Wall Light Surface Mount Antique Brass Interior 250mm Pleated CLA
CLA Lighting interior wall light, surface mount, antique brass. Ideal for feature and task lighting.
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Alternatively Known As: PREGA Wall Light, CLA Pleated Wall Sconce, Interior Fabric Shade Wall Light, PREGA-W1
- Input Voltage: 220–240V AC
- Lamp Holder: 1 x E27 / ES
- Maximum Wattage: 60W
- Globe Included: No
- Material: Fabric shade and iron bracket
- Finish: Black shade with antique brass highlight
- Application: Indoor use only
- Base: Ø120 x 25mm deep
- Packaged Dimensions: 420 x 280 x 210mm
- Dimensions (H x L x W): 303mm x 296mm x 250mm
- Weight: 1.5 kg
- Slanted pleated fabric shade for softened light distribution
- Antique brass highlight provides a decorative contrast
- Compatible with a wide range of E27 LED globes
- Suitable for feature, ambient and task lighting
- Compact surface-mounted wall design
- Globe supplied separately
- Indoor-use fitting
- Installation must be performed by a licensed electrician in accordance with the supplied instructions and applicable Australian electrical requirements.
- Bedrooms
- Living rooms
- Hallways
- Bedside and reading areas
- Feature and task lighting in interior spaces
- AS/NZS 60598.1:2025 — Luminaires, general requirements and tests
- AS/NZS 60598.2.1:2014 — Particular requirements for fixed general purpose luminaires
- Compatible with energy-efficient E27 LED globes, allowing lower operating energy than equivalent incandescent lamps
- Iron components can be recovered through metal recycling at end of service life
- Replaceable globe design can extend fitting service life and reduce whole-fitting waste
1-year replacement warranty, subject to CLA Lighting warranty conditions and licensed electrician installation requirements.
Available through CLA Lighting and authorised Australian lighting distributors; stock status may vary by distributor.
Lighting Requirement 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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