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In the interests of both simplicity and flexibility, the P-POD pipeline employs a modular architecture.
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.
The POD-Galerkin reduced-order model is established for the thermal process of the buried oil pipeline, which carries complex and inhomogeneous boundary conditions, including Dirichlet (or first-type), Neumann (or second-type), and Robin (or third-type) boundary conditions.
This paper presents a reduced model of a pipeline of a hydrogen network in a petrol refinery obtained with the use of Proper Orthogonal Decomposition (POD) method.
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Petersburg pipeline.
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