Application of artificial neural network to exergy performance analysis of coal fired thermal power plant
by Adem Acır
International Journal of Exergy (IJEX), Vol. 12, No. 3, 2013

Abstract: This study presents an artificial neural network (ANN) model to predict the exergy efficiency in a thermal power plant. An ANN model based on back-propagation learning algorithm for prediction of exergy efficiency was developed. In the ANN model, the actual data set includes 27 values, of which 18 values were used for training the network and 9 values, were selected randomly to test the performance of the trained network. Three performance factors, namely, ambient temperature, condenser pressure and steam pressure were considered. ANN has been modelled by 'PHYTICA' software. This study showed that the ANN model is suitable to predict the values of the efficiency performance.

Online publication date: Thu, 23-May-2013

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Exergy (IJEX):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com