王文凯, 付子航, 刘方, 杨玉霞, 黄洁馨. 多气源多用户环形管网供需预测数值模拟[J]. 油气储运, 2021, 40(10): 1187-1193. DOI: 10.6047/j.issn.1000-8241.2021.10.015
引用本文: 王文凯, 付子航, 刘方, 杨玉霞, 黄洁馨. 多气源多用户环形管网供需预测数值模拟[J]. 油气储运, 2021, 40(10): 1187-1193. DOI: 10.6047/j.issn.1000-8241.2021.10.015
WANG Wenkai, FU Zihang, LIU Fang, YANG Yuxia, HUANG Jiexin. Numerical simulation of supply and demand forecasting of multisource and multi-user annular pipeline network[J]. Oil & Gas Storage and Transportation, 2021, 40(10): 1187-1193. DOI: 10.6047/j.issn.1000-8241.2021.10.015
Citation: WANG Wenkai, FU Zihang, LIU Fang, YANG Yuxia, HUANG Jiexin. Numerical simulation of supply and demand forecasting of multisource and multi-user annular pipeline network[J]. Oil & Gas Storage and Transportation, 2021, 40(10): 1187-1193. DOI: 10.6047/j.issn.1000-8241.2021.10.015

多气源多用户环形管网供需预测数值模拟

Numerical simulation of supply and demand forecasting of multisource and multi-user annular pipeline network

  • 摘要: 在老旧天然气管道基础上建设而成的多气源多用户环形天然气管网,一般具有气源分布不均、供气能力及特性不一,老旧管道承压低,用户供气压力较高、用气量大、用气波动大等特点。为研究该类管网在未来投产后的供需平衡问题,采用SPS软件建立了包括LNG接收站和两路海气供应、管道及附属设施、各类终端用户的管网仿真模型,模拟了现有天然气管道运行工况下各分输站的压力参数,模拟结果与实际运行数据的最大相对误差为1.98%,验证了模型的可靠性;在此基础上按照工艺、能效、操作等仿真原则对整个模型进行仿真模拟,得到了不同时段的供需预测数据及LNG接收站外输设备的最优调峰方式。研究成果可为多气源多用户环形天然气管网的运行管理提供参考。

     

    Abstract: The multi-source and multi-user annular natural gas pipeline network reconstructed from the old natural gas pipelines is characterized with uneven distribution of gas sources, different capacities and characteristics of gas supply, low pressure bearing capacity of the old sections, high pressure of gas supply to user, large gas consumption and great consumption fluctuation. In order to study the supply and demand balance of such pipeline network when it is put into operation in the future, a simulation model of pipeline network was established with the SPS software, including the LNG receiving terminal, the two loops of offshore-gas supply, the pipelines and ancillary facilities, and various end users.Then, the pressure parameters of the offtake stations under the operating conditions of existing natural gas pipelines were simulated, and the maximum relative error between the simulation results and the actual operating data was 1.98%, which verified the reliability of the model. Based on that, simulation was performed for the entire model in accordance with the simulation principles of process, energy efficiency, operation, etc., and the forecast data of supply and demand in different periods of time, as well as the optimal peak shaving mode of the external transportation facilities of the LNG receiving terminal, were obtained. The study results could provide reference for the operation management of the multi-source and multi-user annular natural gas pipeline network.

     

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