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I-Data Cool
Advanced Selection & Energy Analysis for Data Center Cooling Systems
I-Data Cool is a web-based software solution designed for HVAC professionals to select, analyze, and compare CLOSE CONTROL cooling units used in technological environments such as DATA CENTERS and telecom rooms.
I-Data Cool manages and evaluates several types of HVAC close control systems:
Select the optimal close control unit for your application- including standard systems and energy-efficient free cooling variants.
Once units are selected, the software provides annual energy consumption diagrams based on geographic parameters like country and climate. This makes it easy to visualize and compare performance over a full year.
The software generates EER efficiency diagrams, showing how unit energy efficiency varies with temperature, allowing users to evaluate and compare unit performance accurately.
Smart Seasonal Cooling Logic
Free cooling options reduce refrigeration demand during colder months by using outside air whenever possible- resulting in significant energy savings.
Side-by-Side Unit Comparison
Compare the energy efficiency of two different units easily using visual charts-a great tool for design decisions and client presentations.
Energetic Analisys, graphs for climate data and energy efficiency
Selection of data center cooling unit with free cooling option
This is smart energy saving because allows annual refrigeration, but in the colder months the air passing through the fan is taken from outside. The temperature is further lowered if it is not the required one, or it is left unchanged if it meets the necessary conditions. This allows for large energy savings.
This data can be viewed conveniently in the section Frequency temperature.
After selecting the data, including the country, the diagram shows the energy consumption during the year.
The EER diagram show the energy efficiency index. The lower the temperature, the more effective the energy efficiency. The higher the temperature, the less functional the energy efficiency will be.
We can also compare two units, for example:
Selection of data center cooling unit with water condenser
And compare their energy efficiency:
Energetic Analisys, graphs for climate data and energy consumption
HVAC Designers & Engineers
Data Center Cooling Planners
Technical Sales & Product Selection Teams
The software helps professionals optimize unit selection, evaluate energy performance, and support data-driven cooling design decisions.