What is Pressure Swing Adsorption Technology?
If you use more than one cylinder of oxygen per week, OGSI can provide an oxygen generator that will pay for itself in less than two years. The generators can be sized for various requirements starting at two standard cubic feet per hour 2 SCFH up to 5000 SCFH.
By connecting the OGSI generator to your air supply (systems with air compressors are available) you can produce oxygen on demand at considerable savings using Pressure Swing Adsorption (PSA) Technology.
The air we breathe contains roughly 78% nitrogen, 21 % oxygen, .9% argon and the balance is other gases. The oxygen is separated from the air using PSA Technology. The process centers around a molecular sieve known as Zeolite.
At high pressures the sieve adsorbs or attracts nitrogen, and at low pressures it desorbs or releases nitrogen. The OGSI generator consists of two tanks filled with sieve. As high pressure air (about 70 psi) is introduced into the first tank, it passes through the sieve and nitrogen is adsorbed. The remaining oxygen and argon are piped to a buffer or storage tank.
Just before the first tank becomes completely saturated with nitrogen, feed air is redirected to the second tank which then repeats the above process. The first tank is then vented to atmosphere which allows the nitrogen to desorb or release from the sieve. To complete the regeneration of the first tank, a small amount of the oxygen is used to purge it. This process is completed over and over again until the demand for oxygen is met. Under normal operating conditions, which includes the use of clean dry air for separation, the sieve will last indefinitely.
Productivity of a PSA generator is dependent on the oxygen purity required. A generator can produce significantly more oxygen at 90% purity than it can at 95.4%, with a relatively small increase in feed air. By means of a PLC or some other micro processor based controller, it is practical on larger generators for the user to change the swing cycles. Purity and flow levels can be selected and optimized based on changing demand variables.