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Field Demonstration of the Benefits of Continuous Engine Performance Monitoring (CEPM) When Applied to Typical Pipeline Engines
Prior PRCI funded projects, beginning in 2008, identified the ability of a Continuous Engine Performance Monitor, (CEPM) to fulfill the likelihood of regulatory acceptance as a compliance alternative to CEMS in future monitoring requirements for typical pipeline engines. This current project installed a CEPM compliance monitoring system on a pipeline engine equipped with a CEMS and assessed the ability of this CEPM system with associated diagnostic instrumentation to detect potential emissions excursions. The implementation of a CEPM system requires a multi-tiered test approach beginning with mapping, also known as the identification of performance parameters by varying control parameters over the range of normal operating conditions. This data is then used to develop engine-type specific mathematical models to characterize the engine behavior. The engine is then given a series of induced extreme conditions simulating potential unhealthy or out of normal operating conditions to determine the outside limits of expected operation. Those models were then tested over 1700 hours to determine their ability to identify these excursions beyond these “performance limits”. Specifically in this project, AFR and combustion “performance indicators”, (TER, PR, balance, stability and BSFC) were used to identify when the engine was not within “performance limits” as determined from the baseline conditions. This testing identified several key conclusions including: 1. Lack of TER control results in a wide range of NOx 2. The limits should be set based on uncertainty, not necessarily +/- error bars. 3. Engine state prior to mapping is essential to identify when operation is at a known, repeatable and optimum condition. 4. A continuous month of operation was more than sufficient for capturing a wide enough range of conditions to validate the CEPM concept. 5. The BSFC model exhibited excellent precision (+/-1%); however the uncertainty in the BHP measurement in the long term data set s
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