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Cognitive tools for enhancing sustainability in liquid fuel and internal combustion engine development

Author

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  • Olga Orynycz

    (Faculty of Engineering Management, Bialystok University of Technology)

Abstract

This paper reviews the literature on cognitive tools applied in developing internal combustion engines (ICE) and liquid fuels, focusing on modeling, simulation, data collection, and AI applications. Methods include 0D and 1D models, 3D-CFD (Computational Fluid Dynamics) simulations, real-world calculations, advanced data acquisition, and AI frameworks. Results indicate that these tools enhance development efficiency, reduce environmental impact, and promote sustainable technologies. The conclusion highlights the transformative potential of cognitive tools for sustainable mobility solutions.

Suggested Citation

  • Olga Orynycz, 2024. "Cognitive tools for enhancing sustainability in liquid fuel and internal combustion engine development," Cognitive Sustainability, Cognitive Sustainability Ltd., vol. 3(4), pages 25-29, December.
  • Handle: RePEc:bcy:issued:cognitivesustainability:v:3:y:2024:i:4:p:25-29
    DOI: 10.55343/CogSust.135
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    More about this item

    Keywords

    cognitive tools; sustainability; mobility; liquid fuels; internal combustion engine;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment

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