engleski

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

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.

solar collector; thermoysphon circulation; identification; neural network

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