NDLI: Development of an artificial neural network model for combined heat and power micro gas turbines

Content Provider	IEEE Xplore Digital Library
Author	Nikpey, H. Assadi, M. Breuhaus, P.
Copyright Year	2012
Description	Author affiliation: Department of Energy, International Research Institute of Stavanger (IRIS), Stavanger, Norway (Breuhaus, P.) \|\| Department of Mechanical- and Structural Engineering and Materials Science, University of Stavanger, Stavanger, Norway (Nikpey, H.; Assadi, M.)
Abstract	Micro gas turbines are considered as efficient alternative to costly centralized generation and transmission of electricity, especially in remote areas, and in combined heat and power (CHP) applications. Tools for monitoring and diagnostic, which are easy to apply, would be needed for realization of distributed CHP. This paper reports development of a validated artificial neural network (ANN) for monitoring of a micro gas turbine. This study is based on experimental data obtained from a Turbec T100 micro gas turbine. The gas turbine test rig used in this study consists of a modified engine with extended measurement points, providing extensive data suitable for data-driven modeling. The ANN model developed was based on multilayer feed forward network with back propagation algorithm. The mean relative error (MRE) has been used to evaluate the prediction accuracy of the network. The developed ANN model is validated with unseen experimental data, not used during the training, where very good accuracy was observed.
Starting Page	1
Ending Page	5
File Size	1083167
Page Count	5
File Format	PDF
ISBN	9781467314466
e-ISBN	9781467314480
DOI	10.1109/INISTA.2012.6247045
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-02
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Temperature measurement Measurement ANN Cogeneration Neurons Artificial neural networks Micro gas turbine Modeling Turbines Monitoring
Content Type	Text
Resource Type	Article

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