MODULAR 1 T/h

The MODULAR is a highly efficient palm oil mill producing top grade CPO on an industrial scale. The prefabricated mill is based on a sustainable logical process, built with well-engineered and sturdy equipment.

With a processing capacity of 1 ton of FFB per hour, the MODULAR is a unique, fully operational mill, preassembled in 4 containers, for easy shipment and installation on site, designed specifically for installation in remote areas.

The MODULAR comprises following elements :

  • a pressure sterilizer
  • self-cleaning rotating drum thresher
  • a digester
  • twin screw press
  • a double continuous oil and sludge decanter
  • an oil dryer
  • a nut cracker
  • a reliable diesel generator
  • a biomass fueled steam boiler

The MODULAR is a highly profitable unit with low maintenance cost, giving you a quick return on investment.

The main advantages of the MODULAR in a nutshell :

> logical processing line, based on safe-working, sturdy, simple and well-engineered equipment
> reliable European product
> available in remote areas thanks to containerised pre-assembly
> plug-and-play system operational in only 3 weeks
> autonomous, independent from grid, biomass fired
> operational 24/7
> top quality CPO

The MODULAR is a real money-maker!

Details

  • MODULAR set-up
    Positioning of preassembled 20' container boxes on concrete slate
  • MODULAR
    Chimney and roof structure all included in the box
  • MODULAR sterilising unit
    Steriliser
  • FFB
    Output of self-cleaning rotating digester
  • MODULAR twin screw press
    PP1 Twin screw press
  • MODULAR double stage decanting
    Double stage decanting
  • MODULAR oil dryer
    Oil dryer
  • RENTEC team
    Supervision of installation by RENTEC engineer
  • MODULAR night view
    Production 24/7
  • CPO
    CPO
  • MODULAR
    Completed plant only 3 weeks after start of installation

Interested ?
Contact us.

  • Reliable

  • Expertise combined with good reputation

  • Company of the
    Valtech Group

  • Contact us
    about your project