在与生物柴油生产相关的化合物蒸汽液平衡建模中的参数估计,使用相反的基于点的微分演化算法
1Process Systems Engineering Laboratory, University School of Chemical Technology, Guru Gobind Singh Indraprastha University, Sector 16-C, Dwarka, Delhi, 110078, India.
Environmental science and pollution research international
|October 29, 2024
概括
这项研究通过使用先进的算法改进蒸汽-液体平衡 (VLE) 建模来增强生物柴油生产. OPDE算法和最小平方方法为VLE数据提供更快的融合和准确的参数估计.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 热力学是一种热力学.
- 可持续能源 可持续能源
背景情况:
- 生物柴油是化石燃料的关键替代品,需要高效的分离过程.
- 准确的热力学模型对于预测生物柴油生产中的相位平衡至关重要.
研究的目的:
- 评估差异演化 (DE) 和一个增强的OPDE算法,用于模拟生物柴油系统中的蒸汽-液体平衡 (VLE).
- 为了比较参数估计的经典最小平方 (LS) 和误差变量 (EIV) 方法.
- 展示来自VLE数据集的新发现.
主要方法:
- 应用经典微分演变 (DE) 和OPDE算法.
- 威尔逊,NRTL和UNIFAC热力学模型的参数估计.
- 对LS和EIV数据拟合方法的比较.
主要成果:
- OPDE算法在DE算法上表现出优越的性能.
- 在LS方法显示了更快的收和参数值与文学一致.
- 虽然EIV方法产生了更高的目标函数值,但在RMSTD中偏差很小,并显著提高了RMSTD (91%-99%).
结论:
- OPDE算法和LS方法为生物柴油生产中的VLE建模提供了高效和准确的方法.
- 优化的热力学模型对于提高生物柴油分离过程的效率至关重要.
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