Prediction and identification of the evolution of solar-heated hot water temperature in a stratified tank in static mode using artificial neural networks


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The results of analyses of thermal stratification using different initial water temperature profiles are reported and discussed. Stratification proved to be the main factor in the cooling process, since although ambient temperature is also a determining factor, in this case it played a lesser role because the tank’s location inside the laboratory meant that it remained almost constant.

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F. Diez

Department of Forest and Agricultural Engineering

编辑信件的主要联系方式.
Email: x5pino@yahoo.es
西班牙, Madrid

L. Navas

Department of Forest and Agricultural Engineering

Email: x5pino@yahoo.es
西班牙, Madrid

A. Martínez

Department of Forest and Agricultural Engineering

Email: x5pino@yahoo.es
西班牙, Madrid

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