Title: Application of artificial neural network model for forecast energy efficiency of the cryogenic liquefaction system in the meaning of sustainability

Authors: Elif Altintas; Mert Tolon; Arif Karabuga; Zafer Utlu

Addresses: Department of Software Engineering, Haliç University, Istanbul, Turkey ' Department of Civil Engineering, Istanbul Gedik University, Istanbul, Turkey ' Sustainable Energy Systems Application and Research Center, Haliç University, Istanbul, Turkey ' Department of Mechanical Engineering, Haliç University, Istanbul, Turkey

Abstract: 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.

Keywords: sustainability; sustainable engineering approach; thermodynamic analysis; cryogenic liquefaction system; artificial neural networks; ANNs.

DOI: 10.1504/IJGW.2021.10039776

International Journal of Global Warming, 2021 Vol.24 No.3/4, pp.420 - 444

Accepted: 16 Feb 2021
Published online: 21 Jul 2021 *

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