OPTIMIZ software for estimation of hydraulic plants global performances in all their operating configurations Features and global structure

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OPTIMIZ software for estimation of hydraulic

plants global performances

in all their operating configurations

Features and global structure

IGHEM 2012

Jean HERAUD

EDF DTG France

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Division Production Ingénierie Hydraulique - DTG

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INTRODUCTION

DTG is a unit of EDF dedicated to on-site

measurements (based in Grenoble)

EDF DTG developped in 2011, a tool called

"OptimizV2" which, knowing :

the intrinsic performances of units (directly taken from site

measurements)

loss coefficients in pipes,

….gives the performance of the plant in all its

operating configurations

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INTRODUCTION

This allows an optimization of the use of the

plant :

Knowledge of the power levels associated with

efficiency peaks (whatever units running, whatever

head)

Knowledge of power margins available for

contracting system services (Power-frequency

regulation)

Besides, it allows for major hydraulic plants, a

monitoring of power

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INTRODUCTION

This tool version 2 already exists (macros Excel VBA)

and version 3 is being currently developped (intranet

server with mathematical part on Matlab)

Version 3 has extended functionalities

The following issue presents the features, uses and

structure of this product.

jour mois année D41**/TRA/2011-*****-A

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Presentation of the tool

Hydraulic model of a plant

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Presentation of the tool

Hydraulic model

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Presentation of the tool

Hydraulic model

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Screenshot OptimizV3

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Presentation of the tool

Hydraulic model

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Presentation of the tool

Hydraulic model

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Division Production Ingénierie Hydraulique - DTG D41**/TRA/2011-*****-A jour mois année

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Presentation of the tool

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Real screenshots of OptimizV3

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Screenshots V3 : Creation of a

hydraulic model

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Screenshots V3 : Affectation of

performance datasets to groups

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Screenshots V3 : Creation of

performance datasets

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Screenshots V3 : Creation of

series of datas (in a dataset)

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Optimiz allows a visualisation of input data

and of the interpolation curves associated.

It allows to check :

the quality of interpolation

the coherence of the data at various net head

values …

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Presentation of the tool

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Presentation of the tool

visualisation of input data (V2)

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Screenshot V3

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Presentation of the tool

Simulator screen (OptimizV3)

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Presentation of the tool

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Presentation of the tool

Graphs

The tool (V2) is already able to generate curves for variations of

load or head.

Superposition of curves is possible

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Presentation of the tool

Calculation of production and energetical coefficient

OptimizV3 will be able to calculate for a monitored

period of supervision :

the production of the plant

or the energetical coefficient (kWh/m

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It will be able to simulate what would be produced

and the Energetical coefficient (kWh/m3) with another

Hydraulic model.

This is useful when you try to justify the added value

of a new shape of turbine for example.

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Comparisons can be made :

At equal power of order for the energetical coefficient

(kWh/m3)

At power amplificated by a multiplicative factor for

comparison of energetical coefficient

At equal flowrate for comparison of production or energetical

coefficient

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Presentation of the tool

Calculation of production and energetical coefficient

(2013)

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By monitoring head and openings, it is possible to

simulate the expected power.

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Presentation of the tool

Monitoring (2013)

Expected

power

Monitored

power

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Presentation of the tool

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This monitoring may allow to :

Detect technical defects



Power measurement defects



Opening organs measurement defects



On Kaplan/bulb : Defects in optimization blades / wicket gate

highlight incidents harmful to the units :



Power losses by obstruction (wood stuck in the wheel, the

spiral case, the injector ...)

highlight performance trends emerged in the long term or

after work



abnormal loss of performance:



significant wear of the wheel and labyrinths



poor axial setting of the wheel

detect losses in adductions (

silting of the gallery or degradation

of internal coatings

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The tool is based on a matricial Newton

Raphson iterative resolution.

The aim of the iteration is the

convergence of

the vector of the total head calculated

towards the target value total head.

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Structure of the tool

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To transpose Power and Flowrate at different

net head values, α and β coefficients are

used, defined as :

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If net head values of the input performance datasets

frame the net head of transposition, weighted

average is realised between the transpositions from

various sources.

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Structure of the tool

P

Opening

Input Datas 1

(Hn1)

Input Datas 2

(Hn2)

P1

P2

P

P : Ponderated average of P1 et P2

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Conclusion

The need of a tool like Optimiz is

universal for operating units at their best

and manipulating easily the results of

performance measurements.

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