Naslov
Modelling Of Solar Collector Process With Thermosyphon Circulation Using Neural Networks

Autori
Bolf, Nenad ; Blažina, Alfred

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Artificial Inteligence in Control and Measurement / Jirsik, V. - Brno : Brno University of Technology, 2000, 7-12

Skup
International Summer School Artificial Inteligence in Control and Measurement

Mjesto i datum
Brno, Češka Republika, 21.08.2000. - 01.09.2000

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
solar collector; identification; neural networks; termosyphon circulation

Sažetak
The heat exchange and accumulation process in the natural flow solar collector has been studied and its model has been derived. Using the model, the parameter influence simulation has been performed and the basic perceptions of the thermosyphon natural flow have been derived. Experimental researches based on theoretical findings and simulation researches on transient phenomena have been planned and undertaken on the laboratory solar collector. Particular attention was paid to the study of the modification of characteristic parameter influence on the system heat accumulation. The undertaken experimental researches served as a base for investigating the application of neural network, having the purpose in its utilization during the solar collector process description and identification. The mode of determination collector efficiency supported by neural network has also been analyzed.

Izvorni jezik
Engleski

Znanstvena područja
Kemijsko inženjerstvo

POVEZANOST RADA