DocumentCode :
2467610
Title :
Study on the Precautionary Indicator of Transmission Shortage for Natural Gas Pipeline Network
Author :
Cen Kang ; Li Changjun ; Li Wei ; Du Xuezhi
Author_Institution :
Sch. of Civil Eng. & Archit., Southwest Pet. Univ., Chengdu, China
fYear :
2010
fDate :
17-19 Dec. 2010
Firstpage :
1297
Lastpage :
1299
Abstract :
The surveillance and control of transmission shortage in natural gas pipeline network is one of the most important routines for any natural gas transportation company because it directly affects the cost and profit. The precondition, however, is to ascertain the appropriate ranges of transmission shortage within a certain statistics cycle, namely, the precautionary indicator. The purpose of this study is to investigate the appropriate precautionary indicator for natural gas pipeline network by establishing an uncertainty model to consider the uncertainty produced by various flow meters and other possible reasons. The accuracy of the model has been justified by the past several years´ experience of a large natural gas transportation company. The results show that the rational precautionary indicator of transmission shortage for natural gas pipeline network should be ±(δQ/Q+(0.3%~0.5%)). Thereinto, ±(δQ/Q+0.3%)could be used as the light precautionary indicator of transmission shortage, and ±(δQ/Q+0.5%)could be used as the heavy one.
Keywords :
flowmeters; natural gas technology; pipelines; statistical analysis; flow meter; natural gas pipeline network; precautionary indicator; statistics cycle; transmission shortage control; transmission shortage surveillance; uncertainty model; Fluid flow measurement; Measurement uncertainty; Natural gas; Orifices; Pipelines; Q measurement; Uncertainty; natural gas; pipeline network; the precautionary indicator; transmission shortage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8814-8
Electronic_ISBN :
978-0-7695-4270-6
Type :
conf
DOI :
10.1109/ICCIS.2010.320
Filename :
5709520
Link To Document :
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