水泥生产过程的参数化研究

J. John
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Moreover, there are several models for the purpose of studying the use of alternative fuels, cement clinker burning process, phase chemistry, and physical parameters. Nonetheless, most of them do not address real inefficiency taking place in the processes, equipment, and the overall system. This paper presents parametric study results of the four-stage preheater dry Rotary Kiln System (RKS) with a planetary cooler. The RKS at the Mbeya Cement Company (MCC) in Tanzania is used as a case study. The study investigated the effects of varying the RKS parameters against system behaviour, process operation, environment, and energy consumptions. Necessary data for the modelling of the RKS at the MCC plant were obtained either by daily operational measurements or laboratory analyses. The steady-state simulation model of the RKS was carried out through the Aspen Plus software. The simulation results were successfully validated using real operating data. 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引用次数: 13

摘要

水泥工业是工业部门中能源消耗最密集的行业之一。能源消耗占生产成本的40% - 60%。此外,水泥行业占所有人为二氧化碳排放量的5%至8%。水泥窑中涉及的物理化学和热化学反应由于其复杂性仍未得到很好的理解。这些反应对能源消耗、环境恶化和水泥生产成本有决定性的影响。在实现窑系统中关键过程变量的直接测量方面存在技术困难。此外,当实验测试难以进行时,工艺模拟用于工艺的设计、开发、分析和优化。此外,还有几个模型用于研究替代燃料的使用、水泥熟料燃烧过程、相化学和物理参数。尽管如此,它们中的大多数并没有解决在流程、设备和整个系统中发生的实际效率低下的问题。本文介绍了带行星冷却器的四级预热器干式回转窑系统的参数化研究结果。本文以坦桑尼亚Mbeya水泥公司(MCC)的RKS为例进行了研究。该研究调查了不同RKS参数对系统行为、过程操作、环境和能源消耗的影响。通过日常操作测量或实验室分析获得了MCC工厂RKS建模所需的数据。通过Aspen Plus软件建立了RKS的稳态仿真模型。用实际运行数据对仿真结果进行了验证。参数化研究的预测表明,监测和调节废气可以提高燃烧效率,从而节约燃料,降低生产成本。废气的成分也取决于所用燃料的类型和燃烧空气的量。出口烟道气的体积取决于RKS中燃烧空气和渗透空气的量。从研究中获得的结果表明,在目前的窑料为58,000 kg·h-1的情况下,每年节省煤炭的潜力至少约为76,126吨。因此,这可以转化为约1849.12 kJ·kgcl-1的特定节能,并具有相对较高的熟料吞吐量。在这种情况下,过程建模为评估RKS的性能提供了有效、安全和经济的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parametric Studies of Cement Production Processes
The cement industry is one of the most intensive energy consumers in the industrial sectors. The energy consumption represents 40% to 60% of production cost. Additionally, the cement industry contributes around 5% to 8% of all man-made CO2 emissions. Physiochemical and thermochemical reactions involved in cement kilns are still not well understood because of their complexity. The reactions have a decisive influence on energy consumption, environmental degradation, and the cost of cement production. There are technical difficulties in achieving direct measurements of critical process variables in kiln systems. Furthermore, process simulation is used for design, development, analysis, and optimization of processes, when experimental tests are difficult to conduct. Moreover, there are several models for the purpose of studying the use of alternative fuels, cement clinker burning process, phase chemistry, and physical parameters. Nonetheless, most of them do not address real inefficiency taking place in the processes, equipment, and the overall system. This paper presents parametric study results of the four-stage preheater dry Rotary Kiln System (RKS) with a planetary cooler. The RKS at the Mbeya Cement Company (MCC) in Tanzania is used as a case study. The study investigated the effects of varying the RKS parameters against system behaviour, process operation, environment, and energy consumptions. Necessary data for the modelling of the RKS at the MCC plant were obtained either by daily operational measurements or laboratory analyses. The steady-state simulation model of the RKS was carried out through the Aspen Plus software. The simulation results were successfully validated using real operating data. Predictions from parametric studies suggest that monitoring and regulating exhaust gases could improve combustion efficiency, which, in turn, leads to conserving fuels and lowering production costs. Composition of exhaust gases also depends both on the type of fuel used and the amount of combustion air. The volume of exit flue gases depends on the amount of combustion air and infiltrating air in the RKS. The results obtained from the study suggest a potential of coal saving at a minimum of about , which approximates to 76,126 tons per year at the current kiln feed of 58,000 kg·h-1. Thus, this translates to a specific energy saving of about 1849.12 kJ·kgcl-1, with relatively higher clinker throughput. In this vein, process modelling provides effective, safe, and economical ways for assessing the performance of the RKS.
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