A solving new method for the urea-selective catalytic reduction (SCR) system in a diesel engine using coupled hyperbolic-parabolic partial differential equations (PDEs)

IF 6.4 2区 工程技术 Q1 THERMODYNAMICS Case Studies in Thermal Engineering Pub Date : 2024-11-05 DOI:10.1016/j.csite.2024.105434
Wenlong Liu , Ying Gao , Yuelin You , Changwen Jiang , Taoyi Hua , Bocong Xia
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Abstract

To control the diesel engine urea SCR system with high accuracy, firstly, the partial differential equations of the SCR system are simplified through variable substitution and the method of characteristic lines to eliminate the partial derivative terms of the hyperbolic partial differential equations in the flow direction. The backward difference method is used to solve the problem, and the adaptive time step is adjusted to improve computational efficiency. Secondly, the Levenberg-Marquardt algorithm is applied to identify the model parameters per second based on the 1800-s test bench data. By combining the experimental data with the parameter identification results, this paper calculated the downstream NOx concentration with 99.5 % accuracy. Finally, the 1800s transient test data was applied to a commonly used single-state SCR control model, and cell numbers 1–4 of the cases were numerically simulated. It was found that the reduced-order model had a computation time of 1 s but was less accurate. When the test data was applied to the model presented in this study, the calculation time was 27s, and the model's calculation results show that the average error of the downstream NOx concentration is 16.95 ppm, which is 14.3 ppm lower than that of the two-cell one-state model.
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利用双曲-抛物线耦合偏微分方程 (PDE) 解决柴油发动机中尿素选择性催化还原 (SCR) 系统的新方法
为了高精度控制柴油机尿素 SCR 系统,首先通过变量代换和特征线法简化了 SCR 系统的偏微分方程,消除了双曲偏微分方程在流动方向上的偏导数项。采用后向差分法求解,并调整自适应时间步长以提高计算效率。其次,应用 Levenberg-Marquardt 算法,根据 1800 秒的试验台数据确定每秒的模型参数。通过将实验数据与参数识别结果相结合,本文计算下游氮氧化物浓度的准确率达到 99.5%。最后,将 1800 秒瞬态测试数据应用于常用的单态可控硅控制模型,并对 1-4 单元的情况进行了数值模拟。结果发现,降阶模型的计算时间为 1 秒,但精确度较低。将测试数据应用于本研究提出的模型时,计算时间为 27 秒,模型的计算结果显示,下游氮氧化物浓度的平均误差为 16.95 ppm,比两单元单态模型低 14.3 ppm。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Case Studies in Thermal Engineering
Case Studies in Thermal Engineering Chemical Engineering-Fluid Flow and Transfer Processes
CiteScore
8.60
自引率
11.80%
发文量
812
审稿时长
76 days
期刊介绍: Case Studies in Thermal Engineering provides a forum for the rapid publication of short, structured Case Studies in Thermal Engineering and related Short Communications. It provides an essential compendium of case studies for researchers and practitioners in the field of thermal engineering and others who are interested in aspects of thermal engineering cases that could affect other engineering processes. The journal not only publishes new and novel case studies, but also provides a forum for the publication of high quality descriptions of classic thermal engineering problems. The scope of the journal includes case studies of thermal engineering problems in components, devices and systems using existing experimental and numerical techniques in the areas of mechanical, aerospace, chemical, medical, thermal management for electronics, heat exchangers, regeneration, solar thermal energy, thermal storage, building energy conservation, and power generation. Case studies of thermal problems in other areas will also be considered.
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