Presented by

Using PI AF and

PI Analytics to Satisfy

Demand Fluctuations with

Minimum Operational

Expenditures

Anne Leray

Sari Ziadé

Benjamin Truquet

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

Agenda

2

I- GRTgaz

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

828 industrial gas consumers

(NGCC included )

16 gas distribution

system operators

1065 delivery items

269 Twh

3400 delivery items

178 Twh

GRTgaz’s network

A- General missions

3

Gas consumption

Gas delivery by the shippers

Gas shortage supplied by GRTgaz

Gas surplus absorbed by GRTgaz

I- GRTgaz

Using flexibility sourcesUsing transmission capacities

32200 km of high

pressure transmission

system

26 compressor

stations

4465 delivery points

22 interconnections

One of the most interconnected network in Europe

B- The Gas System = Gas + Network + IT

4

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

Agenda

5

II – An Integrated PI System

• 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

A- Use of several PI System products

6

II - An Integrated PI System

SCADA

3rd

Party

Apps

Users

PI UFL

PI ACE

OASYS

Alarms

Network data

Nominations

Consumption forecasts

Scheduled works

Line pack

…………..

…………..

Analysis

PI ACE

PI AF

3rd Party Apps

WebSite

PI DataLink

PI ProcessBook

Line pack(recalculated)

Gas quality

Consumption

Network Imbalance Forecast

B- The architecture (1)

7

II - GRTgaz : An integrated PI System

Secondary

PI Server Collective (1 million tags)

Primary

PI Server (200 000 tags)

Secondary

PI AF Server Collective

Primary

Analysis Server

PI ACE

PI Analytics

PI UFL

B- The architecture (2)

8

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

Agenda

9

Pmax

Pmin

Q

A pipe is saturated when Pmin and Pmax constaints are simultaneously met,

then Flow rate Q is at maximum no more line pack flexibility

Trade-off between operational transmission capacity and linepack flexibility

Pupstream Pdownstream

0

%

50

%

100

%

Q

III - The Line Pack

Security and

reliability

Economic

performance

What are the gains of an high accurate

real time LP calculation?

Performance

Client

10

Pmax

Pmin

A pipe is saturated when Pmin and Pmax constaints are simultaneously met,

then Flow rate Q is at maximum no more line pack flexibility

Trade-off between operational transmission capacity and linepack flexibility

Q

Pupstream Pdownstream

0

%

50

%

100

%

Q

III - The Line Pack

Security and

reliability

Economic

performance

What are the gains of an high accurate

real time LP calculation?

Performance

Client

11

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

Agenda

12

Results

IV – IT Implementation

Input data

+~ 2000 dynamic data

Simone Software’s Network modeling

ModelingA- Excel prototype

13

PI DataLink

IV – IT implemtation

Real-Time performance

Centralized calculation tool

Archiving of the LP calculation results

Readable modelisation and calculations

Scalability and flexibility

Demands

Using excel

prototypingUsing Asset

analytics

B- Limitations

14

IV – IT Implementation

2013 Jun Aug Oct DecFeb2014

Apr Jun Aug 2014

LP Release

Oct 2014

Latest PI AF Patch

Aug 2014

V1 Release

Apr 2014

Business agree the productMar 2014

V.Beta

Nov 2013

Asset Based Analytics CTP

Jun 2013

Performance & Qualitymonitoring

Mass generation & Display creation

Model developpementProve Of Concept

Business Test

Asset Based Analytics CTPIT Test

C- Some milestones

15

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

Agenda

16

V – The solutionThe 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

Z = f(HHVave ; Densityave)

High Heating Value

and Density sensor

Pressure sensor

Block : set of pipelines with

homogeneous pressure

LP = f(Pressureave ; Z)

figures:

• 60 sub-networks

• 500 Blocks

• 1500 pressure sensors

• 250 HHV sensors

• 150 density sensors

17

Root

Sub-network

Region

Block

V - The solution

19

V - The solution

20

V - The solution

21

V - The solution

Element templates Elements Tags Analysis templates Analysis

8 2493 7341 25 7079

22

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

Agenda

23

VI – Exploitation of results

24

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

Agenda

25

VII - Pros and Cons : Pros

Data archiving

Table Lookups

26

We need Delorean to

be released in order to

calculate the linepack

forecast

VII - Pros and Cons : Cons

27

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

Agenda

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

© Copyr i gh t 2014 O SIs o f t , LLC .

Solution Results and Benefits

Using PI AF and PI Analytics to Satisfy Demand

Fluctuations with Minimum Operational Expenditures

Business Challenge

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

30

© Copyr i gh t 2014 O SIs o f t , LLC .

Questions

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the microphone

before asking

your questions

State your

name &

company

31

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