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首页> 外文期刊>Applied thermal engineering: Design, processes, equipment, economics >Fast thermal simulation of a heated crude oil pipeline with a BFC-Based POD reduced-order model
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Fast thermal simulation of a heated crude oil pipeline with a BFC-Based POD reduced-order model

机译：基于BFC的POD降阶模型对原油加热管道的快速热仿真

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A proper orthogonal decomposition (POD) Galerkin reduced-order model (ROM) for unsteady-state heat conduction problems is proposed based on body-fitted coordinate (BFC), and the discrete format of spatial derivative of basis function which could enhance the calculation precision is employed in the present paper. Applying the POD reduced-order model into the fast thermal calculation of oil pipeline, such as the batch transportation of cold and hot oil as well as pipeline shutdown, the computing speed of POD reduced-order model is about 259 times and 177 times faster than that of traditional finite volume method (FVM) respectively. And from the calculation results, the reduced-order model is proved to enjoy good precision. Thus the reduced-order model holds great engineering application value and would be a very helpful tool to solve the time-consuming problem involved in the optimal design and risk assessment of oil pipeline. (C) 2014 Elsevier Ltd. All rights reserved.
机译：提出了一种基于体拟合坐标（BFC）的非稳态导热问题的正交分解法（POD）Galerkin降阶模型（ROM），以及基函数空间导数的离散格式，可以提高计算精度。在本文中使用。将POD降阶模型应用于输油管道的热力快速计算中，如冷，热油的批量运输以及管道的停机，其POD降阶模型的计算速度大约是259倍和177倍。分别是传统的有限体积法（FVM）。从计算结果来看，降阶模型具有较高的精度。因此，降阶模型具有很大的工程应用价值，对于解决输油管道的优化设计和风险评估中的耗时问题将是非常有用的工具。 （C）2014 Elsevier Ltd.保留所有权利。

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