Predictive Emissions Monitoring Systems (PEMS) are used to monitor the emissions of operating plants without continual measurement of the emissions. When using a PEMS, readily measured parameters are fed into a computer program which accurately predicts emissions. The analytical ability of such a program could be used to inform an engine control system. The primary aim of the present project is to interface a real time computer model for NO(x) emissions with operating engines. The core computer model, which can predict NO(x) emissions from an operating engine, in real time on a standard PC, has been developed. The model uses chemical kinetics and a unique method for calculating the rate of dilution of the burnt gases by unburnt air, during NO(x) formation in the combustion chamber. The chemical kinetics scheme for NO(x) includes the extended Zeldovich mechanism and a set of reactions involving nitrous oxide. The addition of nitrous oxide reactions to the extended Zeldovich mechanism increases predicted NO(x) by up to 15 %. Conversion of fuel nitrogen to NO(x) is not included in the model but a brief analysis of the governing chemical kinetics is made. The kinetics model runs within a zero dimensional thermodynamic model for the combustion process. The model is calibrated to a particular engine by simultaneously measuring, in detail, engine data and NO(x) emissions. The matching process is automated. Once calibrated, the model will predict NO(x) emissions when supplied with a limited set of data, which are normally available from an operational engine. To apply the model at any load, the calibration parameters are interpolated using load index. The model is applied to indicative test data for two MAN B&W IMO NO(x) compliant slow speed engines. Onboard emissions measurements are used to calibrate the model for an operational Sulzer RTA52 slow speed engine.
Predictive monitoring system for oxides of nitrogen emissions from marine diesel engines
Prädiktives Überwachungssystem für die Stickoxid-Emissionen von Schiffsdieselmotoren
2004
10 Seiten, 4 Bilder, 32 Quellen
Aufsatz (Konferenz)
Datenträger
Englisch
Predictive monitoring system for oxides of nitrogen emissions from marine diesel engines
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