Modeling and optimization of performance and emission parameters of a diesel engine: A comparative evaluation between date seed oil biodiesel produced via three different heating systems. (1st May 2023)

• Record Type: Journal Article
• Authors: Allami, Hassanian Abdolkarim; Tabasizadeh, Mohammad; Rohani, Abbas; Nayebzadeh, Hamed; Farzad, Abdolali; Hoseinpour, Marziyeh
• Is Part Of: Energy conversion and management. Volume 283(2023)
• Publication Date: 2023-05-01
• Subjects: Date seed oil biodiesel -- Conventional heating system -- Microwave -- Ultrasonic -- Multi linear regression -- Genetic algorithm; Direct energy conversion -- Periodicals; Energy storage -- Periodicals; Energy transfer -- Periodicals; Énergie -- Conversion directe -- Périodiques; Direct energy conversion; Periodicals; 621.3105
• DOI: 10.1016/j.enconman.2023.116909
• Languages: English
• ISSNs: 0196-8904

Abstract

Highlights: Date seed oil biodiesel is produced under ultrasonic, microwave and conventional systems. Multi-linear regression and genetic algorithm methods are used to model performance and emission parameter. Technologies used in the biodiesel production process have a noticeable effect on the response of performance and exhaust emission. The optimal biodiesel blending was between 11%-%13, %13-%19, and %17-%20 for microwave, ultrasonic, and conventional production method. DSO biodiesel produced via microwave irradiation can remarkably reduce exhaust emissions, especially HC, CO, and NOx compared to ultrasonic and conventional heating systems. Abstract: In this study, the performance of a diesel engine fueled with date seed oil (DSO) biodiesel, produced under microwave, ultrasonic and conventional heating system, is investigated by experimental and statistical methods. The multi-linear regressions (MLR) were developed using the percentage of biodiesel in fuel and the engine speeds (as independent variables) and the power, torque, and SFC and CO, CO2, HC, O2, and NOx emissions (as dependent variables). Then, the best-fitted regression model was used for analyzing the response surface of the performance parameters, and finding the optimal values of biodiesel blending percentages using genetic algorithm (GA) approaches at different engine speeds. Finally, the engine performance parameters were assessed when the engine is fueled with these optimal blending for three types of biodiesel. The results showed that technologies used in the biodiesel production would have a noticeable effect on the response of engine performance, however, the response surface of exhaust emission follows roughly the same trend with different slope and curvature. Moreover, optimization indicated that the optimal percentage of DSO biodiesel at different speeds was between 11%-%13, %13-%19, and %17-%20 for microwave, ultrasonic, and conventional production method, respectively. Subsequently, when the engine is fueled with the optimal blending of biodiesel at every engine speed, biodiesel produced via an alternative heating system can significantly improve the engine performance and reduce exhaust emissions, especially HC, CO, and NOx by microwave-assisted produced biodiesel.