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Toplam kayıt 16, listelenen: 1-10
A new approach to thermodynamic analysis of ejector-absorption cycle: artificial neural networks
(Pergamon-Elsevier Science Ltd, 2003)
Thermodynamic analysis of absorption thermal systems is too complex because of analytic functions calculating the thermodynamic properties of fluid couples involving the solution of complex differential equations. To ...
A study for estimating solar resources in Turkey using artificial neural networks
(Taylor & Francis Inc, 2004)
Turkey has sufficient solar radiation and radiation period for solar thermal applications since it lies in a sunny belt between 36degrees and 42degreesN latitudes. The yearly average solar radiation is 3.6 kWh/m(2) day, ...
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 ...
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) ...
Performance prediction of a vapour-compression heat-pump
(Elsevier Sci Ltd, 2004)
The performance of the heat pump was predicted using a fuzzy-logic controller under various working-conditions and mixing ratios of R12/R22 refrigerant mixtures, instead of requiring an expensive and time consuming ...
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 ...
Solar-energy potential in Turkey
(Elsevier Sci Ltd, 2005)
In this study, a new formula based on meteorological and geographical data was developed to determine the solar-energy potential in Turkey using artificial neural-networks (ANNs). Scaled conjugate gradient (SCG) and ...
A classification mechanism for determining average wind speed and power in several regions of Turkey using artificial neural networks
(Pergamon-Elsevier Science Ltd, 2005)
In this paper, average wind speed and wind power values are estimated using artificial neural networks (ANNs) in seven regions of Turkey. To start with, a network has been set up, and trained with the data set obtained ...
Performance maps of a diesel engine
(Elsevier Sci Ltd, 2005)
This paper suggests a mechanism for determining the constant specific-fuel consumption curves of a diesel engine using artificial neural-networks (ANNs). In addition, fuel-air equivalence ratio and exhaust temperature ...
An algorithmic approach towards finding better refrigerant substitutes of CFCs in terms of the second law of thermodynamics
(Pergamon-Elsevier Science Ltd, 2005)
In this study, rational efficiency (RE) and component based irreversibility ratios of a cooling system based on the second law of thermodynamics using HFC and HC based pure refrigerants, such as, R32, R125, R134a, R143a, ...