| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 645513 | Applied Thermal Engineering | 2015 | 10 Pages |
Abstract
Furthermore, frequency histograms to represent the variability of the energy performance of the refrigeration system were estimated and analyzed. Computer simulations employing neural networks were used to understand the energy performance behavior, and observe the best performance of the installation. In the same way, these simulations were used to statistically analyze the variability of the energy performance.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Fluid Flow and Transfer Processes
Authors
J.M. Belman-Flores, Sergio Ledesma,