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Entropy generation and its role on exergy destruction and efficient thermal management in renewable energy systems

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Abstract

The internal combustion engines lead to utilize the produced energy for useful work. The loss in the energy reduces the efficiency of the engine. The entropy generation causes exergy destruction. Therefore, the computational analysis is essential for understanding the behavior of entropy generation and its influence on exergy. In the analysis of exergy, the Levenberg–Marquardt nonlinear algorithm is used for training the artificial neural network. The ammonia is added to the combustion model to improve efficiency of internal combustion engine. The computational domain contains internal obstacles that create zones requiring a finite yield stress to initiate flow. Accordingly, the Casson model is integrated into the momentum equation to capture the non-Newtonian viscous effects characteristic of ammonia combustion under these conditions. The model contains the thermal energy analysis with the help of Fourier’s heat flux. The entropy generation is modeled to understand the turbulent behavior of cooling and heating along with momentum conservation. The analysis further includes addition of ammonia to control the entropy generation and improve exergy. Therefore, the proposed model focuses on the efficacy of internal combustion engine and their implications for sustainable energy applications. computational channel with internal obstacles. The simulation of the model is made in OpenFOAM (Open-source Field Operation And Manipulation). The finite volume method (FVM) is demonstrated for computing the solution of the model to accurately predict heat flow and wall shear stress. Additionally, it is revealed that Casson fluid significantly enhances exergy through yield stress mechanisms, which affect flow characteristics compared to Newtonian fluids. The analysis shows that proposed model achieves higher thermal absorption and improved exergy efficiency. These findings demonstrate the potential of yield-stress materials for improving energy-system efficiency through optimized flow and thermal transport.

Original languageEnglish
Article number112627
JournalInternational Communications in Heat and Mass Transfer
Volume180
DOIs
StatePublished - Nov 2026

Bibliographical note

Publisher Copyright:
© 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

Keywords

  • Ammonia
  • Combustion engine
  • Entropy generation
  • Exergy
  • Yield-stress

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • General Chemical Engineering
  • Condensed Matter Physics

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