Solar absorption chiller performance prediction based on the selection of principal component analysis
In this paper, a method to predict the performance of an absorption chiller using solar thermal collectors as the energy input is analyzed rigorously. Artificial Neural Network (ANN) is developed based on experimental data to predict the performance of the solar absorption chiller system at Universi...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019-03-01
|
| Series: | Case Studies in Thermal Engineering |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X18303101 |