numerical solutions: a means to analyse and … · case study: the stema bim project objectives of...

20
NUMERICAL SOLUTIONS: A MEANS TO ANALYSE AND EXECUTE SAFE, COST-EFFECTIVE LIFE EXTENSION PROJECTS OF OPERATING NUCLEAR POWER PLANTS - A DATA-CENTRIC APPROACH NICHOLAS MORRIS ARTHUR MARGARIT

Upload: lyque

Post on 05-Jul-2018

219 views

Category:

Documents


0 download

TRANSCRIPT

NUMERICAL SOLUTIONS: A MEANS TO ANALYSE AND EXECUTE SAFE, COST-EFFECTIVE LIFE EXTENSION PROJECTS OF OPERATING NUCLEAR POWER PLANTS

- A DATA-CENTRIC APPROACH

NICHOLAS MORRIS ARTHUR MARGARIT

SUMMARY

ASSYSTEM ENERGY & INFRASTRUCTURE

ASSET MANAGEMENT CHALLENGES & DCA

CASE STUDY: THE STEMA BIM PROJECT BENEFITS & PERSPECTIVES

CASE STUDY: THE STEMA BIM PROJECT

OBJECTIVES OF THE PRESENTATION

• Demonstrate the benefits of a Data-Centric Approach (DCA) as a key enabler to leverage the advantages offered by modern digital solutions

• Illustrate through a case study conducted on a nuclear installation in O&M phase

ASSYSTEM ENERGY & INFRASTRUCTURE, ENABLER OF ENERGY AND DIGITAL REVOLUTIONS

4 4

Assystem Energy & Infrastructure at a glance

4000 employees

€ 400m 2016 revenue

Assystem is an independent consulting & engineering company Supporting public bodies, utilities and Original Equipment

Manufacturers in the management and engineering of their Research & Development and Capital Expenditure projects

Specialized in complex projects in industries facing strong safety and regulation requirements

Using state of the art digital engineering tools

More than 50 years of experience

20 countries

• Belgium • Canada • France • Germany • India • Malaysia • Morocco

• Nigeria • Portugal • Qatar • Romania • Russia • Saudi Arabia • Singapore

• Spain • Switzerland • Turkey • UK • United Arab

Emirates • United States

58%

14% 10%

7% 4% 4%

NUCLEAR POWER BUILDING INFRA LIFE SCIENCE OIL AND GAS INDUSTRY

3%

OTHER

Turnover per sector

5 5

Assystem’s added value and commitments

AREVA CEA EDF

GSK RATP RENAULT NISSAN

ROLLS ROYCE ROSATOM SANOFI

SAUDI ARAMCO SAUDI ROYAL COMMISSION

SNCF TOTAL

They trust us

FOCUS ON DELIVERY TO RESPECT PLANNING AND BUDGET

SUCCESSFUL TRACK RECORD IN COMPLEX PROJECT MANAGEMENT AND SECURITY & CONTROL SYSTEMS

INDEPENDENT FROM ALL TECHNOLOGY PROVIDERS

ETHICS, SAFETY & HSE AT THE CORE OF OUR ACTIVITIES

WITHIN THE TOP 5 NUCLEAR ENGINEERINGS WORLDWIDE

A DEEP KNOWLEDGE OF OUR CLIENTS’ BUSINESS

ASSET MANAGEMENT CHALLENGES

7

Asset Management Challenges

Initial Statement • It is common knowledge that high-quality data is invaluable to asset managers in decision-making relative to:

• Capital and operational expenditure; and • The scheduling of works in a safe and cost-effective manner.

• In the case of NPPs, this data is already readily available for use by the:

• Owner; • Operator; and/or • Contractor.

• However, the sheer volume of data and ease with which this information can be misplaced is all too

commonplace in the nuclear engineering sector

8

Asset Management – The Data Challenge

In the context of a sequential, document-based, complex engineering feat involving multiple stakeholders (e.g. an NPP), the optimal use of data is hampered due to 3 root causes:

Difficult access to information

No integrated data configuration management

Little use of digital solutions

The sheer volume of data leads to increased time and effort in retrieval and exchange of data amongst stakeholders

Risk of using superfluous data results in complex (also cost-inducing) modifications at later stages

Obsolescence and non-interoperable tools prevent from optimally leveraging asset data, leading to unexploited value

The consequence? Increased Time + Effort + Cost => Overall Lower O&M Performance

9

The Data-Centric Approach (DCA)

Data > Tools and Applications: a shared model is maintained and used as a common reference for applications that are added in to meet specific needs

Reduces quality escapes as synchronisation and updating of data is facilitated

Fosters data addition as the final model can be enhanced and new functionalities easily integrated

Maximises effectiveness when combined with digital solutions

DCA = data is the primary asset

DCA is an enabler

10

Asset management – The Data Opportunity

Engineering Data

Many data types can be collected … … and leveraged for different purposes

• Physical and functional attributes of the asset

Maintenance Data

• Recording of regular and event-driven inspections

• Inventory and spare parts

Asset Register

Asset Condition

Financial Data

Asset Performance

• History and traceability of operational life events

• Real-time data (sensor data…)

• Reliability, continuity

• Real-time monitoring

• Management of maintenance activities

• 3D modelling of post-design modifications

• Optimized work scheduling (4D) and dynamic task allocation

• Predictive maintenance

• Virtual preparation of critical

interventions (VR)

• On-site data access for field workers (portability)

• Data-driven O&M decision making

(ex-post and ex-ante analytics)

• and more …

• Costs and accounting

CASE STUDY: THE STEMA B.I.M. PROJECT

12

The STEMA Project

Project Overview • New-build unit for filtering and cementing radioactive

effluents on CEA MARCOULE site (south of France)

• Currently in commissioning phase

2 separate units for dumping of effluents and cementing process

Nuclear-specific equipment and process

Complex layout due to strong implantation constraints

Advanced safety features (LILW)

Assystem is the EPCm leader of STEMA installation

13

The Case Study

Design & Studies Construction & Commissioning Operating & Maintenance Decommissioning

Address sector-specific concerns such as complex time-critical interventions (e.g. NPP shutdowns), safety-critical systems LTO, asset knowledge management… Focus on business value by choosing data for which the most value can be created for the owner and the operator

Develop an Asset Model of the STEMA installation that will bring value during O&M

Case Study focus: lean, outcome-based DCA

14

Asset Data

15

The Output REAL-SCALE ASSET MODELLING REALIZED IN 4 MONTHS END-TO-END

• Simplified and functional 3D model of the installation complemented with an entire building pointcloud scan

• 4000 equipment with an average 30 data attributes per equipment (product data and details, cut sheets, manufacturer information and contacts, etc)

• Can be used as the basis to develop and deploy various utilisation scenarios

16

Utilisation scenarios

Identification of safety-critical systems

Direct access to equipment localisation and properties

Extraction of bills of quantities / bills of materials

Direct link to documents and datasheets

Realistic visualisation and accurate measurements in pointcloud vision

Space management (radiological zones, storage areas…)

17

Immediate Benefits

Reduction in number of surveys

THE ASSET MODEL OPTIMISES COST OVER LIFETIME THROUGH 4 PRODUCTIVITY LEVERS

More effective preparation of interventions

• Measurements are made in the pointcloud scan • Bill of quantities are extracted from the mock-up

• Work-zones are visualised prior to intervention • Quicker access to plant configuration and information

• Easier navigation, traceability and retrieval of information

• 3D mock-up for use by operator but also external contractors to implement modifications, perform early clash management, identify the most efficient and safe order in which to schedule works

Reduction in number of quality escapes

Optimised implementation of modifications

CONCLUSION

19 19

Documents

Quantities

Analytics

2D drawings

Plant data

• Zoning plans (fire, radiological…)

• Space management

3D model

• Automatic publishing of layout plans (floor, networks…)

• Data quality checks

• Data completeness verifications

• Extraction of material bills

• Automatic surveys (volumes, linears..)

Asset model

Laser scan

• Accurate measurements

• 360° pre-visualization of work zones

• Link with technical datasheets, asset register or others

• Equipment data and details, manufacturer information…

Traceability of operational events • In-context

design of modifications

• Geo-localization of systems

More effective preparation of Interventions

Reduction in no. of on-site surveys

Reduction in no. of quality escapes

Optimized implementation of modifications

Conclusion Data leverage for decision-making

Inner Circle: Data Medium Circle: Functionality Outer Circle: Customer / User Value / Business Impact

Today’s focus: O&M Reality: full NPP lifecycle application