Energy saving in cooling systemsHow to cut consumption in a few steps
We can select the right cooling system for your sake thanks to advanced energy consumption analysis software: this is a response to plant managers and engineering firms, who are increasingly focused to green and "bill-cutting" solutions.
Energy saving in production plants
Optimising consumption without losing cooling efficiency has become a key issue for plant managers and the engineering firms that support them.
Some production facilities, in particular, can be very energy-hungry, so the cooling system must help to “cut” the bill, as well as helping the company to go green.Tell Us Your Needs
Software for analysing the energy consumption of cooling systems
As in other circumstances, relying on efficiency analysis software is the trump card: MITA Efficiency compares different cooling systems from the MITA range. It is a practical support tool, offering a comparative energy consumption analysis based on the weather conditions in the installation area.
Under certain basic conditions, adiabatic systems can guarantee the balance between consumption savings and performance: however, it is always better to verify the individual design conditions by comparing several solutions: evaporative, adiabatic, dry and mechanical.
- Energy-saving with optimised performance.
- Selecting the most suitable cooler saves you money.
- Production costs
PAD-V Adiabatic Cooler
Ideal for water saving maintaining a high efficiency. All operations are managed by PLC with the possibility of remote management in “Industry 4.0” mode. Suitable for both industrial and HVAC fields of application.
PME-E Open-Circuit Evaporative Cooling Tower
A light and non-corrodible open-circuit evaporative cooling tower: process industry and HVAC operators will be able to count on its multiple versions and ease of transport and installation.
MITA Control System
MITA Control System allows programming and modulating cooler’s performances during its use in a very simple way. Electricity consumption optimization is granted.