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Pregled bibliografske jedinice broj: 65016

Neural Network-Based Model of Solar Collector Process With Thermosyphon Circulation


Bolf, Nenad; Blažina, Alfred; Božičević, Juraj; Caharija, Alojz
Neural Network-Based Model of Solar Collector Process With Thermosyphon Circulation // 14th International Congress of Chemical and Process Engineering, CHISA 2000 / - (ur.).
Prag: Czech Society of Chemical Engineering (CSCHE), 2000. str. CD-ROM (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 65016 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Neural Network-Based Model of Solar Collector Process With Thermosyphon Circulation

Autori
Bolf, Nenad ; Blažina, Alfred ; Božičević, Juraj ; Caharija, Alojz

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

Izvornik
14th International Congress of Chemical and Process Engineering, CHISA 2000 / - Prag : Czech Society of Chemical Engineering (CSCHE), 2000, CD-ROM

Skup
14th International Congress of Chemical and Process Engineering, CHISA 2000

Mjesto i datum
Prag, Češka Republika, 27.08.2000. - 31.08.2000

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
solar collector; thermoysphon circulation; identification; neural network

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


Projekti:
125023

Ustanove:
Fakultet kemijskog inženjerstva i tehnologije, Zagreb

Profili:

Avatar Url Alfred Blažina (autor)

Avatar Url Alojz Caharija (autor)

Avatar Url Nenad Bolf (autor)

Avatar Url Juraj Božičević (autor)


Citiraj ovu publikaciju:

Bolf, Nenad; Blažina, Alfred; Božičević, Juraj; Caharija, Alojz
Neural Network-Based Model of Solar Collector Process With Thermosyphon Circulation // 14th International Congress of Chemical and Process Engineering, CHISA 2000 / - (ur.).
Prag: Czech Society of Chemical Engineering (CSCHE), 2000. str. CD-ROM (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Bolf, N., Blažina, A., Božičević, J. & Caharija, A. (2000) Neural Network-Based Model of Solar Collector Process With Thermosyphon Circulation. U: - (ur.)14th International Congress of Chemical and Process Engineering, CHISA 2000.
@article{article, author = {Bolf, Nenad and Bla\v{z}ina, Alfred and Bo\v{z}i\v{c}evi\'{c}, Juraj and Caharija, Alojz}, year = {2000}, pages = {CD-ROM}, keywords = {solar collector, thermoysphon circulation, identification, neural network}, title = {Neural Network-Based Model of Solar Collector Process With Thermosyphon Circulation}, keyword = {solar collector, thermoysphon circulation, identification, neural network}, publisher = {Czech Society of Chemical Engineering (CSCHE)}, publisherplace = {Prag, \v{C}e\v{s}ka Republika} }
@article{article, author = {Bolf, Nenad and Bla\v{z}ina, Alfred and Bo\v{z}i\v{c}evi\'{c}, Juraj and Caharija, Alojz}, year = {2000}, pages = {CD-ROM}, keywords = {solar collector, thermoysphon circulation, identification, neural network}, title = {Neural Network-Based Model of Solar Collector Process With Thermosyphon Circulation}, keyword = {solar collector, thermoysphon circulation, identification, neural network}, publisher = {Czech Society of Chemical Engineering (CSCHE)}, publisherplace = {Prag, \v{C}e\v{s}ka Republika} }




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