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Formulation based on artificial neural network of thermodynamic properties of ozone friendly refrigerant/absorbent couples
(Pergamon-Elsevier Science Ltd, 2005)
This paper presents a new approach based on artificial neural networks (ANNs) to determine the properties of liquid and two phase boiling and condensing of two alternative refrigerant/absorbent couples (methanol/LiBr and ...
Forecasting based on neural network approach of solar potential in Turkey
(Pergamon-Elsevier Science Ltd, 2005)
As Turkey lies near the sunny belt between 36 and 42 degrees N latitudes, most of the locations in Turkey receive abundant solar energy. Average annual temperature is 18-20 degrees C on the south coast, falls down to 14-16 ...
Solar potential in Turkey
(Elsevier Sci Ltd, 2005)
Most of the locations in Turkey receive abundant solar-energy, because Turkey lies in a sunny belt between 36degrees and 42 degreesN latitudes. Average annual temperature is 18 to 20 degreesC on the south coast, falls to ...
Estimation of solar potential in Turkey by artificial neural networks using meteorological and geographical data
(Pergamon-Elsevier Science Ltd, 2004)
Turkey is located at the Mediterranean at 36degrees and 42degrees N latitudes and has a typical Mediterranean climate. The solar energy potential is very high in Turkey. The yearly average solar radiation is 3.6 kW h/m(2) ...
Investigation of thermodynamic properties of refrigerant/absorbent couples using artificial neural networks
(Elsevier Science Sa, 2004)
This paper presents a new approach to determine the properties of liquid and two phase boiling and condensing of two alternative refrigerant/absorbent couples (methanol-LiBr and methanol-LiCl), which do not cause ozone ...