Abstract
Compact models of NOx and CO emissions of a small gas turbine power plant are discussed, to be used in a plant simulator; the models are based either on semiempirical correlations or neural networks. Experimental data collected during five months of operation are used to calibrate and validate the models. The results obtained with the different models are shown: semi-empirical correlations fail to accurately describe the observed emissions, while neural-network based models perform well, provided their structure is carefully selected.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
