Application of artificial neural network model for forecast energy efficiency of the cryogenic liquefaction system in the meaning of sustainability
Küçük Resim Yok
Tarih
2021
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Inderscience Enterprises Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Sustainable engineering approaches are a necessity for improving efficiency. For this reason, the artificial neural network (ANN) model is used to forecast different types of energy efficiency problems. In this paper, a comparison is made between a simple model based on ANN which gives meaningful findings in terms of thermodynamics and a model that is based on thermodynamic principles as auditing and predicting tool to forecast exergy efficiency of the system by applying different ANN architecture types with 441 data of experimental measurements obtained from liquefied nitrogen and analysed the Engineering Equation Solver (EES) program to make an exergy analysis.
Açıklama
Anahtar Kelimeler
Sustainability, Sustainable Engineering Approach, Thermodynamic Analysis, Cryogenic Liquefaction System, Artificial Neural Networks, ANNs
Kaynak
International Journal of Global Warming
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
24
Sayı
3-4