman

IP54 4" FILTER FAN 115V 7035, BU

3

DAH8001B

DAH8001B

nVent Hoffman

ELECTRIC HEATER 800 WATT

17

HF1316414

HF1316414

nVent Hoffman

IP54 13" 376 FILTER FAN 115V 703

2

HF0926414

HF0926414

nVent Hoffman

IP54 9" FILTER FAN 230V 7035, BU

3

HF0516414

HF0516414

nVent Hoffman

IP54 5" FILTER FAN 115V 7035, BU

2

HF1024414

HF1024414

nVent Hoffman

IP54 10" FILTER FAN 24V 7035, BU

2

HF1326414

HF1326414

nVent Hoffman

IP54 13" 376 FILTER FAN 230V 703

8

HF1316424

HF1316424

nVent Hoffman

IP54 13" 473 FILTER FAN 115V 703

2

DAH301

DAH301

nVent Hoffman

SEMICONDUCTOR HEATER 30 WATT

3

HF1026414

HF1026414

nVent Hoffman

IP54 10" FILTER FAN 230V 7035, B

3

HF0924414

HF0924414

nVent Hoffman

IP54 9" FILTER FAN 24V 7035, BUL

3

N170126G010

N170126G010

nVent Hoffman

AC NARROW 1000 BTU 230V

0

G280416G050

G280416G050

nVent Hoffman

G28 4000 BTU AC 28.55X16.97X10.1

0

A4AXFNPG

A4AXFNPG

nVent Hoffman

AXIAL FAN 4" COMPACT 115V

0

HF0948414

HF0948414

nVent Hoffman

IP54 9" FILTER FAN 48V

0

N170216G010

N170216G010

nVent Hoffman

AC NARROW 2000 BTU 115V

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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