Summary
A novel neural network method is put forward to forecast the heat and mass transfer performance of padding equipment in evaporative cooling air conditioning. By using science computation MATLAB software, the paper forecasts the heat and mass transfer identity of several type padding equipment. All the errors between predicted and tested are no more than 5%.
Details
- Original title: A novel method to study on evaporative cooling air-conditioning performance.
- Record ID : 2006-2550
- Languages: English
- Source: Cryogenics and refrigeration. Proceedings of ICCR 2003.
- Publication date: 2003/04/22
Links
See other articles from the proceedings (166)
See the conference proceedings
Indexing
-
Modelling flow boiling heat transfer of pure fl...
- Author(s) : SCALABRIN G., CONDOSTA M., MARCHI P.
- Date : 2006/07
- Languages : English
- Source: International Journal of thermal Sciences - vol. 45 - n. 7
View record
-
An innovative air-conditioning load forecasting...
- Author(s) : YAO Y., LIAN Z., HOU Z., et al.
- Date : 2006/06
- Languages : English
- Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 29 - n. 4
- Formats : PDF
View record
-
Hourly thermal load prediction for the next 24 ...
- Author(s) : KAWASHIMA M., DORGAN C. E., MITCHELL J. W.
- Date : 1995/01
- Languages : English
- Source: ASHRAE Transactions.
View record
-
Performance prediction of wet cooling tower usi...
- Author(s) : GAO M., SUN F. Z., ZHOU S. J.
- Date : 2009/03
- Languages : English
- Source: International Journal of thermal Sciences - vol. 48 - n. 3
View record
-
Application of ANN to explore the potential use...
- Author(s) : AYATA T., ARCAKLIOGLU E., YILDIZ O.
- Date : 2007/01
- Languages : English
- Source: Applied Thermal Engineering - vol. 27 - n. 1
View record