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    Enhancing Diesel Engine Performance with Different Concentrations of Copper Oxide Nanoparticles in Biodiesel Blends
    (International Information and Engineering Technology Association, 2024) Akroot, A.; Kareem, S.; Alfaris, A.; Bdaiwi, M.
    This study explores the impact of adding copper oxide (CuO) nanoparticles to biodiesel derived from sunflower oil on the performance of a diesel engine. Various concentrations of CuO nanoparticles were tested. Using a Korean-origin KiaBongo2701 Model 12 diesel engine, seven fuel types were examined, including pure diesel and biodiesel blends with different ratios. The effects of these blends and the performance of CuO nanoparticle additives were evaluated at various speeds and loads. Both mechanical mixing and ultrasonic devices were employed to prepare the fuel blends for comparison. Copper oxide nanoparticles significantly enhanced the performance of the D85B15 fuel blend, narrowing the performance gap with pure diesel. The results demonstrated that increasing the nanoparticle concentration led to a marked improvement in thermal efficiency at 1600 RPM, with D85B15PPM50 showing a 4.63% increase, D85B15PPM75 achieving a 6.41% improvement, and D85B15PPM100 experiencing a 7.54% boost. Diesel-like performance was attained using D85B15PPM100. D85B15's reduced calorific value raised fuel consumption, but nanoparticle integration improved brake-specific fuel consumption, especially at full load with 100 ppm copper oxide. The emissions tests showed that biodiesel blends containing nanoparticles produced less carbon monoxide and nitrogen oxides than the basic mix, reducing environmental impact. At the highest concentration (100 ppm), nanoparticles virtually equaled pure diesel performance, suggesting a way to produce biodiesel with equivalent performance and reduced environmental effects. These findings demonstrate the potential of nanoparticle additions to bridge the performance gap between biodiesel and conventional diesel and make biodiesel usage in diesel engines more sustainable and efficient. Copyright: ©2024 The authors.
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    NUMERICAL ANALYSIS OF THE STEAM TURBINE PERFORMANCE IN POWER STATION WITH A LOW POWER CYCLE
    (Taylor's University, 2023) Bdaiwi, M.; Akroot, A.; Wahhab, H.A.A.; Mahariq, I.
    In this paper, an analysis of the temperature and quantity balance of the thermal power plant for the Al-Dura (K-160-13.34-0.0068) station was first studied and used for reference. This work describes a possible way to build a simulation model of the most important parts of power plant Al-Dura (K-160-13.34-0.0068). The Cycle-Tempo and MATLAB/Simulink packages are used to model the energetic and exergetic analysis of the power plant. MATLAB/Simulink software was used to simulate the behaviour of a Steam turbine with high-pressure, intermediate-pressure, and low-pressure steam, with a load response in a stable circumstance over a range of 50% to 100%. The model is based on "Stodol's law" and simulates the pressure and enthalpy alongside the dissimilar turbine phases and the vapor and water extraction. The effect of the vapor and water extraction on the turbine is also elucidated. Areas of essential energy loss and exergy decimation will be resolved. The impact of changing the power plant load on the exergy analysis is determined. The response of suggested purposes to estimate these vapor properties is compared with standard data and showed high accuracy (the modelling error is less than 0.01%). © 2023 Taylor's University. All rights reserved.