![]() Detailed measurements collected during the model test coupled with CFD provide good means to assess what went wrong. If a lack of performance shows up during the model test phase, such as a narrower operating range and/or a lower efficiency, then the stage needs to be redesigned in part. This is very important because the prediction tool is calibrated based on the tests and then applied to compute the performance of the interpolated stages. Performance of “masters” (which represent the nodes of the grid) are stored in the database after a validation process based on scale model tests coupled with a prediction tool (1D simplified model and /or CFD based routines). ![]() This gives the best compromise between flexibility and complexity of the database. The optimum has been found in GE Oil & Gas in the so-called “continuos interpolated” database structure which is based on a limited number of stages (defined by means of a parametric 3D-CAD based design), and a very robust interpolating system to create any stages inside the grid. The final rule also adopts certain modifications and additions to ISO 1217:2009(E) to increase the specificity of certain testing methods established in ISO 1217:2009(E) and improve the repeatability of tested and measured values.Database efficiency is defined based on the balance between the database complexity and the number of corrections needed to go from database to actual conditions. This program establishes new test procedures including definitions on required sampling, representation, and enforcement provisions. To this end, Quincy has decided to be an early adopter and is the first in the industry to test and publish according to the United States DOE Energy Conservation Standards for Air Compressors. Quincy Compressor is continuously looking for opportunities to provide our customers and potential customers with the industry’s most transparent testing and publishing standards.
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