Nanoparticles and Machine Learning Drive Energy Efficiency Enhancement and Emission Reduction in Diesel Engines

A team of researchers has made a groundbreaking discovery in the field of nanotechnology by developing a novel approach to enhance energy efficiency and reduce emissions in diesel engines. The study, led by Saravanakumar Sengottaiyan and published in the International Journal of Energy Research, demonstrates the effectiveness of combining response surface methodology (RSM) and machine learning (ML) to optimize diesel engine performance.

Using pumpkin seed oil-based biodiesel blended with cerium oxide (CeO2) nanoparticles, the researchers developed a predictive model that can maximize engine performance and minimize emissions of carbon monoxide (CO), hydrocarbon (HC), nitrogen oxide (NOx), and smoke opacity. The optimal blend, which achieved a brake thermal efficiency (BTE) of 24.99% with minimal emissions, was found to be 18.32% biodiesel, 63.84% engine load, and 48.55 ppm CeO2.

Key Takeaways:

• The study demonstrates the effectiveness of combining RSM and ML to optimize diesel engine performance and minimize emissions.
• The optimal blend achieved a brake thermal efficiency (BTE) of 24.99% with minimal emissions.
• Carbon dioxide emissions were reduced by 18.32% using the pumpkin seed oil-based biodiesel blended with CeO2 nanoparticles.
• The study suggests that the use of ML-driven energy efficiency enhancement can lead to reduced emissions and improved engine performance.
• The Faculty of Engineering and Technology at Male, Maldives was involved in the research.
• Additional authors contributing to the study include V. S. Shaisundaram, Raji Gunasekaran, S. Kumaravel, and M. Chandrasekaran.

Statistics:

• 18.32% - The optimal percentage of biodiesel in the blend to achieve the highest brake thermal efficiency (BTE).
• 24.99% - The brake thermal efficiency achieved by the optimal blend.
• 63.84% - The optimal engine load to achieve the highest brake thermal efficiency (BTE).
• 48.55 ppm - The optimal concentration of CeO2 nanoparticles in the blend.
• 18.32% - The reduction in carbon dioxide emissions achieved using the pumpkin seed oil-based biodiesel blended with CeO2 nanoparticles.

Sources:

• International Journal of Energy Research, 2025;2025(1)
• "Machine Learning-driven Energy Efficiency Enhancement and Emission Reduction In Diesel Engines Using Pumpkin Seed Biodiesel Blends and CeO2 Nanoparticles"
• Wiley, 111 River St, Hoboken 07030-5774, NJ, USA
• Faculty of Engineering and Technology, Villa Coll, Male 20002, Maldives