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22376/05

Brilliant White Sarico 325mm LED CCT Exhaust Fan


$152.50 List price: $198.50
+

Weight: 2.500 kg

Product Name/Title: Brilliant White Sarico 325mm LED CCT Exhaust Fan

Brand: Brilliant Lighting

SKU: 22376/05

Alternatively Known As: LED Exhaust Fan, CCT Exhaust Fan, Bathroom Ventilation Fan

Technical Specifications
  • Max airflow: 400m³/hr
  • Operating voltage: 220-240V AC / 50Hz
  • Light wattage: 15W
  • Light lumens: 1100lm
  • Colour temperature: 3000K / 4200K / 6000K
  • Ingress protection: IP44
  • Class: Class I (1)
  • Motor wattage: 45W
  • Motor type: Ball Bearing
  • Plug and cord: 1 x 3-pin SAA approved, 0.9m length
  • Dimensions (H x L x W): 325mm x 100mm x 325mm
  • Weight: 2.5 kg
Key Features
  • High-performance ball bearing motor for efficient extraction.
  • Energy-efficient LED light source with adjustable colour temperature.
  • IP44 rated, suitable for installation above showers.
  • Removable cover for easy cleaning.
  • Includes 100mm and 150mm duct adaptor with draft stopper.
Professional Installation Requirements
  • Must be installed by a licensed electrician for optimal safety and performance.
Applications
  • Residential: Bathrooms, kitchens, laundry rooms
  • Commercial: Offices, retail spaces requiring ventilation
Standards & Compliance
  • Complies with AS/NZS 60335.2.80 and AS/NZS 60335.1 for safety and performance standards.
Environmental Benefits
  • Energy-efficient design reduces electricity consumption and environmental impact.
Warranty Information

3 years warranty against manufacturing defects.

Available Now

The Brilliant White Sarico 325mm LED CCT Exhaust Fan is available now for immediate purchase. Ideal for residential and commercial spaces requiring effective ventilation.

Datasheet (22376_Datasheet.pdf, 147 Kb) [Download]

Instruction Manual (22376_IM.pdf, 294 Kb) [Download]

SDOC (22376_SDoC.pdf, 229 Kb) [Download]


Exhaust Fan Airflow Calculator






This calculator follows relevant Australian standards to ensure reliable and compliant performance. It provides an estimated recommendation based on user inputs.
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