Thermo-Hydraulic Characteristics of Non-Isothermal Batch Transportation Pipeline System with Different Inlet Oil Temperature

  • CHEN Zhimin ,
  • YUAN Qing ,
  • JIANG Weixin ,
  • LI Zongze ,
  • YU Bo
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  • 1. School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China
    2. School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China
    3. Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
    4. State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China

网络出版日期: 2023-11-22

基金资助

The study is supported by the fund of the Beijing Municipal Education Commission (No. 22019821001) and Award Cultivation Foundation from Beijing Institute of Petrochemical Technology (No. BIPTACF-002).

版权

Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2023

Thermo-Hydraulic Characteristics of Non-Isothermal Batch Transportation Pipeline System with Different Inlet Oil Temperature

  • CHEN Zhimin YUAN Qing ,
  • JIANG Weixin ,
  • LI Zongze ,
  • YU Bo
Expand
  • 1. School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China
    2. School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China
    3. Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
    4. State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China

Online published: 2023-11-22

Supported by

The study is supported by the fund of the Beijing Municipal Education Commission (No. 22019821001) and Award Cultivation Foundation from Beijing Institute of Petrochemical Technology (No. BIPTACF-002).

Copyright

Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2023

摘要

多种原油批次输送过程是由一个完整耦合管道系统完成,该系统表现出复杂的水热力特性。基于土壤、管道和设备(包括泵、加热炉和阀门)之间的耦合特性,建立了原油管道系统批次输送的耦合仿真模型,并提出了一种新型的耦合仿真算法。仿真结果与实际原油管道系统的现场数据吻合的较好。此外,基于数值模拟,研究了管道系统的水热力特点,并得到了一些新的水热力特性规律。在恒定流量批次输送过程中,各管段出口处的温度变化趋势有滞后性,并且温度的变化幅度沿里程变小。而设备调整在一定程度上影响了水热力特性。在变流量批次输送过程中,由于油品、流量和吸放热的变化的综合影响,水热力特性更加复杂。与恒定流量的输送过程相比,高粘度原油在变流量的输送过程中,最低温度相似,而最高压力更低,这意味着管道系统有更高的输送安全性。本研究可为制定更安全的原油管道系统批量输送方案提供科学参考。

本文引用格式

CHEN Zhimin , YUAN Qing , JIANG Weixin , LI Zongze , YU Bo . Thermo-Hydraulic Characteristics of Non-Isothermal Batch Transportation Pipeline System with Different Inlet Oil Temperature[J]. 热科学学报, 2023 , 32(3) : 965 -981 . DOI: 10.1007/s11630-023-1812-0

Abstract

The batch transportation process of several kinds of crude oil is accomplished by an entire coupled pipeline system, which exhibits complex thermo-hydraulic characteristics. Based on the coupled characteristics among soil, pipelines and devices (including pumps, heating furnaces and valves), a coupled simulation model of batch transportation for the crude oil pipeline system is established, and a novel coupled simulation algorithm is proposed. The simulation results are in good agreement with the field data of an actual crude oil pipeline system. In addition, based on the numerical simulation, thermo-hydraulic characteristics of pipeline system are investigated, and some new thermo-hydraulic characteristics are obtained. In the batch transportation process with constant flowrate, the change trends of temperature at the outlet of each pipeline segment are hysteretic and the change ranges of temperature become small along mileage. And the adjustment of devices influences thermo- hydraulic characteristics to some extent. In the batch transportation process with variable flowrate, the complex thermo-hydraulic characteristics are exhibited, which are induced by the comprehensive influence of the changes of oil type, flowrate and absorbed/released heat. Compared with the transportation process with constant flowrate, the high-viscosity oil exhibits similar minimum temperature and lower maximum pressure in the transportation process with variable flowrate, which means that the higher transportation safety of pipeline system is obtained. This study can provide a scientific reference for making the safer batch transportation scheme of crude oil pipeline system.

参考文献

[1] Bontkes P., Batching crude oil and NGL through a Canadian Trunkline. Pipe Line Industry, 1989, 70(6): 15–16.
[2] McHugh M., Hanks K., Pacific pipeline designed with latest leak detection technology. Pipe Line & Gas Industry, 1998, 81(3): 87–93.
[3] Mecham T., Stanley G., Pelletier M., et al., High speed data communications and high speed leak detection models: impact of thermodynamic properties for heated crude oil in large diameter, insulated pipelines— application pacific pipeline system. International Pipeline Conference, ASME, Paper No: IPC2000-241.
[4] Shauers D., Sarkissian H., Decker B., et al., California line beats odds, begins moving viscous crude oil. Oil & Gas Journal, 2000, 98(15): 54–64.
[5] Mecham T., Wilkerson B., Templeton B., Full integration of SCADA, field control systems and high speed hydraulic models: application pacific pipeline system. International Pipeline Conference. ASME, Paper No: IPC2000-240.
[6] Cui X.G., Analysis of transient hydraulic-thermal interaction during cool and hot oil batch pipelining and its applications. China University of Petroleum, Beijing, 2005. (in Chinese)
[7] Cui X.G., Zhang J.J., The research of heat transfer problem in process of batch transportation of cool and hot oil. Oil & Gas Storage and Transportation, 2004, 23(11): 15–19. (in Chinese)
[8] Cui X.G., Zhang J.J., Determination of the thermal influence zone of buried hot oil pipeline on steady operation. Journal of University of Petroleum China Natural Science Edition, 2004, 28: 75–78. (in Chinese)
[9] Zhou J., Wang K., Zou X.Q., et al., Analysis of thermal impact factors on batching transportation of cool and hot oil for long-distance pipelines. Oil & Gas Storage and Transportation, 2009, 28(6): 15–17. (in Chinese)
[10] Wang K., Numerical study on batch pipelining of crude oils with different out-station temperatures. China University of Petroleum-Beijing, Beijing, China, 2009. (in Chinese)
[11] Wang K., Zhang J.J., Yu B., Economic comparison between different heating schemes of batch pipelining of cold and hot crude oils. Journal of Southwest Petroleum University (Science & Technology Edition), 2008, 30(2): 158–162. (in Chinese)
[12] Wang K., Zhang J.J., Yu B., et al., Numerical simulation on the thermal and hydraulic behaviors of batch pipelining crude oils with different inlet temperatures. Oil & Gas Science and Technology, 2009, 64(4): 503–520.
[13] Wang K., Zhang J.J., Yu B., Hydraulic-thermal coupled model of different temperature batch transportation of crude oil pipeline. Oil & Gas Storage and Transportation, 2013, 32(2): 143–151. (in Chinese)
[14] Yuan Q., Wu C., Yu B., et al., Study on the thermal characteristics of crude oil batch pipelining with differential outlet temperature and inconstant flow rate. Journal of Petroleum Science and Engineering, 2018, 160: 519–530.
[15] Cai L., Study on characteristics and transportation schemes of batch transportation with different outlet temperatures in Dongying-Linyi parallel crude oil pipeline. China University of Petroleum, Beijing, China, 2018. (in Chinese)
[16] Yuan Q., Jiang W., Guo M., et al., GPU-accelerated transient thermo-hydraulic simulation of weakly compressible restart flow of a non-Newtonian fluid in a long-buried hot oil pipeline. Applied Thermal Engineering, 2023, 227: 120299.
[17] Kumar L., Paso K., Sjoblom J., Numerical study of flow restart in the pipeline filled with weakly compressible waxy crude oil in non-isothermal condition. Journal of Non-Newtonian Fluid Mechanics, 2015, 223: 9–19.
[18] De Oliveira G.M., Negrᾶo C.O.R., The effect of compressibility on flow start-up of waxy crude oils. Journal of Non-Newtonian Fluid Mechanics, 2015, 220: 137–147.
[19] Yuan Q., Luo Y., Shi T., et al., Investigation into the heat transfer models for the hot crude oil transportation in a long-buried pipeline. Energy Science & Engineering, 2023: 1–16.
[20] Yuan Q., Gao Y., Luo Y., et al., Study on the optimal operation scheme of a heated oil pipeline system under complex industrial conditions. Energy, 2023, 272: 127139.
[21] Deng S.S., Pu J.N., The comparison of mixing models of two-D and one-D products batching. Oil & Gas Storage and Transportation, 1997, 1: 16–18, 24. (in Chinese)
[22] Chang C., Nguyen Q.D., Rønningsen H.P., Isothermal start-up of pipeline transporting waxy crude oil. Journal of Non-Newtonian Fluid Mechanics, 1999, 87(2–3): 127–154.
[23] Davidson M.R., Nguyen Q.D., Chang C., et al., A model for restart of a pipeline with compressible gelled waxy crude oil. Journal of Non-Newtonian Fluid Mechanics, 2004, 123(2–3): 269–280.
[24] De Oliveira G.M., da Rocha L.L.V., Franco A.T., et al., Numerical simulation of the start-up of Bingham fluid flows in pipelines. Journal of Non-Newtonian Fluid Mechanics, 2010, 165(19–20): 1114–1128.
[25] De Oliveira G.M., Negrão C.O.R., Franco A.T., Pressure transmission in Bingham fluids compressed within a closed pipe. Journal of Non-Newtonian Fluid Mechanics, 2012, 169: 121–125.
[26] Zhao Z.N., Heat transfer. Higher Education Press, Beijing, China, 2002, pp. 39–41. (in Chinese)
[27] Vasilyev O.V., Paolucci S., A fast adaptive wavelet collocation algorithm for multidimensional PDEs. Journal of Computational Physics, 1997, 138(1): 16–56.
[28] Vasilyev O.V., Bowman C., Second-generation wavelet collocation method for the solution of partial differential equations. Journal of Computational Physics, 2000, 165(2): 660–693.
[29] Yuan Q., Study on efficient numerical methods for the shutdown and restart processes of a waxy crude oil Pipe. China University of Petroleum, Beijing, 2019. (in Chinese)
[30] Chen Y.J., Study on contamination in batch transportation of crude oil and product oil by numerical simulation. China University of Petroleum, Beijing, China, 2019. (in Chinese)
[31] Tao W.Q., Numerical heat transfer, 2nd ed. Xi’an Jiaotong University Press, Xi’an, China, 2001, pp. 442–458. (in Chinese)
[32] Luskin M., An approximation procedure for nonsymmetric, nonlinear hyperbolic systems with integral boundary conditions. SIAM Journal on Numerical Analysis, 1979, 16(1): 145–164.
[33] Abbaspour M., Chapman K.S., Nonisothermal transient flow in natural gas pipeline. Journal of Applied Mechanics, 2008, 75(3): 519–525.
[34] Kiuchi T., An implicit method for transient gas flows in pipe networks. International Journal of Heat and Fluid Flow, 1994, 15(5): 378–383.
[35] Helgaker J.F., Ytrehus T., Coupling between continuity/ momentum and energy equation in 1D gas flow. Energy Procedia, 2012, 26: 82–89.
[36] Wang P., Yu B., Deng Y., et al., Comparison study on the accuracy and efficiency of the four forms of hydraulic equation of a natural gas pipeline based on linearized solution. Journal of Natural Gas Science and Engineering, 2015, 22: 235–244.
[37] Lu J.F., Guan Z., Numerical methods for partial differential equations, 2nd ed. Tsinghua University Press, 2004, pp. 46–48, 65–73. (in Chinese)
[38] Lu J.F., Numerical schemes of the characteristics- difference method for convection-dominated diffusion problems. Chinese Journal of Computational Physics, 1989, 6(4): 486–494. (in Chinese)
[39] Prakash C., An improved control volume finite-element method for heat and mass transfer, and for fluid flow using equal-order velocity-pressure interpolation. Numerical Heat Transfer Applications, 1986, 9(3): 253– 276.
[40] Sheen, S.C., Wu, J.L., Solution of the pressure correction equation by the preconditioned conjugate gradient method. Numerical Heat Transfer Part B Fundamentals, 1997, 32(2): 215–230.
[41] He L.X., Calculation and actual validation of mixed oil volume in batch transportation of Dongying-Linyi parallel crude oil pipeline. Science & Technology Vision, 2020, pp. 131–132. (in Chinese)
[42] Zhang T., Bai H., Sun S., A self-adaptive deep learning algorithm for intelligent natural gas pipeline control. Energy Reports, 2021, 7: 3488–3496.
[43] Zhang T., Bai H., Sun S., Intelligent control on urban natural gas supply using a deep-learning-assisted pipeline dispatch technique. Frontiers in Energy Research, 2022, DOI: 10.3389/fenrg.2021.759498.

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