Title: Exergy analysis of a cogeneration system through Artificial Neural Network (ANN) method

Authors: Yilmaz Yoru, T. Hikmet Karakoc, Arif Hepbasli

Addresses: Faculty of Engineering, Department of Mechanical Engineering, Osmangazi University, Batimeselik, Eskisehir, Turkey. ' School of Civil Aviation, Anadolu University, Eskisehir, Turkey. ' Faculty of Engineering, Department of Mechanical Engineering, Ege University, Bornova TR-35100, Izmir, Turkey

Abstract: The main objective of this study is to apply the Artificial Neural Network (ANN) method to a cogeneration system, located in Izmir, Turkey, for exergetic evaluation purposes. The data used are based on the actual operational conditions and the results obtained from this system, which was exergetically analysed by the authors. It consists of three turbines with a total capacity of 13 MW, six spray dryers and two heat exchangers. A comparison between the exergy destruction values obtained from exergy analysis calculations and the ANN method is made. Fast ANN (FANN) package (library) has been chosen as an ANN application to implement into the C+ + code named CogeNNExT, which has been written and developed by the authors. From the single output of the ANN (FANN) results, the main exergy destruction rate with 60.96 MW in the exergetic analysis is found to be 61.001 MW with an error of 0.075%. From the two outputs of another ANN result, the mean input and output exergy values are found with errors of 0.438% and 2.211%, respectively.

Keywords: cogeneration; exergy analysis; fast ANNs; artificial neural networks; gas turbines; spray dryers; FANN; Turkey.

DOI: 10.1504/IJEX.2010.031239

International Journal of Exergy, 2010 Vol.7 No.2, pp.178 - 192

Received: 26 Nov 2008
Accepted: 30 Jan 2009
Published online: 26 Jan 2010 *

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