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Compressed air stations will operate at their highest efficiency only when the entire system is perfectly aligned and coordinated. This
is where the BOGE AIReport Equipment comes in handy. The check-up system AIReport serves to detect weaknesses by means of a long-term analysis and to improve compressed air stations in a targeted manner
and on solid facts.
The most important parameter for the efficiency of a compressor station is the energy consumption. How much electricity does the operator need per produced or consumed m³ of
compressed air? Is the production of compressed air limited to no more than is actually needed?
The amount of leakage is another crucial criterion with regard to efficiency. It should be as small as
possible. The same refers to the air pressure drop between compressed air generator and user. The maximum produced pressure should also be as little as possible in order to ensure long term economical
operation. As a matter of fact, it is quite easy to check the piping for pressure losses or for leakages by means of ultrasonic measuring tools, or to analyse screw compressors with regard to uneconomic
idling times.
Most efficient, however, is measuring by means of the AIReport. Measuring over a period of several production days (approx. 1 week) will give you information about the ideal and
economically most profitable combination of compressors - "customized air handling" so to speak. At the same time, additional information is provided as to the mode of operation at one's own
facility along with details on how to possibly optimize working processes.
Compressed air is a flexible and versatile working medium. Many types of work would be impossible to be carried out without
compressed air. And, generally speaking, compressed air is worth its money. All you have to do is to consequently make use of the savings potential which lies concealed in the overall compressor station.
The approximately 60,000 compressor stations in Germany annually consume 14 billions (milliards) kWh of electricity. This corresponds to 5 % of the electric power consumption of the entire industry
(source: Fraunhofer Institut für System- und Innovationsforschung ISI). The existing immense energy savings potential is estimated to be around 30 %!
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