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www.tecnatom.es All right reserved ® 2018 1 2018 SIMULATOR BENEFITS BEYOND TRAINING. ENGINEERING ACTIVITIES SUPPORT Tecnatom 2018 Proprietary information

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1

2018

SIMULATOR BENEFITS BEYOND TRAINING.

ENGINEERING ACTIVITIES SUPPORT

Tecnatom 2018 Proprietary information

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2

Rationale

Examples

Conclusions

Outline

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3

Rationale

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4

✓ Models fully compliant with first principles

equations; complex phenomena based on

engineering grade “best estimate” codes.

✓ Logic and control models sharing the same

components as their equivalent systems at

the Plant:

✓ L&C Simulation (early stages of design)

✓ Emulation or Stimulation of L&C

✓ Simulators can run in real-time or faster than

real-time.

Preliminary Conclusion:Simulators possess a predictive

capability that enables to forecast the plant behavior and therefore, they can be used to optimize the

design and implementation timeframe of plants modifications

Modern Simulators features

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Graphical, User friendly and real-time connected tools to supportthe analysis: DCS translators (L&C and HMI)

Modern Simulators features

DCS Translator

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Graphical, User friendly and real-time connected tools to supportthe analysis: Excel based on-line debugger

Modern Simulators features

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SAE applied to:• Assessment of Plant Design Modifications

• Validation and Tuning of new I&C Digital Systems

• Validation of New Operating Support Systems (Computerized

Procedures, Alarm Filtering, etc)

• Validation of New Control Rooms (HFE/HSI systems)

• Operating Procedures Validation

• Safety Analysis Support

Different solutions:

• Specific Engineering Simulators/Plant Analyzers

• Use of Training Simulators to support Engineering activities

Simulation as an engineering support tool

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Problem analysis Options study Plant modification design Pretunning Installation Comissioning Start up Operation

Project Cost Analysis with and without SAE

SAE activities

Reduction of mistakes

founded during installation,

FAT, SAT and comissioning

training &

mistakes reduction

training

Problem

analysis

Options

study

Plant

modification

developmentPretunning Installation

Comissioning

FAT and SATStart up

Normal

operation

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9 Project overcost without SAE due to project delay

Reference Price 35 $/MWhNPP Power 1.000 MW1 hour delay 35.000 $1 day delay 840.000 $

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• Grid instabilities cause the Main generator to trip, resulting on a plant trip• Following the Scram Procedure the reactor operator proceeds to turn the Reactor Mode

Switch to Shutdown and to complete the rest of the scram recovery actions• When looking at the Reactor Mode Switch, the reactor operator is not sure of its position

• Is it in Shutdown or Startup? • Does the switch rotate more than

360º?• Trying to figure out the position of

the RMS, the reactor operator turns it a couple of times. Before After

Who wants to explain that to the regulator???

Example. A simple HW change of the Reactor Mode Switch

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• A Design Verification (Nureg 0700) it will require 1 hour (including documentation of findings)

• Implementation of the Design Modification in the FSS first, no extra cost, just better planning. Either simulator tests or training would have detected the flawed design

How could this event be avoided?

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12

Examples

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OBJECTIVE:

Determine the best tuning for the SG level control

• Stability under any operational condition

• Avoid Reactor trips

ACTIVITIES:

• Development of new steam generator model, based on TEAM-TRAC.

• Model Validation against manufacturer design data

• Validation tests were established and stability analysis was performed

ANALYSIS KEY FACTORS:

• The high fidelity of the steam generator model

• Real time graphic analysis and interactivity capabilities.

• Identification of the most limiting transients

STUDY CONCLUSIONS:

• A stability range of the control parameters was defined

• Final parameters were proposed and implemented in the plant.

AREVA: NEER-G/2006/en/0152SMR: 13 MAY 2009

0

5

10

15

20

25

0 10 20 30 40 50 60 70 80 90 100

Circulation ratio SMRCirculation ratio AREVA

60

62

64

66

68

70

72

74

76

78

0 500 1000 1500 2000

T34 = 5.2 minT34 = 2.6 minT34 = 10 mingeneric controlwcap-9284generic control (2)

50

55

60

65

70

75

80

85

90

0 100 200 300 400 500 600

SG level t34=2.6 min

SG level t34=5.2 min

SG level t34=10 min

SG level generico

SG generic repeat

SG level wcap 9284

Angra I. Steam generators replacement

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OBJECTIVE:• Determine whether the new control based on

OVATION is accurate and better tan the former one

ACTIVITIES: • Installation on the new control system, with a

stimulated solution, 15 months before the plant installation.

ANALYSIS KEY FACTORS:

• Capability to run transients in any range of operation

• Coexistence of both control systems (new and old)

STUDY CONCLUSIONS:• 21 discrepancies identified, related with

configuration, integration and logic

6 Discrepancies during the installation in the simulator

10 Discrepancies during the validation

5 Discrepancies during the advanced operators training

Angra I. Feed Water Control Replacement

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OBJECTIVE:• Optimize the Plant first Start-up Process

ACTIVITIES:• In advance execution of plant start-up and test

procedures.

• Verification of unexpected behaviors, allowing their analysis and understanding, and eventually defining strategies for their resolution.

• Optimization of control loops to determine the stability point

ANALYSIS KEY FACTORS:

• Simulator available 18 months before plant Start-up

• Simulator capability to on-line adjustment of control loops.

• Capability to execute an unlimited number of scenarios

STUDY CONCLUSIONS:

• The plan virtual start-up in the simulator reduced dramatically the real plant start-up time, avoiding unexpected incidents

Atucha II. Supporting the plant Start-up

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OBJECTIVE:

• To identify and analyze the equipment constraints in the BOPsystems

ACTIVITIES:

• A new specific simulation tool was developed based onTEAM suite and previous FSS models

ANALYSIS KEY FACTORS:

• Interactive capabilities to modify the componentscharacteristics on-line

• User interface based on EXCEL

STUDY CONCLUSIONS :

• Constraints in heater drain pumps and condensate pumpwere identified.

• Purchase Specification for the new pumps was established

Cofrentes NPP. Power Uprate Project

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Simulated Assisted Engineering with Mark VIe

Design modification:Replacement of the analog control system by General Electric MarkVIe digitalFeedWater Level Control and Feed Pump Turbine Control

• Increased efficiency and safety during commissioning.

• Early error detection and confidence in the new control system

• Licensed personnel trained before the plant design modification

• Review and validation of operating procedures

• HFE validation and enhancement of Human Machine Interface

STUDY CONCLUSIONS :

PRIOR IMPLEMENTATION IN THE FULL SCOPE SIMULATOR

Applying Tecnatom´s methodology:▪ Installation of MarkVIe in FSS▪ Carrying out of testing program▪ Simulation Assisted Engineering activities

Tuning of MarkVIe

control system

Improved version

Plant modification

Cofrentes. Feed Water Control System

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18 Tecnatom’s experience

• Atucha II:

• Tool to support the plant Start-up (In advance execution of start-up sequence, verification of unexpected behaviors, control loops optimization)

• Cofrentes NPP:

• Replacement of control level valves in plant start up.

• Steam valves replacement by ejectors.

• Available operation time to change the ejectors train.

• Power generation breaker installation.

• Plant power uprate to 112% .

• Level master controller capacity.

• Honeywell DCS set up (several phases).

• P40 system hydraulic analysis.

• FW/CD system hydraulic analysis.

• MSRs alternative drain analysis

• Turbine control DCS Mark-VI plant installation and validation.

• Feed Water Mark-VIe control validation

• Almaraz NPP:

• Steam Generators replacement (TH GV y FW, FW control).

• Available time to avoid SI after a reactor trip

• Turbine change (control valves capacity in loss of performance transients).

• High level trips analysis caused by unbalanced operation on the 17/07/1999.

• Turbine DEH Manual closure behavior when 200%/m and 133%/m.

• New SCDR implementation (24 control loops).

• New DCS for MSRs drains.

• New SSGG control level stability analysis, MSRs, tracking activated or not, control loops configuration ...

• Plant power uprate to 108%.

• Analysis of the software used to calculate the core power generation.

• RHR safety valves capacity analysis

• Auxiliary Feed Water new control system

• Ascó NPP:

• New Steam Generators

• Control level response in turbopumps speed demand steps avoiding run-out zone.

• Pressurizer control level optimization.

• Turbine runbacks efficiency analysis.

• Low power problems analysis with FW fail to one SG.

• Vandellós NPP:

• Turbine valves capacity to accept a TM program drop.

• Operation feasibility with one spray valve unavailable.

• Steam collector depressurization pace through seals and purges.

• Blackout available time without diesel in starting core melting.

• EG system capacity analysis with flow reduction.

• EJ new system start up.

• EG performance with limited flow

• Turbopumps DP program changes verification.

• Trillo NPP:

• Analysis of involved logic in YP instrument failures.

• Analysis of consequences when the YA20T055 transmitter is replaced by other similar from other loop.

• Protection logic goals surveillance.

• Neutronic noise impact simulator in protection logics.

• Teleperm XP installation (Process Computer and Protection logic goals surveillance).

• Teleperm XP installation (Turbine control)

• Angra I NPP:

• New Steam Generators impact (TH GV y FW, FW control).

• New ADFWCS implementation at plant.

• Other:

• SAGAs (Simulador Aires Gases central térmica de carbon) (8).

• Simulation Severe Accidentes in Spent Fuel Pools using MAAP5

• Kaxu: Analysis lost of performance in the thermodynamic cycle.

• Atacama: Optimization of the seals flow control loop.

• Xina: Optimization of the expansion and overflow tanks control.

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1• Problem identification

2• Involved models scope analysis (the existing models are valid or……)

3• Test plan design

4 • Test plan execution and engineering analysis

5• Uncertainties assessment and conservative measures

SAE Methodology

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Conclusions

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Improvement in quality,

time and cost

Early detection and correction

of design errors

Control loops tuning

Verification of safety limits

Minimizing of uncertainties

and confidence building

Prior training of licensed

personnelReview and validation of

operating procedures

Latent errors reduction

HFE improvements

SAE Benefits

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22 Conclusions

• Actual simulators have the necessary features and accuracy to use them as predictive tools

• Actual simulators provide adequate tools to support/complement the engineering analysis

• To warrant the simulators’ analysis conclusions, it is necessary to use a well stablished methodology

• Increased knowledge of the system facilitates an enhanced training and builds confidence in the simulator as a training tool

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23 Conclusions

• Different disciplines are benefited from SAE (Mechanical, I&C, HFE, procedures, training, …)

• Use of SAE means saving time and money, increasing plant safety and reliability

• Simulator is a big investment. Take advantage of your simulator.

• SAE process is not necessary expensive and sometimes is just a fancy name for a modification project you will be doing in your simulator anyway.

• Involvement of the operation personnel in the project improves the quality of the final product and the plant modification acceptance

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“©2017 Tecnatom, S.A.Todos los derechos reservados. El contenido de esta obra está protegido por la Ley y no podrá serreproducida, ni en todo ni en parte, ni transmitida, ni registrada por ningún sistema derecuperación de información, en ninguna forma ni por ningún medio, sin el consentimiento previoy por escrito de Tecnatom, S.A. y de sus autores.Tecnatom y el logotipo de Tecnatom son marcas registradas de Tecnatom, S.A.”

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“©2017 Tecnatom, S.A.Todos los derechos reservados. El contenido de esta obra está protegido por la Ley y no podrá serreproducida, ni en todo ni en parte, ni transmitida, ni registrada por ningún sistema derecuperación de información, en ninguna forma ni por ningún medio, sin el consentimiento previoy por escrito de Tecnatom, S.A. y de sus autores.Tecnatom y el logotipo de Tecnatom son marcas registradas de Tecnatom, S.A.”

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