Yazar "Arcaklioglu, E" için listeleme
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Artificial neural network analysis of heat pumps using refrigerant mixtures
Arcaklioglu, E; Erisen, A; Yilmaz, R (Pergamon-Elsevier Science Ltd, 2004)In this study, we have investigated the performance of a vapor compression heat pump with different ratios of R12/R22 refrigerant mixtures using artificial neural networks (ANN). Experimental studies were completed to ... -
Effect of relative humidity on solar potential
Sozen, A; Arcaklioglu, E (Elsevier Sci Ltd, 2005)In this study, the effect of relative humidity on solar potential is investigated using artificial neural-networks. Two different models are used to train the neural networks. Meteorological and geographical data (latitude, ... -
Estimation of solar potential in Turkey by artificial neural networks using meteorological and geographical data
Sozen, A; Arcaklioglu, E; Ozalp, M (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
Sozen, A; Ozalp, M; Arcaklioglu, E (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 ... -
Performance comparison of CFCs with their substitutes using artificial neural network
Arcaklioglu, E (John Wiley & Sons Ltd, 2004)In order to decrease global pollution due to chlorofluorocarbons (CFCs), the usage of HFC- and HC-based refrigerants and their mixtures are considered instead of CFCs (R12, R22, and R502). This was confirmed by an international ... -
Performance prediction of a vapour-compression heat-pump
Sozen, A; Arcaklioglu, E; Erisen, A; Akcayol, MA (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 ... -
Prospects for utilisation of solar driven ejector-absorption cooling system in Turkey
Sozen, A; Ozalp, M; Arcaklioglu, E (Pergamon-Elsevier Science Ltd, 2004)Solar assisted refrigeration appears to be a promising alternative to the conventional electrical driven units. The main advantages of solar assisted refrigeration systems concern the reduction of peak loads for electricity ... -
Thermodynamic analyses of refrigerant mixtures using artificial neural networks
Arcaklioglu, E; Cavusoglu, A; Erisen, A (Elsevier Sci Ltd, 2004)The aim of this study is to make a contribution towards the efforts of reducing the use of CFCs by finding a drop-in replacement for pure refrigerants used in domestic and industrial appliances. The suggested solution is ... -
Use of artificial neural networks for mapping of solar potential in Turkey
Sozen, A; Arcaklioglu, E; Ozalp, M; Kanit, EG (Elsevier Sci Ltd, 2004)Turkey has sufficient solar radiation intensities and radiation durations for solar thermal applications since Turkey lies in a sunny belt, between 36degrees and 42degrees N latitudes. The yearly average solar-radiation ...
