V TİPİ HAVALI BİR GÜNEŞ KOLEKTÖRÜNÜN ISIL PERFORMANSININ DENEYSEL OLARAK İNCELENMESİ VE YAPAY SİNİR AĞLARI İLE MODELLENMESİ

Year 2021, , 1212 - 1223, 20.12.2021

Doğan Burak Saydam , Kamil Neyfel Çerçi , Ertaç Hürdoğan

https://doi.org/10.21923/jesd.935201

Cited By: 2

Abstract

Bu çalışmada, V tipi emici plaka yüzey geometrisine sahip çift geçişli havalı bir güneş kolektörü tasarlanarak imal edilmiş ve kolektörün performansı Osmaniye ili iklim koşullarında deneysel olarak incelenmiştir. Deney düzeneğinde sıcaklık, nem, ışınım ve hava hızı gibi farklı parametreler ölçülmüş ve elde edilen veriler kullanılarak termodinamiğin birinci yasasına göre kolektörün enerji analizi yapılmıştır. Çalışmada ayrıca deneysel olarak elde edilen kolektör çıkış sıcaklığı, üç farklı Yapay Sinir Ağı modeli kullanılarak tahmin edilmiştir. Çalışma sonucunda kolektör giriş ve çıkış sıcaklığı arasında maksimum 36,07°C’lik bir fark olduğu tespit edilmiştir. Isıl verim deney süresince maksimum %71,42 değerine ulaşmış ve ortalama ısıl verim ise %56,21 olarak hesaplanmıştır. Çıkış sıcaklığının tahminlenmesi için oluşturulan her üç model (YSA-1,2,3) için de yakınsamanın çok iyi olduğu fakat LevenbergMarquardt eğitim algoritmasının kullanıldığı YSA-1 modelinin diğer modellere göre deneysel sonuçların tahmininde daha etkili olduğu tespit edilmiştir. Tahminlenen kolektör çıkış sıcaklığı değerleri kullanılarak hesaplanan kolektör ısıl verimi, deneysel verilerle hesaplanan ısıl verim ile uyum içerisindedir.

Keywords

Havalı Güneş Kolektörü, V tipi, Isıl Verim, Tahminleme, Yapay Sinir Ağları

Supporting Institution

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Project Number

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Thanks

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INVESTIGATION OF THERMAL PERFORMANCE OF V TYPE SOLAR AIR COLLECTOR AND MODELING USING ARTIFICIAL NEURAL NETWORKS

Abstract

A double pass air solar collector with V type absorber plate surface geometry was designed and manufactured in this study. The performance of the collector was experimentally investigated in the climatic conditions of Osmaniye. In the experimental setup, different parameters such as temperature, humidity, radiation, and air velocity were measured. The energy analysis of the collector was made according to the first law of thermodynamics using the obtained data. In addition, the experimentally obtained collector outlet temperature was estimated using three different Artificial Neural Network models. As a result of the study, it was determined that there is a temperature difference between the collector inlet and outlet with maximum value of 36,07 °C. Thermal efficiency reached a maximum value of 71,42% during the experiment, and the average thermal efficiency was calculated as 56.21%. It was determined that the convergence was very good for all three models (ANN-1,2,3) created to predict the outlet temperature but, the ANN-1 model, which use LevenbergMarquardt training algorithm, was more effective in predicting the experimental results compared to the other models. The collector thermal efficiency calculated using the estimated collector outlet temperature values follows the thermal efficiency calculated with experimental data.

Keywords

Solar Air Collector, V type, Thermal Efficiency, Estimation, Artificial Neural Networks

Project Number

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