Numerical Simulation for Preheating New Submarine Hot Oil Pipelines
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- Qinglin Cheng & Yifan Gan & Wenkun Su & Yang Liu & Wei Sun & Ying Xu, 2017. "Research on Exergy Flow Composition and Exergy Loss Mechanisms for Waxy Crude Oil Pipeline Transport Processes," Energies, MDPI, vol. 10(12), pages 1-20, November.
- Wuyi Wan & Boran Zhang & Xiaoyi Chen & Jijian Lian, 2019. "Water Hammer Control Analysis of an Intelligent Surge Tank with Spring Self-Adaptive Auxiliary Control System," Energies, MDPI, vol. 12(13), pages 1-19, July.
- Li Ding & Jiasheng Zhang & Aiguo Lin, 2019. "A Deep-Sea Pipeline Skin Effect Electric Heat Tracing System," Energies, MDPI, vol. 12(13), pages 1-20, June.
- Wuyi Wan & Boran Zhang & Xiaoyi Chen, 2018. "Investigation on Water Hammer Control of Centrifugal Pumps in Water Supply Pipeline Systems," Energies, MDPI, vol. 12(1), pages 1-20, December.
- Wei, Nan & Li, Changjun & Peng, Xiaolong & Li, Yang & Zeng, Fanhua, 2019. "Daily natural gas consumption forecasting via the application of a novel hybrid model," Applied Energy, Elsevier, vol. 250(C), pages 358-368.
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Keywords
submarine hot oil pipeline; preheating process; numerical simulation; double method of characteristics (DMOC); finite element method (FEM); heat transfer coefficient;All these keywords.
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