The Project

Insulation Material

“Technologies for Energy Efficient Buildings”

The FoAM-BUILD project has developed thermoplastic particle foam using newly developed raw materials, additives and process set-ups.  A nano-scaled structure has been used for the particle foam cell morphology to achieve the targeted insulation behaviour; new polymer blends and nano-scaled nucleating agents in combination with a new high pressure drop rate expansion process will be developed to realise the nano-cellular foam. 

In the project, the new particle foam was implemented into insulation panels that are lighter, thinner and more cost-effective than conventional panels.

Objectives
The objectives of FoAM-BUILD have been to:

  • Develop new, lightweight and highly insulated [olystyrene based foams, with a reduction in thermal conductivity of up to 50% compared to conventional insulation elements

  • Develop non-halogenated flame retardants with flame retardancy equal to state-of-the-art brominated flame retardants
  • Develop sustainable protection against algae/fungi growth on façade surfaces

Results
The results of FoAM-BUILD:

  • Test setup for investigation of growth of micro-organisms under dynamic conditions

  • Accelerated base coat commercially available (Alsecco Alsitop SF and Alsecco Armatop X-Press)
  • Field testing of algae/fungi prevention system in Germany and England
  • Halogen-free flame retardant low thermal conductivity insulation foam

In the project, the new particle foam was implemented into insulation panels that are lighter, thinner and more cost-effective than conventional panels.


Active monitoring and control of moisture

FoAM-BUILD is improving the long-term behaviour of ETICS and simultaneously reducing the renovation effort.

Wetness of the bulding surface cannot be avoided; however, targeted drying can prevent conditions arising in which micro-organisms thrive.

FoAM-BUILD prevents algae and fungi growth on the façade without using non-environmentally friendly chemical substances. The innovation consists of a maintenance-free sensor network and intelligent moisture prediction system that controls a ventilation system.

> Learn more about the project partners.