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The digital twin for the optimization of a power plant’s lifecycle performance Dr. Holger Hackstein I Program Manager Digitalization, Power and Gas Division siemens.at/future-of-energy Unrestricted © Siemens AG 2017

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Page 1: The digital twin for the optimization of a power - · PDF fileGas Cooling / heating Smart electricity meters Wind or PV (private) Storage Diesel generator Microgrid E-mobility

The digital twin for theoptimization of a powerplant’s lifecycleperformanceDr. Holger Hackstein I Program ManagerDigitalization, Power and Gas Division

siemens.at/future-of-energyUnrestricted © Siemens AG 2017

Page 2: The digital twin for the optimization of a power - · PDF fileGas Cooling / heating Smart electricity meters Wind or PV (private) Storage Diesel generator Microgrid E-mobility

Unrestricted © Siemens AG 2017June 8, 2017Page 2 Dr. Holger Hackstein / PG TI INT

Easy-to-digitize industries have already started to change …… more complex industries will follow

Degree of maturity ofdigital business models

Energy

Discrete &Process

Industries

Health

Mobility

Trade

Media

Less complex industryBased on “Smart Service Welt” report / Accenture visualization

More complex industry

We are seeing an increasing digitization towards more complex industries

Digitialization, Sensors,Connectivity, Bandwidth,Data Capturing andStorage, Clouds,Analytics …

New Business Models,Ecosystem concept andParadigm shift: Fromproduct-focused touser-centric mindset …

Technical Drivers

Business Drivers

1

2

Tipping-Point!

Page 3: The digital twin for the optimization of a power - · PDF fileGas Cooling / heating Smart electricity meters Wind or PV (private) Storage Diesel generator Microgrid E-mobility

The DigitalTransformationis Happening Now

Page 4: The digital twin for the optimization of a power - · PDF fileGas Cooling / heating Smart electricity meters Wind or PV (private) Storage Diesel generator Microgrid E-mobility

Unrestricted © Siemens AG 2017June 8, 2017Page 4 Dr. Holger Hackstein / PG TI INT

Speed in this context needs a paradigm shift, ...

“By embracing humility — recognizing the inevitability of surprises and unknowns – and concentrating onsystems that can survive and indeed benefit from such surprises, we can triumph over volatility.” [McCrystal]

Focus:Efficiency(repetitive,plannable)

Focus:Adaptability

(fast, flexible,iterative)

Employees work forManagement andShareholder byserving customers.

Employees create a„Customer experience“or „Customer Value“ in

self-managed teams andare supported by their

leaders to do so.

[Ian Donald 2015][McCrystal et al 2015, p. 80]

Page 5: The digital twin for the optimization of a power - · PDF fileGas Cooling / heating Smart electricity meters Wind or PV (private) Storage Diesel generator Microgrid E-mobility

Unrestricted © Siemens AG 2017June 8, 2017Page 5 Dr. Holger Hackstein / PG TI INT

The energy system has changed fundamentally

Gas Cooling / heating Smart electricity meters

Wind or PV(private)

Storage

Dieselgenerator

Microgrid

E-mobility

Smart buildings

Conventional power gridElectricity

Heatstorage

Onshorewind

Large-scale PVinstallation

Storage(gas, liquids)

Biomass

Cogeneration

Gas distribution

Power to value(gases, liquids,

chemicals,)

Gas transport

Offshore wind farm

Onshore wind farm

Gas supplierGas plant

Districtheating(cooling)

Grid controlcenter

Hydropowerplant

Buildings,computer centers,nanogrid

Transformer

Substation SubstationFossil-fuel power plant

Page 6: The digital twin for the optimization of a power - · PDF fileGas Cooling / heating Smart electricity meters Wind or PV (private) Storage Diesel generator Microgrid E-mobility

Unrestricted © Siemens AG 2017June 8, 2017Page 6 Dr. Holger Hackstein / PG TI INT

Siemens Digital ServicesConnector between Physical and Virtual world

010100101001011001010110110101100101010110101100101010110010101101101011001010010010110010101101101011001010110010100101001011001010110110101100101010110110101100101001010010100101100101011011010110010100110110101100101001101011001010010100101001011010100101011011010110010101010110010100101001010010110010101101101011001010011010110010100101001010010110010101101101011001010010110010101101101011001010

Physical world Virtual worldSiemens installed base –300,000 connected systems

Insights from an average of more than17 TB operations data per month

Fleet management

Meter Data Management

Neural networks

Smart grids

Autonomous fault recovery

PLMCollaboration in the cloud

CAx

Embedded software

Image-guided therapy

Imaging software

Decision support

Traffic management

Efficient buildings

Analytics

e-Tolling

MES

Digital Factory

Page 7: The digital twin for the optimization of a power - · PDF fileGas Cooling / heating Smart electricity meters Wind or PV (private) Storage Diesel generator Microgrid E-mobility

Unrestricted © Siemens AG 2017June 8, 2017Page 7 Dr. Holger Hackstein / PG TI INT

Digital value chain: Accelerated iteration cyclesand better interaction with suppliers and end-customers

End-to-end process /loop for fast reactionto customer needsand new technologies

Faster interaction with suppliers,customers, and predictableproduction

Model-based virtual commissioning tospeed up later implementationFaster interaction with customer

New digital data-based services, e.g. outagemanagement, economic dispatch

New businessCustomer needs

Digital supply chainDigital factory and logistics

Digital asset optimization Digital services

Field dataField dataFieldfeedback

Supply chain

ManufacturingEngineeringCustomer

requirements Commissioning Operation Service

Page 8: The digital twin for the optimization of a power - · PDF fileGas Cooling / heating Smart electricity meters Wind or PV (private) Storage Diesel generator Microgrid E-mobility

Unrestricted © Siemens AG 2017June 8, 2017Page 8 Dr. Holger Hackstein / PG TI INT

Components in the 3D cave

Digitalization starts in developmentExample of Siemens steam turbines

Manufacturing | Final assembly

Digital Twin of raw components Virtual plant

• Design and feasibility study for development ofnew components in the 3D cave

• Interactive 3D models to simulate mountingprocesses and EHS issues

• Simulation of accessibility during mountingprocess and service

Supply chainEngineering | Design process

• Digitalization of forged raw components using a 3Dlaser scanner and provision of a 3D model by thesupplier

• Digitalization of components ensures dimensionalaccuracy from the very beginning of manufacturing

• Complete virtual simulation of manufacturing beforefirst raw componentsare supplied

• Full control of dimensional tolerances andreproducibility of data

• Analysis of turbine component shapesto prevent collisions

• Assembling in 3D cave ensures the control offeasibility and of potential execution forimproved steam turbine components

• Supply of the complete virtual plantto the customer

Page 9: The digital twin for the optimization of a power - · PDF fileGas Cooling / heating Smart electricity meters Wind or PV (private) Storage Diesel generator Microgrid E-mobility

Digital Twins allow us tofurther push the limits ofTechnologies and Products

Page 10: The digital twin for the optimization of a power - · PDF fileGas Cooling / heating Smart electricity meters Wind or PV (private) Storage Diesel generator Microgrid E-mobility

Unrestricted © Siemens AG 2017June 8, 2017Page 10 Dr. Holger Hackstein / PG TI INT

Everythingthat can bedigitalized

will bedigitalized

“Who” is the digital twin in case of a power plant?

3D Image Twin

Documentation Twin

Thermodynamic Twin

Simulator Twin

Digital Twin

Reliability Twin• Lifing• Anomaly

Page 11: The digital twin for the optimization of a power - · PDF fileGas Cooling / heating Smart electricity meters Wind or PV (private) Storage Diesel generator Microgrid E-mobility

Unrestricted © Siemens AG 2017June 8, 2017Page 11 Dr. Holger Hackstein / PG TI INT

Data Lake (data center or “cloud based”)

Digital offerings based on customer requirements prioritizedand agile pilot defined

KPI benchmark

3D walk through

Early warning system

Fleet monitoring

Asset info. Mgmt.

Power plant data lake

Diagnostic

Bidding support for interconnection to grids

Active safety

Digital Transform

Performance optimization

Prediction on availability and generationcapacity

Reliability-centered Maintenance(RCM)

Digital application

Anomalydetection

Performanceoptimization

Diagnostic

3D VirtualPlant

As – built Power PlantDesign data

MaintenancedataPilot 2 digital offerings in SPIC Project in June, 2017 (China)

Supply chain

ManufacturingEngineeringCustomer

requirements Commissioning Operation Service

MKWhProduction

MKWhProduction

MKWhProduction

MKWhProduction

1

7

6

2

3

4

5

13 digital offerings identified & fast-track pilot defined

8

13

9

10

11

12

Historian & real timesensor data

Page 12: The digital twin for the optimization of a power - · PDF fileGas Cooling / heating Smart electricity meters Wind or PV (private) Storage Diesel generator Microgrid E-mobility

Unrestricted © Siemens AG 2017June 8, 2017Page 12 Dr. Holger Hackstein / PG TI INT

The digital power plant

Short Video Presentation

Page 13: The digital twin for the optimization of a power - · PDF fileGas Cooling / heating Smart electricity meters Wind or PV (private) Storage Diesel generator Microgrid E-mobility

Unrestricted © Siemens AG 2017June 8, 2017Page 13 Dr. Holger Hackstein / PG TI INT

Why can we help to push limits of technology and products?

Siemens – A world class partner you can trust!

We understandDigitalization

We understandyour Business

We understandAnalytics

We understandSecurity

We have aproven

Track Record

Page 14: The digital twin for the optimization of a power - · PDF fileGas Cooling / heating Smart electricity meters Wind or PV (private) Storage Diesel generator Microgrid E-mobility

Unrestricted © Siemens AG 2017June 8, 2017Page 14 Dr. Holger Hackstein / PG TI INT

Contact

Dr. Holger HacksteinProgram Manager DigitalizationDivision Power and Gas

Kaiserleistraße 1063067 Offenbach am Main

Mobile: +49 (173) 3477993

E-mail:[email protected]

siemens.at/future-of-energy