Exergy Assessment of Single Stage Solar Adsorption Refrigeration System Using ANN
Joint Authors
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-09-25
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
A new approach based on artificial intelligence is proposed here for the exergy assessment of solar adsorption refrigeration system working with activated carbon-methanol pair.
Artificial neural network model is used for the prediction of exergy destruction and exergy efficiency of each component of the system.
Pressure, temperature and solar insolation are used as input variables for developing the artificial neural network model.
The back propagation algorithm with three different variants such as CGP, SCG and LM are used in the network A and network B.
The most suitable algorithm and the number of neurons in hidden layer are found as LM with 9 for network A and SCG with 17 for the Network B.
The artificial neural network predicted results are compared with the calculated values of exergy destruction and exergy efficiency.
The R2 values of the exergy destruction and exergy efficiency of components (condenser, expansion device, evaporator, adsorbent bed, solar concentrator and overall system) are found to be close to 1.
The RMS and COV values are found to be very low in all cases.
The comparison of the results suggests that the artificial neural network provided results are within the acceptable range.
American Psychological Association (APA)
Baiju, V.& Muraleedharan, C.. 2012. Exergy Assessment of Single Stage Solar Adsorption Refrigeration System Using ANN. ISRN Mechanical Engineering،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-507737
Modern Language Association (MLA)
Baiju, V.& Muraleedharan, C.. Exergy Assessment of Single Stage Solar Adsorption Refrigeration System Using ANN. ISRN Mechanical Engineering No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-507737
American Medical Association (AMA)
Baiju, V.& Muraleedharan, C.. Exergy Assessment of Single Stage Solar Adsorption Refrigeration System Using ANN. ISRN Mechanical Engineering. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-507737
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507737