王冠培, 苏清博, 郭开华, 李宁, 皇甫立霞. 多气源混输管网的供气方案[J]. 油气储运, 2013, 32(10): 1063-1067. DOI: 10.6047/j.issn.1000-8241.2013.10.006
引用本文: 王冠培, 苏清博, 郭开华, 李宁, 皇甫立霞. 多气源混输管网的供气方案[J]. 油气储运, 2013, 32(10): 1063-1067. DOI: 10.6047/j.issn.1000-8241.2013.10.006
WANG Guanpei, SU Qingbo, GUO Kaihua, LI Ning, HUANGFU Lixia. Gas supply program for pipeline network with multiple gas sources[J]. Oil & Gas Storage and Transportation, 2013, 32(10): 1063-1067. DOI: 10.6047/j.issn.1000-8241.2013.10.006
Citation: WANG Guanpei, SU Qingbo, GUO Kaihua, LI Ning, HUANGFU Lixia. Gas supply program for pipeline network with multiple gas sources[J]. Oil & Gas Storage and Transportation, 2013, 32(10): 1063-1067. DOI: 10.6047/j.issn.1000-8241.2013.10.006

多气源混输管网的供气方案

Gas supply program for pipeline network with multiple gas sources

  • 摘要: 为了提高天然气管网供气的可靠性和安全性,多气源同时接入跨区域大型管网的混输格局逐步形成。由于不同气源的气质以及供应形式存在差异,而且下游用户对热值波动的敏感度不同,对下游用户的计价原则也不同,因此提出合理的混输管网供气方案,实现城市管网公司及下游终端用户的利益均衡是急需解决的技术难题。基于中山大学BP液化天然气中心研发的燃气混输管网动态仿真平台,对某市高压混输管网进行仿真模拟,主要针对管网分开输送方案和多气源相互调配方案两种混输供气方案进行对比分析模拟,通过模拟两种方案中下游终端用户的热值动态响应情况,分析热值/华白指数波动对下游终端用户的影响,以及不同热值气源与各类下游用户的对应匹配情况。

     

    Abstract: In order to improve the reliability and security of gas supply of pipeline network, a new blended transmissionpattern with multiple sources connected into a trans-regional, large blended transmission pipeline network is taking shapegradually. Because of differences in gas qualities from various sources and differences in supply forms, different sensitivityof downstream users to the heating value fluctuations, and different prices for downstream users, a reasonable gas supplyprogram for blended transmission pipeline network is in urgent need to balance the profits of urban pipeline company andend-users. Based on a dynamic simulation platform for blended transmission pipeline network developed by BP-LNG centerof Sun Yat-sen University, the simulation of a city's blended transmission pipeline network is carried out, to compare theseparated-transmission pipeline network program and multi-gas sources allocation program. By simulating downstream endusers'response to the dynamic heating value in these two programs, the paper analyzes the impact of fluctuating of heatingvalue/wobbe index on downstream end-users, as well as corresponding match of various downstream users with differentheating value gas sources.

     

/

返回文章
返回