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

Künye