Using PI AF and PI Analytics to Satisfy Demand Fluctuations with Minimum Operational Expenditures

Transcription

1 Using PI AF and PI Analytics to Satisfy Demand Fluctuations with Minimum Operational Expenditures Presented by Anne Leray Sari Ziadé Benjamin Truquet

2 Agenda I- GRTgaz II - An Integrated PI System III - The Line Pack IV - IT Implementation V - The solution VI Exploitation of results VII - Pros and Cons VIII - Benefits 2

3 I- GRTgaz A- General missions Natural gas transport on behalf of its customers, ensuring optimum safety, cost and reliability Delivery to recipients directly connected to the transmission network Development of transmission capacity in order to meet market demand and enhance security of supply 100 shippers GRTgaz s network 16 gas distribution system operators 1065 delivery items 269 Twh 828 industrial gas consumers (NGCC included ) 3400 delivery items 178 Twh 3

4 I- GRTgaz B- The Gas System = Gas + Network + IT Using transmission capacities One of the most interconnected network in Europe km of high pressure transmission system 26 compressor stations 4465 delivery points 22 interconnections Using flexibility sources Gas consumption Gas delivery by the shippers Gas shortage supplied by GRTgaz Gas surplus absorbed by GRTgaz 4

5 Agenda I- GRTgaz II - An Integrated PI System III - The Line Pack IV - IT Implementation V - The solution VI Exploitation of results VII - Pros and Cons VIII - Benefits 5

6 II An Integrated PI System A- Use of several PI System products PI Server 2012 PI AF 2014 to manage data and analysis PI ACE 2010 R2 for calculations and data storage PI UFL to store data from the Scada and 3rd party apps PI OASYS Interface to store data from the Scada PI DataLink for analysis and reporting PI ProcessBook as HMI for reporting / supervising 6

7 II - An Integrated PI System B- The architecture (1) Line pack (recalculated) Alarms PI AF SCADA 3rd Party Apps Users Network data Line pack.... Nominations Consumption forecasts PI ACE OASYS PI UFL PI ACE Analysis Gas quality Consumption 3rd Party Apps WebSite Scheduled works Network Imbalance Forecast PI DataLink PI ProcessBook 7

8 II - GRTgaz : An integrated PI System B- The architecture (2) PI Server Collective (1 million tags) Primary Secondary PI AF Server Collective Primary Secondary PI Server ( tags) Analysis Server PI ACE PI Anal ytics PI UFL 8

9 Agenda I- GRTgaz II - An Integrated PI System III - The Line Pack IV - IT Implementation V - The solution VI Exploitation of results VII - Pros and Cons VIII - Benefits 9

10 III - The Line Pack 100 % Q Q P max What are the gains of an high accurate real time LP calculation? Security and reliability P min 50 % Economic performance 0 % P upstream A pipe is saturated when Pmin and Pmax constaints are simultaneously met, then Flow rate Q is at maximum no more line pack flexibility P downstream Performance Client Trade-off between operational transmission capacity and linepack flexibility 10

11 III - The Line Pack 100 % Q Q P max What are the gains of an high accurate real time LP calculation? Security and reliability P min 50 % Economic performance 0 % P upstream A pipe is saturated when Pmin and Pmax constaints are simultaneously met, then Flow rate Q is at maximum no more line pack flexibility P downstream Performance Client Trade-off between operational transmission capacity and linepack flexibility 11

12 Agenda I- GRTgaz II - An Integrated PI System III - The Line Pack IV - IT Implementation V - The solution VI Exploitation of results VII - Pros and Cons VIII - Benefits 12

13 IV IT Implementation A- Excel prototype Input data Simone Software s Network modeling Modeling + ~ 2000 dynamic data PI DataLink Results 13

14 IV IT implemtation B- Limitations Demands Real-Time performance Centralized calculation tool Archiving of the LP calculation results Readable modelisation and calculations Scalability and flexibility Using excel prototyping Using Asset analytics 14

15 IV IT Implementation C- Some milestones Asset Based Analytics CTP IT Test Prove Of Concept Business Test Model developpement Mass generation & Display creation Performance & Quality monitoring Asset Based Analytics CTP Jun 2013 V.Beta Nov 2013 V1 Release Apr 2014 Latest PI AF Patch Aug Jun Aug Oct Dec Feb 2014 Apr Jun Aug 2014 Mar 2014 Business agree the product Oct 2014 LP Release 15

16 Agenda I- GRTgaz II - An Integrated PI System III - The Line Pack IV - IT Implementation V - The solution VI Exploitation of results VII - Pros and Cons VIII - Benefits 16

17 V The solution The Grtgaz network is divided into 4 operating areas with each about 15 sub-networks. Model s Hypothesis A Sub-network : set of pipelines with homogeneous higher heating value and gas density Block : set of pipelines with homogeneous pressure Z = f(hhv ave ; Density ave ) LP = f(pressure ave ; Z) High Heating Value and Density sensor Pressure sensor figures: 60 sub-networks 500 Blocks 1500 pressure sensors 250 HHV sensors 150 density sensors 17

18 V - The solution Root Region Sub-network Block 19

19 V - The solution 20

20 V - The solution 21

21 V - The solution Element templates Elements Tags Analysis templates Analysis

22 Agenda I- GRTgaz II - An Integrated PI System III - The Line Pack IV - IT Implementation V - The solution VI Exploitation of results VII - Pros and Cons VIII - Benefits 23

23 VI Exploitation of results 24

24 Agenda I- GRTgaz II - An Integrated PI System III - The Line Pack IV - IT Implementation V - The solution VI Exploitation of results VII - Pros and Cons VIII - Benefits 25

25 VII - Pros and Cons : Pros Table Lookups Data archiving 26

26 VII - Pros and Cons : Cons We need Delorean to be released in order to calculate the linepack forecast 27

27 Agenda I- GRTgaz II - An Integrated PI System III - The Line Pack IV - IT Implementation V - The solution VI Exploitation of results VII - Pros and Cons VIII - Benefits 28

28 VIII Benefits A. Business & Financial : Will contribute to reach the operating costs reduction objectives fixed by the Energy Regulation Commission Significant input data improvement as part of the current fine-tuning of GRTgaz s real-time optimization & supervising applications Expected reduction in operating costs connected with the intra-day flexibility sourcing Extra level of control of GRTgaz intra-day consumption forecast (consolidation of the tendency) B. IT Easy to use and develop by business Update of an existing tool No need for the service of a third party company 29

29 Using PI AF and PI Analytics to Satisfy Demand Fluctuations with Minimum Operational Expenditures Will contribute in reaching the operating cost reduction objectives fixed by the Energy Regulation Commission Significant input data improvement as part of the current fine-tuning of GRTgaz s real-time optimization & supervising applications Extra level of control of GRTgaz intra-day consumption forecast (consolidation of the tendency) Extra level of control for the consolidation of GRTgaz unaccounted-for-gas in Day+1 Business Challenge Solution Results and Benefits Copyr i ght 2014 O SIs oft, LLC. 30

30 Questions Please wait for the microphone before asking your questions State your name & company Copyr i ght 2014 O SIs oft, LLC. 31

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