Compressed air stations will only work at their highest efficiency level if the entire system is taken into account and harmonised accordingly. The BOGE AIReport equipment is ideally suited to this end. The AIReport check-up system helps to detect weak points during long term monitoring and to effectively improve compressed air systems on the basis of solid know-how and experience. The crucial parameter of the efficiency of a compressor station is its energy consumption. How much energy is needed per generated or used cubic meter of compressed air? Does the system produce only the exact amount of compressed air that is actually needed?
The amount of leakage is an important criterion to determine the efficiency. It should be as small as possible. The same is true for the pressure drop between the compressed air generator and the compressed air user. The highest generated pressure should also be a low as possible in order ensure continued economical operation. Checking for pressure losses in the pipework, leakage detection by means of ultrasonic gauges or monitoring of inefficient idle operation of screw compressors are to be examined without delay – using the AIReport for most effective measurements. Such measurements should be carried out over several production days (approx. 1 week) in order to determine the most efficient operation of the ideal compressor combination – “air according to demand” so to speak. At the same time, additional information is provided on the operation process in your own facility and enabling you to optimise production flows.
Compressed air is a flexible and versatile working medium. Quite a number of works can not operate without the help of compressed air. And compressed air is worth its price. You only have to make sure to rigorously use the saving potentials hidden in the overall system.
There are approximately 60,000 compressed air plants in Germany with an annual energy consumption of 14 billions of kWh.
This corresponds to 5 % of the total industrial energy consumption (source: Fraunhofer Institut für System- und Innovationsforschung ISI [Fraunhofer Institute for Systems and Innovation Research ISI]). The immense saving potential is around 30 %.
