油气工业管壳式换热器的模拟

Serhii Kubakh, Vitalii Tsapar
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引用次数: 0

摘要

根据现有文献资料的分析,将热交换器引入生产过程的最有效方法是使用计算流体动力学(CFD)建模。该方法还涉及对组成模型的组件进行微调。机组的能源效率、安全性和稳定的功能是生产活动的关键方面。CFD建模为研究热装置(如管式热交换器)中的热交换过程提供了充分的机会。优化这类系统的运行需要仔细调整,包括创建一个考虑实际尺寸的三维模型,以及灵活调整各种流动模式和热条件。& # x0D;工艺流程加热和冷却过程是各个行业的标准做法。这些操作通常在热交换器中进行,其中流体在层流条件下流过管道。在这种条件下的传热机制是复杂的,尚未充分探索,因为它们包括强迫对流和自然对流。这给准确预测热交换器的设计带来了困难。在计算机模拟中使用简化的几何模型和有限的炼油过程信息严重影响了分析和优化的可能性。这种方法可以显著加快新型热交换器的开发。目前的研究强调设计的变化,以改善传热和其他性能。& # x0D;先前的研究指出,缺乏对设计改进的具体建议,对不准确结果的原因调查不完整,以及对重要参数的细节不够详细。本文介绍了模型的建立步骤,重点介绍了换热器的重要细节。介绍了进料油的网格调整过程和进料油的性质。考虑了湍流对原油和蒸汽温度变化的影响。详细分析了转速对换热系数的影响,并对进一步优化进行了展望。计算机建模在油气工业中的应用具有重要意义。它是提高行业运营效率、安全性和可持续性的关键工具。& # x0D;计算机建模允许您预测和优化流程,创建精确的对象虚拟模型,分析其安全性,并研究新技术。它还促进了经济分析、员工培训和创新。因此,计算机模拟改善了决策,降低了风险,促进了整个油气行业的发展。它是研究物理系统的有效方法之一。通常,计算机模型更容易学习,也更方便,它们允许进行计算实验,而实际设置是困难的,或者可能会给出不可预测的结果。所有这些方面都旨在更深入、更详细地了解热交换过程,这揭示了未来改进这一过程的潜力。& # x0D;在这种情况下,主要关注的是在使用专门软件时开发仿真模型的基本方面。分析和调整的结果使人们对模型配置过程有了更深入的了解,并对其进一步优化进行了展望。由于介质速度的提高,流速的增加促进了更有效的热交换。在建模过程中,得到了沿管道长度方向的热量分布与传热系数的线性关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation of a shell-tube heat exchanger in the oil and gas industry
From the analysis of available literary sources, it follows that the most effective way of introducing heat exchangers into production processes is by using computational fluid dynamics (CFD) modeling. This method also involves fine-tuning the components from which the model is formed. Energy efficiency, safety, and stable functionality of units are key aspects of production activities. CFD modeling provides ample opportunities for studying heat exchange processes in thermal installations, such as tubular heat exchangers. Optimizing the operation of such systems implies careful adjustments, including creating a three-dimensiona l model taking into account real dimensions, and flexible adjustment of various flow regimes and thermal conditions. Process flow heating and cooling processes are standard practice in various industries. These operations are often performed in heat exchangers where the fluid flows through tubes in laminar conditions. Heat transfer mechanisms in such conditions are complex and not yet fully explored, as they include both forced and natural convection. This creates difficulties in accurately predicting the design of the heat exchanger. The use of simplified geometric models and limited information about oil refining processes in computer simulations significantly affects the analysis and optimization possibilities. This approach can significantly accelerate the development of new types of heat exchangers. Current research emphasizes design changes to improve heat transfer and other performance. Previous studies note a lack of specific recommendations for design improvement, incomplete investigation of the causes of inaccurate results, and insufficient detail of important parameters. This study presents the model setup steps with emphasis on the important details of the heat exchanger. The grid adjustment process and the properties of the incoming oil are described. The impact of turbulence on crude oil and steam temperature changes is considered. The influence of speed on the heat exchange coefficient was also analyzed in detail, and prospects for further optimization were determined. The application of computer modeling in the oil and gas industry is important. It is a key tool for improving the efficiency, security, and sustainability of operations in the industry. Computer modeling allows you to predict and optimize processes, create accurate virtual models of objects, analyze their security, and research new technologies. It also facilitates economic analysis, staff training, and innovation. As a result, computer simulation improves decisions, reduces risks, and promotes the development of the entire oil and gas industry. It is one of the effective methods of studying physical systems. Often, computer models are easier and more convenient to study, they allow conducting computational experiments, the real setting of which is difficult or can give an unpredictable result. All these aspects together are aimed at a deeper and more detailed understanding of heat exchange processes, which reveals the potential for improving this process in the future. The main focus in this context is on the fundamental aspects of developing simulation models when using specialized software. The obtained results of the analysis and adjustment allow a deeper understanding of the model configuration process and the prospects for its further optimization. Increasing the flow rate promotes more efficient heat exchange due to the higher velocity of the medium. A linear dependence of the heat distribution along the length of the pipe and the heat transfer coefficient is obtained in the process of modeling.
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