Urban gas distribution and transmission loss analysis

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The company’s gate station converted the intelligent rotary flow meter into an intelligent turbine flow meter; in order to analyze the measurement performance of this turbine flow meter, a difference analysis was conducted sequentially for the measurements taken at the upstream unit, the first station, and the gate station. What are everyone’s thoughts on this analysis? Can turbine flowmeters be considered to provide relatively accurate on-site measurement? What else is needed as a supplement? Please give me your advice! Thank you. In January, the metering device in the DN100 pipeline at the gate station was replaced from an intelligent screw-in flow meter with an intelligent turbine flow meter. Below are the flow data statistics for this flow meter over the past month. Calculation conditions: 0.1 MPa under standard conditions, temperature 20°C. The daily gas consumption for Nanshan is set at 900 cubic meters per day. Formula for calculating losses: SY/T5922-94 \"Specifications for the Operation and Management of Natural Gas Transmission Pipelines\"; data is provided in Appendix 1. 1. The measurement value from the orifice plate flow meter at the first station can serve as a valid reference for the measurement carried out by the upstream gas supply party. When the flow rate is within the specified range, the relative error of this orifice plate flow meter remains stable, indicating that its measurements are fairly accurate ； 2. During the Spring Festival, there is high traffic at the stations; during peak periods of gas usage, the turbine flow rate exceeds the measurement range of the flow meter. In some cases, the flow rate is above 90% of this measurement range, which may result in underestimated values ； 3. Analysis of the reasons affecting the measurement accuracy of intelligent turbine flowmeters: During the Spring Festival, the flow rate at the station is high, and the flow rate during peak usage times exceeds the measurement range of the flowmeter ； The flow rate is above 90% of the measurement range for most of the time ； l Error between the estimated value of 900 for Nanshan’s gas volume and the actual value ； l The measurement principle of intelligent turbine flowmeters and their inherent measurement errors. 4. Overall, the relative error of the turbine flowmeter is below 5%, indicating good stability. 　Date Q total Q first p0p2v0v2 does not include Nanshan quantity gate station output (including Nanshan quantity) transmission difference total station transportation quantity first station transportation starting point pressure end pressure pipeline starting transmission reserve pipeline stop transmission reserve gate station flow meter measurement calculation gate station transmission volume gate station flow meter measurement first station transmission difference gate station hand calculation transmission difference gate station measurement transmission difference November 15th 74720722542.16 2.27 25922 27242 6939273400 702923.30%0.00%3.09%21-1674181722832.27 2.46 27242 29522 6774771901 686472.56%0.00%3.21%31-1773496716002.46 2.50 29522 30002 6769073016 685902.58%0.00%4.30%41-1872571707122.50 2.68 30002 32162 6602270411 669222.56%0.00%3.40%5January 19 63121615012.68 2.44 32162 29282 6272866001 636282.57% 0.00% 2.49% 6 January 20 67331656052.44 2.59 29282 31082 6121465531 621142.56% 0.00% 3.54% 7 January 21 65608639272.59 2.58 31082 30962 6137465728 622742.56%0.00%3.57%8January 22 63537619142.58 2.37 30962 28442 6249066057 633902.55%0.00%2.82%91月23日65412637432.37 2.26 28442 27122 6305266732 639522.55%0.00%2.96%101月24日69918681232.26 2.11 27122 25322 6760071718 685002.57%0.00%3.32%11月25日80666786022.11 2.01 25322 24122 7701381866 779132.56%0.00%3.73%121月26日76901749222.01 2.35 24122 28202 6709372821 679932.57%0.00%4.78%131月27日74541726192.35 2.09 28202 25082 7391777661 748172.58%0.00%2.77%14 January 28 77392752462.09 1.80 25082 21601 7635680872 772562.77%0.00%3.53%15 January 29 80851787681.80 1.66 21601 19921 7754982531 784492.58%0.00%3.98%16 January 30 79788777031.66 1.46 19921 17521 7769682188 785962.61%0.00%3.60%171月31日79833777941.46 1.45 17521 17401 7507879953 759782.55%0.00%4.08%182月179017770091.45 1.61 17401 19321 7207777097 729772.54%0.00%4.27%192月2nd77651755981.61 1.63 19321 19561 7267677411 735762.64%0.00%3.95% February 3, 2020 76502745411.63 1.59 19561 19081 7237876982 732782.56%0.00%3.86%2December 4th76483745061.59 1.57 19081 18841 7185076723 727502.58%0.00%4.16%2December 5th76350743411.57 1.59 18841 19081 7132276110 722222.63%0.00%4.08%23February 676251742821.59 1.76 19081 21121 6916774211 700672.58%0.00%4.35%24Feb 7617674202 1.76 1.90 21121 22802 6944674496 703462.59%0.00%4.27%25Feb 87615074178 1.90 2.34 22802 28082 6547670870 663762.59%0.00%4.54%26 February 9 7607974115 2.34 2.87 28082 34442 6386469719 647642.58%0.00%4.76%27February 106195760356 2.87 2.46 34442 29522 6364066877 645402.58%0.00%2.42%28February 116761165862 2.46 2.64 29522 31682 6103765451 619372.59%0.00%3.62%292月12日6859366827 2.64 2.59 31682 31082 6474169193 656412.57%0.00%3.54%302Month137196770137 2.59 2.71 31082 32522 6598270527 668822.54%0.00%3.54%3December 14th7320671316 2.71 2.82 32522 33842 6704571886 679452.58%0.00%3.73%322月15日6604464365 2.82 2.50 33842 30002 6633469884 672342.54%0.00%2.65%33February 166654564860 2.50 2.25 30002 27002 6591869545 668182.53%0.00%2.82%34February 177054668715 2.25 2.30 27002 27602 6584169946 667412.60%0.00%3.29%35February 18 7254070657 2.30 2.46 27602 29522 6604870620 669482.60%0.00%3.67%36February 197099069176 2.46 2.81 29522 33722 6210266790 630022.56%0.00%3.77%37February 206562364031 2.81 2.44 33722 29282 6677770063 676772.43%0.00%2.40%382月21日7206570337 2.44 2.45 29282 29402 6769371945 685932.40%0.00%3.31%39February 22nd7266070811 2.45 2.58 29402 30962 6661071100 675102.54%0.00%3.52%40February 23rd6770565961 2.58 2.50 30962 30002 6475168665656512.58%0.00%3.05%4December 24 7370771848 2.50 2.89 30002 34682 6410969027650092.52%0.00%3.87%42February 256549263828 2.89 2.73 34682 32762 6386767412647672.54%0.00%2.64%43February 266551063854 2.73 2.72 32762 32642 6187065630627702.53%0.00%2.91%44 February 27 6838366560 2.72 2.62 32642 31442 6548369583663832.67%0.00%3.17%45February 286522263594 2.62 2.40 31442 28802 6423067862651302.50%0.00%2.83%46March 16390462116 2.40 2.12 28802 25442 6432267264652222.80%0.00%2.20%47March 27218169573 2.12 2.38 25442 28562 6444669061653463.61%0.00%3.81%48March 3rd7215569575 2.38 2.74 28562 32882 6291967835638193.58%0.00%3.99%49March 4th6689165231 2.74 2.87 32882 34442 6115265331620522.48%0.00%3.29% This post was last edited by cmcchen on 2009-3-5 14:42 ]