使用SATACOM使用Annona生物柴油驱动的压缩点火发动机的功率因数增加的ML技术
ArunKumar Munimathan1, Silambarasan Rajendran2, Abhishek Kumar Tripathi3
1Department of Mechatronics Engineering, Hindusthan College of Engineering and Technology, Coimbatore, 641032, India. mrarunapdpi@gmail.com.
Scientific reports
|April 5, 2025
概括
当通过机器学习和STATCOM技术进行优化时,Annona生物柴油为压缩点火发动机提供了可行的替代燃料,减少噪音和振动,同时提高动力质量.
科学领域:
- 可持续能源 可持续能源
- 机械工程 机械工程
- 电气工程 电气工程
背景情况:
- 压缩点火 (CI) 发动机需要环保的替代燃料,推动全球生物柴油生产.
- 安诺纳生物柴油为CI发动机提供了潜在的可再生燃料来源.
- 提高功率质量和减少排放对于现代发动机运行至关重要.
研究的目的:
- 调查安诺纳生物柴油与柴油 (B20) 混合在CI发动机中的性能.
- 评估机器学习 (ML) 和静态同步补偿器 (STATCOM) 技术对发动机性能,功率质量,噪声和振动的综合影响.
- 通过先进的优化技术,评估Annona生物柴油作为替代燃料的适用性.
主要方法:
- 发动机性能测试在柴油和B20 Annona生物柴油上进行,其发动机转速范围为1200-2400 RPM.
- 实施了STATCOM技术,以提高功率因子和减少电流波,从而提高功率质量.
- 机器学习模型,包括多线性回归和支持向量机,用于分析性能数据和优化参数.
主要成果:
- 与标准柴油燃料 (21.1 m/s2) 相比,B20混合物显示发动机振动 (16.8 m/s2) 和噪声排放减少.
- STATCOM有效地提高了功率因子和减少了电流波,提高了整体功率质量.
- 多重线性回归模型在预测发动机参数方面显示出高精度 (R2分数为0.883和0.947),而支持矢量机则产生平均精度 (R2为0.722).
结论:
- 通过ML和STATCOM优化的Annona生物柴油是CI发动机的一个有前途的替代燃料.
- 结合的技术显著提高功率质量,减少发动机噪音,减少振动.
- 这项研究证实了可持续燃料替代品在提高发动机效率和环境性能方面的潜力.
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