PERFORMANCE PREDICTIONS OF AIR-COOLED CONDENSERS HAVING CIRCULAR AND ELLIPTIC CROSS-SECTIONS WITH ARTIFICIAL NEURAL NETWORKS

Fatih SELİMEFENDİGİL

doi:https://doi.org/10.18186/thermal.539967

Makale detayları

PERFORMANCE PREDICTIONS OF AIR-COOLED CONDENSERS HAVING CIRCULAR AND ELLIPTIC CROSS-SECTIONS WITH ARTIFICIAL NEURAL NETWORKS

Yazarlar:

Fatih SELİMEFENDİGİL

Yayıncı:

Yildiz Technical University

Dergi:

Journal of Thermal Engineering 2019 Vol.5 Issue 3, pp.105-114

Belge Tipi:

Makale

Yayın Tarihi:

3/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000505947

Sıklık:

İki Aylık

eISSN:

2148-7847

DOI:

https://doi.org/10.18186/thermal.539967

Özet:

 


In this study, mathematical
models of air cooled condensers with circular and elliptic cross-sections were
developed and performances were evaluated with artificial neural networks. Air
velocity, orientation angle and ambient temperature were used as the input to
the neural network structure while heat transfer rate to the air was used as
the output. The data sets were generated from high fidelity, computationally
inefficient expensive three dimensional computational fluid dynamics
simulations. It was observed that artificial neural network model replaces
computational fluid dynamics model and based on the mathematical model with
artificial neural network, elliptic condensers perform better in terms of heat
transfer compared to circular ones.

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Makale detayları

PERFORMANCE PREDICTIONS OF AIR-COOLED CONDENSERS HAVING CIRCULAR AND ELLIPTIC CROSS-SECTIONS WITH ARTIFICIAL NEURAL NETWORKS

Yazarlar: Fatih SELİMEFENDİGİL

Yayıncı: Yildiz Technical University

Dergi: Journal of Thermal Engineering 2019 Vol.5 Issue 3, pp.105-114

Belge Tipi: Makale

Yayın Tarihi: 3/2019

Belge Dili: İngilizce

Document ID (Org No.): 2000505947

Sıklık: İki Aylık

eISSN: 2148-7847

DOI: https://doi.org/10.18186/thermal.539967

Sayı

Yazarlar:

Fatih SELİMEFENDİGİL

Yayıncı:

Yildiz Technical University

Dergi:

Journal of Thermal Engineering 2019 Vol.5 Issue 3, pp.105-114

Belge Tipi:

Makale

Yayın Tarihi:

3/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000505947

Sıklık:

İki Aylık

eISSN:

2148-7847

DOI:

https://doi.org/10.18186/thermal.539967