A Comprehensive Review of the GT-POWER for Modelling Diesel Engines

Nhlanhla Khanyi, Freddie Liswaniso Inambao () and Riaan Stopforth
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Nhlanhla Khanyi: Department of Mechanical, School of Engineering, University of KwaZulu-Natal, Durban 4041, South Africa
Freddie Liswaniso Inambao: Department of Mechanical, School of Engineering, University of KwaZulu-Natal, Durban 4041, South Africa
Riaan Stopforth: Department of Mechanical, School of Engineering, University of KwaZulu-Natal, Durban 4041, South Africa

Energies, 2025, vol. 18, issue 8, 1-27

Abstract: The increasing demand for efficient and environmentally friendly diesel engines necessitates advanced simulation tools, with Gamma Technologies’ GT-POWER emerging as a leading software suite for this purpose. This review paper examines the capabilities of GT-POWER for modelling diesel engines, exploring its fundamental principles, user interface, modelling techniques, and simulation capabilities, alongside comparisons with other formidable simulation tools. Moreover, various case studies from the literature are presented to illustrate its application. While there are some shortfalls within the context of GT-POWER, such as the need for further exploration of underutilized areas, the current focus on primarily 1D and multi-zone modelling requires expansion. Coupling GT-POWER with other simulation software for multiphysics analyses—such as CFD for combustion, structural analysis for component stress, fluid flow, and heat transfer—offers significant potential; however, this integration remains largely unexploited. Despite its limitations, the results consistently reveal the software’s versatility in optimizing engine performance across diverse applications, including component design, alternative fuel evaluations, and integration with various technologies such as MATLAB/Simulink, Artificial Neural Networks, and Python. The consistent findings across multiple studies further confirm GT-POWER’s effectiveness as a leading simulation tool for advancing diesel engine technology. Ultimately, this study bridges the gap between theoretical understanding and practical application, making it a valuable resource for researchers and engineers in the field of internal combustion engine optimization.

Keywords: diesel engine; simulation; GT-POWER; modelling; MATLAB; Simulink (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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