MAKS FAN COIL TABLET

MAKS FAN COIL TABLET

MAKS FAN COIL TABLET

GENERAL DESCRIPTION

MAKS FAN COIL TABLET is a slow dissolving biocide tablet that scientifically developed to control slime forming bacterias and other undesired biological growths (Fungea, algea, mildew, virus, etc…) in air conditioning systems.

PRINCIPAL USES

MAKS FAN COIL TABLET is used as part of a planned maintenance program for air handling units in industrial, commercial and medical establishments, hotels, public and private buildings to reduce the risk of microbio based health risks.

PRODUCT BENEFITS

  • Prevents biological contamination in air conditioning systems and avoids the related potential health risks
  • Removes unpleasant odors
  • Reduces maintenance and related costs
  • Avoids overflowings and damaging to furnishings
  • Extended protection to the systems with its slow dissolved structure
  • Easy usage thanks to its tablet form.

DOSAGE

Your BIMAKS representative will recommend the optimum dosage necessary to ensure maximum program performance according to your specific system parameters.

FEEDING

Place the MAKS FAN COIL TABLET in the condensation pan. Each tablet lasts 3 to 6 months depending on the HVAC operation and the amount of produced condensates. The tablets can be replaced as they are dissolved.

HANDLING – STORAGE – SHIPPING

As a standard precaution with all chemicals we recommend the use of protective equipment such as goggles and rubber gloves when handling. Consult the Material Safety Data Sheet as the only official source of Environmental and Safety information.

The product can be stored up to 24 months from date of shipping if kept in its original unopened container and under normal warehouse conditions. Protect from freezing and from exposure to high temperature.

APPLICATION METHOD AND QUANTITY

The dosage quantity of the product changes according to the operating conditions and water chemistry of the system. BIMAKS representative will propose the appropriate dosage quantity to ensure maximum conditioning performance based on the distributed system parameters.