Exhaust Systems

Gas turbine exhaust systems are the link between the Gas turbine and the Heat Recovery Steam Generator or build for open cycle operation with high performance silencer. Our exhaust systems scope of supply contents:

GT Expansion Joint
Diffuser Duct
Damper or Diverter
Steel Structure for Bypass Stack
Silencer Casing and Silencer
Bypass Stack
Supplement firing systems
Duct towards the HRSG
Guillotine Damper
Small HRSGs
Main Stack
Stack Damper

Ceramic fiber enerfrax®

Ceramic fiber is an indispensable material in the energy and industry sectors, due to its unique properties. enerfrax products are distinguished by exceptional heat resistance and efficiency, which makes them an ideal choice for a wide range of applications. One of the key advantages of enerfrax thermal insulation wool is its ability to withstand extreme temperatures up to 1430°C without losing its insulating properties. This allows you to effectively protect equipment from overheating, ensuring stable operation even in the harshest conditions.

The ceramic fiber material is available:
Ceramic fiber rolls
Ceramic fiber boards
Ceramic fiber modules
Ceramic fiber cloth
Ceramic fiber rope
Ceramic fiber tape
Refractory Bricks

Expansion joints Fabric & Metal

Expansion joints, whether fabric or metal, compensate for longitudinal expansion of the pipe or channel in all three directions and effectively interrupt vibrations. We supply compensators for the following industries:

Fossil fueled Power Plants
Gas Turbine Power Plants
Chemical and Petrochemical Plants
Steel Mills
Cement Mills

Silenser

We supply a complete range of silencers for diesel and natural gas engines for installations from small to large, as well as all the necessary accessories. We supply custom inlet and exhaust silencers for gas turbine application.
We design silencers with an attenuation range of L_P 30 to 60 dB.
Silencers can be absorptive, resonant or reactive, and in most cases a combination of these. Acoustic and velocity/pressure drop calculations for each design should be performed in parallel to obtain the most optimized result.