尿素合成和生产过程中热力学应用的速率表达模型和最佳动力学参数的确定

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY
O.E. Ojong , J.G. Akpa , K.K. Dagde , D. Amadi
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引用次数: 0

摘要

尿素是一种重要的有机肥料,可提供 0.466% 的氮,从而提高土壤肥力,使作物获得最高产量。在本研究中,尿素由 NH3 和 CO2 按照勒夏特列原理在平衡反应过程中合成,工艺条件为:流速 63.5 kg/s、温度 184 °C 和压力 160 kg/cm2。在质量作用关系和热力学模型的基础上,根据反应程度和分子分数建立了一个新的速率表达模型。考虑了两个工业反应器:Notore 工厂的塞流反应器(PFR)和 Indorama 工厂的连续搅拌罐反应器(CSTR)。瞬态反应器模型以物料和能量平衡守恒原理为基础,使用 MATLAB 2020 版本在指定输入条件下进行数值解析。采用非线性回归统计优化模型来完善动力学参数值,确保获得最佳和高质量的尿素产量。利用文献数据对模型进行了验证,结果显示,CSTR 和 PFR 的尿素产量分别为 0.726 和 0.7032。在对 CSTR 和 PFR 的工厂值和文献值进行验证时,分别观察到了偏差(0.134,0.10 至 1.135 和 0.635,0.326 至 0.850)和均方根误差(RMSE)(0.043,0.033 至 0.193 和 0.137,0.087 至 0.162)。在与工厂数据进行验证时,改进后的动力学参数(活化能、阿伦尼斯常数和速率常数)的偏差(0.0004-0.0466 和 0.0004 至 0.0491)和均方根误差(0.0228、0.0055 和 0.0256 以及 0.0241、0.0096 和 0.0269)均可忽略不计,分别显著提高了 CSTR 和 PFR 反应器中的尿素产量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Rate expression model from thermodynamics application and optimal kinetic parameters determination for urea synthesis and production process

Rate expression model from thermodynamics application and optimal kinetic parameters determination for urea synthesis and production process

Urea, an essential organic fertilizer, enhances soil fertility by providing 0.466 nitrogen for maximum crop yield. In this study, urea is synthesized from NH3 and CO2 in an equilibrium reaction process adhering to Le Chatelier's principle, maintained under process conditions: flow rate of 63.5 kg/s, temperature of 184 °C, and pressure of 160 kg/cm2. A new rate expression model, formulated in terms of extent of reaction and mole fraction, was developed based on mass action relations and thermodynamic models. Two industrial reactors were considered: a plug flow reactor (PFR) at Notore and a continuous stirred tank reactor (CSTR) at Indorama plants. Transient reactor models, based on material and energy balance conservation principles, were numerically resolved using MATLAB version 2020 with specified input conditions. A non-linear regression statistical optimization model was employed to refine kinetic parameter values, ensuring optimal and high-quality urea yield. Model validations were conducted using literature data, revealing higher urea yields of 0.726 and 0.7032 for the CSTR and PFR, respectively. Deviations (0.134, 0.10 to 1.135 and 0.635, 0.326 to 0.850) and root mean square errors (RMSE) (0.043, 0.033 to 0.193 and 0.137, 0.087 to 0.162) were observed when validated against plant and literature values for the CSTR and PFR respectively. The refined kinetic parameters (activation energies, Arrhenius constants, and rate constants) exhibited negligible deviations (0.0004–0.0466 and 0.0004 to 0.0491) and RMSE (0.0228, 0.0055, and 0.0256 and 0.0241, 0.0096, and 0.0269) when validated against plant data, significantly enhancing urea yield in CSTR and PFR reactors respectively.

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来源期刊
Results in Engineering
Results in Engineering Engineering-Engineering (all)
CiteScore
5.80
自引率
34.00%
发文量
441
审稿时长
47 days
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