COMPRESSOR PERFORMANCE ADAPTATION FOR GAS PATH ANALYSIS AND DIAGNOSTICS | ||
| The International Conference on Applied Mechanics and Mechanical Engineering | ||
| Article 127, Volume 13, 13th International Conference on Applied Mechanics and Mechanical Engineering., May 2008, Pages 449-463 PDF (399.25 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/amme.2008.39760 | ||
| Author | ||
| SALAMAT R. | ||
| PhD Researcher, Dept of Power and Propulsion, School of Engineering, Cranfield University, UK, employed at Qatar Petroleum. | ||
| Abstract | ||
| ABSTRACT The importance of reliable engine diagnosis cannot be over emphasized as large revenues are lost due to unplanned shut downs or unnecessary scheduled maintenances. An accurate simulation model must be set up in order to minimize the errors in performance predictions and diagnostics analysis. The objective of the proceeding works is to have a compressor performance simulation model matching the actual site data by a novel method and a model that can be reliably used for performance predictions and diagnostics. In the adaptation process, Scaling Factors (SF) are introduced and then applied to modify the compressor maps. Linear adaptation is applied to single test point while non-linear adaptation is applied to multiple test points. Three site real base cases are available and have been analyzed and evaluated, at 99.6%, 93.0% and 90% RPM. Predictions of compressor performance are compared with the manufacturer’s fleet maps. The prediction accuracy has been improved significantly after the adaptation. Moreover, the proposed adaptation approach could be applied for most situations. | ||
| Keywords | ||
| Compressor; Diagnostics; performance adaptation; site data; Simulation; Compressor Non-Dimensional Flow | ||
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