digital solutions for power generation and energy ... · 2 digital solutions for power generation...

Digital Solutions for Power Generation andEnergy Management for Thailand 4.0

Bangkok, August 29th, 2017Michael Weinhold, CTO Siemens Energy Management

siemens.comRestricted © Siemens AG 2017

© Siemens AG 2017Digital Solutions for Power Generation and Energy Management for Thailand 4.0, Bangkok, 29.8. 2017 Michael Weinhold, EM TI

Agenda

1 Energy System 4.0

3 Digital Solutions for Energy Management

2 Digital Solutions for Power Generation

4 Outlook


The Energy Revolution: Big Picture

Distributed Energy Systems

Distribution and ConsumptionTransmission

From centralized powerand unidirectional grid …

… to fully integrated & intelligentCentral and Distributed EnergySystems and bidirectionalbalancing (= Energy 4.0)

Distance fromsource to load

Refurbishment/upgrades

Decentralization(public/private)

Changinggeneration mix

Generationcapacityadditions

3 5421


Three major factors are driving the revolutionof energy systems

• Wind Power Generation• Photovoltaic Power Generation

(PV)• Digitalization

Upcoming: Artificial Intelligence• Energy storage (Li-Ion Batteries)• e-Mobility• Power-to-x

Consumer-centric

energy world

Breakthrough technology

• Energy efficiency leads toincreasing electrification

• CO2 reduction targets leadto increasing renewablepower generation

Political targets

• From passive consumersto active participants

• Own energy generationsystems (e.g. nano-grids)

Changing customerbehavior


~18

2015 2020

~9

2025

~14

The revolution of energy systems has just started…

2030

~32

60%

40%

2020

~26

71%

29%

2010

~21

80%

20%

ConventionalRenewables

2030

~303

14%

58%

29%

2020

~191

20%

47%

33%

2010

~90

45%19%

36%

OthersSolarWind

2030

~444

33%

67%

2020

~358

38%

62%

2010

~373

51%

49%

centraldecentral

Connecting Grids

Note: Siemens assumptions based on market and industry analysts

Generation in 1000 TWh

Increased electrification…

ƒ in emerging countries e.g.China, India, Indonesia

ƒ of building heating andindustrial processes

ƒ of mobility (eCars, eBus,..)

Growing electricity supplyNew installations in GW p.a.

Increased distance to Load /Need for Balancing

ƒ Reinforcing national grids

ƒ Interconnect national grids

ƒ Connect large Renewables

Increase of Renewables Distributed Power GenerationNew installations in GW p.a.

DES & critical power systems

ƒ Energy storage solutions

ƒ Micro- /Nanogrids arising

ƒ Low & Medium Voltagegrowth

Digitalization & Automation

Drives agility in energy systemsƒ Sensors / meters provide data,

IT solutions make it actionable

ƒ New market participants

ƒ New pricing / business models

ƒ Efficient Asset Management

New Smart Meter installations(Electricity, Gas, Water) in mio units p.a.

Smart Grid IT Spendingsin bln USD

2015

~50~90

2020

~100

2025


Power to X

Renewables and conventional

e-Mobility

Distributed energy

HVDC / FACTS

Customer engagement

Grid stability

Forecasting

Generation control

Security

MDM

Digitalization drives dramatic change in energy systems

Automation

DigitalizationElectrification

Affordability Availability Environment

HVDC/FACTS = High Voltage Direct Current/Flexible AC Transmission Systems MDM = Meter Data Management

Agility inenergy

Energy Storage


Agenda

1 Energy Systems 4.0



4 Outlook


Using the power of 25+ million operating hours of diagnosticsexperience

Leveraging data insights to …

increase productivity

increase efficiency

increase flexibility

increase performance

increase reliability

Elaborateddetection of

abnormalbehavior

230,000+sensors

monitoreddaily

> 530+ largeGas Turbines

monitored

Processeddata per day:

9+ GB

> 130 SteamTurbines

monitored

5.5+ Millionsensor hours

processedper day

25+ Terabyteshistorical

data inproduction


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

Digital Twins allow us tofurther push the limits ofTechnologies and Products


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


Digitalization and data transform how serviceis delivered and create value for customers

Customer TechnicalSupport

Remote fleet support viasecure connections andadvanced algorithms toincrease availability

Analyticsknow-how Value-driving outcomesData Domain

know-howContext

know-how+ { } =Remote OutageServices

Connected service teamswith real time OEMsupport around the globe

SiemensApps

Improvements invisualization, technicalresponsiveness andconsulting

Flexiblecontracts

Customized scope,interval and performancebased on your uniqueneeds


References


Siemens Digital Solutionƒ Using reliability studies based on

operational data and remotediagnostics to support decision toexchange capital part or not

ƒ Advanced data-driven analytics andSiemens condition-based monitoring

ƒ Alignment of required majorservicing of the gas turbines tomatch three-year interval

Secure data exchangevia Siemens Sinalytics platform

Higher uptime byflexible overhaul scope

and flexible timing

Increased uptime byenhanced data-driven analytics

ƒ Looking for equipment toincrease its production capacity

ƒ Continued peakoperational performance

ƒ Need for sync´of programmedplanned outages with gas turbinemaintenance

ƒ Pre-defined shut-down periods

Customer Challenge

ƒ SGT-600 Gas Turbine

ƒ STC-GV (80-6)Gear-typeCompressor

ƒ Electrical Generator

Customer: PROFERTIL Application: Fertilizer plantLocation: Argentina, Bahia Blanca

Equipment:

Page

Digital Services for Energy supporting unique needs withinnovative, data-supported flexible service offerings


Cybersecurity for OT

“…We are pleased with the increase in cyber security capability associated with the Siemens SecuritySolution… we plan to budget for the Siemens Security Solution at our three other Siemens sites…”

T.L. Bosworth – PM, FPL - Power Generation Division

FPL Port Everglades, FL, USA

3 on 1 combined cycle plant (1,300 MW)

Comprehensive cybersecurity solution for OT

Customer needsCustomer needs

ComplianceMeet NERC CIPregulations

OT cyber securityComprehensive securitysolution for plant reliability

Step 3Test

• Cybervulnerabilityassessment

Step 4Monitor & Maintain

• Patch mgmt. andmalware updates

• Intrusion detection

• Event monitoring

Step 1Evaluate

• Gap assessment• Security Program

Standup

Step 2Implement

• WhitelistingDeployment

• Security aware-ness Training

Complete cyber security solution offerings


Origin Energy: Fleet Center Solutions for centralizedmonitoring, management and dispatch of power generation fleets

“Every single one of our stations, even different units on thesame station, required a completely different set ofsystems, protocols, procedures and communications tostart -with little or no support from a central organization.”Jim Cooley, Monitoring and Support Center Manager, Origin Energy

Start-up reliability:↑ to 98%

Manual operator action:80% ↓

Maintenance costs:>10% ↓


Agenda

1 Energy System 4.0



4 Outlook


Other Siemens and 3rd party

Energy Management offers customers an open and standard-basedend-to-end architecture from field level to applications and services

Software and Services

AUTOMATION

DIGITALIZATION

ELECTRIFICATION

Maintenanceand Usage

Operationsand Control

Planningand Simulation

EnergyIP applications,analytics: distributed,“Internet of Things”

Spectrum Powergrid operations/control: Central

PSS® grid planningand simulation:Digital Twin

1 2 3

EM Assets

HV AIS HV GIS PT DT PAC metersMV Swg LV systems LV Circuit Breakers

MindSphere

0111

100101

0111

100101

0111

100101

0111

100101

Field area networks:

Sensors, meters, controls, concentrators

Datamodel

Substation:

Automation and protection

DataMadel


Advanced Control Center for PJM Interconnection –North American transmission organization

Safety & securitySpeed to market Spectrum Power ensures stability and security

of North America’s largest transmission grid• Groundbreaking dual, “hot” control centers to

operate the grid independently or jointly as onesingle virtual control center

• Industry changing solution: Secure and model-driven shared architecture platform jointlydeveloped by Siemens and PJM

Benefits• Increased security and reliability of the grid• Easy integration of IT systems, investment

protection and faster innovation


The innovation: Converter using intelligent control software


ULTRANET, Germany, 2021World’s first VSC HVDC with full-bridge converter

Customer Amprion / TransnetBW

Project Name ULTRANET

Location Osterath – Philippsburg, Germany

Power Rating 2000 MW, bipolar

Type of Plant HVDC PLUS in full-bridge topology, 340 km

Voltage Levels ± 380 kV DC, 400 kV AC, 50 Hz

Semiconductors IGBT


Digital Substation / Scope

Digitalization of Process Level1

Grid Operation Support2

Asset Management Support3

Cyber Security4

Integrated Engineering5

Non-conventional Instrumenttransformers (NCITs)Provide primary values to the mergingunits based on new principles

1Merging Units (MU)Converts analog primary values indigital information(Sampled Measured Values)

1Process BusCommunicate field data to protectionand control system based onIEC61850-9-2

1

SensorsProvides more information of currentstatus of the electrical equipment

3Substation Control RoomStation bus based on IEC61850 withProtection and Automation

2 3 4 5

Page 22


At the front edge of digital innovation:Elhub: Market transaction management, Statnett, Norway

EnergyIP® 8• Meter Data Management

(MDM) application• Market Transaction

Management (MTM)

Benefits• Peak avoidance• Distributed optimization• CO2 and cost avoidance• Allocation of grid losses

and unaccounted energy

DSO: Distribution System Operators TSO: Transmission System Operators MTM:Market Transaction Management

SiemensEnergyIP

MTM

Wind Solar e-Mobility

DSO Generation TSO

End-Point/MeteringPoints

3rd party andother entities

Retailers

DSOEnd user

MarketPlayer Entities

Integration


Pumped storage H2/Chemicals Battery Thermal

Energy storage applications and sector couplings

Application cases by location of storage

CentralLarge Utilities

Grid stability, self-supply,electro-mobility

Power to gasPower-to-chemicals

Grid balancingand stability

Power-to-heating and -cooling

DistributedSmall utilities, municipalities, industry – prosumer

Electricity Electricity Electricity Heating, CoolingH2/Methane(gas grid)

H2 Fuelfor car


Off-grid electrification of an entire islandVentotene, Italy

• 500 kW / 600 kWh SIESTORAGE accompaniedby a Microgrid Controller for a stand-alone grid

• Optimized diesel engine operation

• Management of electricity from renewable sourcesduring periods of low load

• Reduced diesel emission for 4 hours /day in winter season

• Network stabilization

Safety & securityUptimeEnergy efficiency


Island of Ventotene, ENEL, Italy:SIESTORAGE and SICAM Microgrid ManagerSustainable and independent microgrid

10-15%Oil/CO2savings

Off-gridelectrification…Increased use ofrenewable energy andoptimized fuel engineoperation

Grid stabilization


Reference projects demonstrate the broad range of differentprosumers in a Distributed Energy System

Data analytics decision-making support forGESTAMP

, Real-time monitoring viaweb portal

, Early detection ofmachinery failure andinefficient processes

, Customized reports, Worldwide implementation

possible

Battery storage systemsafeguards powersupply at VEO

, Black start capability ofpower plant's gas turbineat any time and withoutfeeding in power from thepublic grid

, This island network keepsthe critical productionprocesses at the steel milloperating

Turnkey integratedpower supplysolution for Südzucker

, Drawing power from thehigh-voltage grid, but alsofeeding electricity from theon-site power plants intothe grid

Intelligent microgrid forSavona University

, Highly energy-efficientconventional and renewablesources are controlled inreal-time

, The campus can generateenough electricity and heatto satisfy its needsautonomously


Distributed Energy SystemGreen Tower Freiburg (under construction)

Source:http://www.freyarchitekten.com/projekte/549_smart-green-tower.html

Energy-/PowerManagement System• Optimization of self-

generated Energy

Building Automation

Power Supply

Security Fire protectionBuilding and Room Automation, EnergyMonitoring and Controlling (EMC)

DC-link

CHP or Engine Li-Battery (0,5 MWh) PV-System (400kWp)

400V 3AC

AC loadse. .g. typical household loads

Internal DC loadse. g. for lifts, emergency lighting


Innovative Microgrid solution using blockchain technologysupporting New York’s Reforming the Energy Vision (REV) program


Possible advantages of the blockchain technology

Cost reduction:(real-time) peer-to-peer

transactions with integratedpayment / currency

Security:Immutable records &

Trust of source

New Business Models:Multi-stakeholder

collaboration in different usecases

Optimization:Data available in one

distributed / shared database

Blockchainanalytics across

shared data(e. g. price data,

market data, loadprofiles, gridutilization)

No separatefinancial

managementprocess necessary

any more

No verificationcosts to prove the

origin e.g. ofrenewable energy,

performancevalidation

(P2P) energy trading(incl. e. g. regulation

power), grid charging,nodal pricing,EV-Charging


Artificial IntelligenceDeep Learning Example: Online Decision Support for Power Grids

Growing share of renewable

• Wide area monitoring combined withdecision support

• Disturbance identification andcompensation

Wide-AreaDisturbanceClassification

• Increase quality of supporting informationin case of faults

• Localization of faults even in difficult cases

FaultLocalization andClassification

Growing share of renewable energy and distributed power generation call forenhanced capabilities of intelligent devices.

Operation Center: Disturbance Classification Infield: Fault location using neural networks

Inter-preter

Sourcecode

Model Training Model Generation Model DeploymentStream Data Recognize Contingencies

CounterMeasures

Embedded Analytics Framework (LEAF)

contingencyTIME


Agenda

1 Energy System 4.0



4 Outlook


The three essential grids in context of an energy cell concept

Cell 4

Cell 1

Cell 2

Electricity (transmission) grid

Gas grid

Digital Grid

Cell 3

Cells negotiate energyexchange among

themselves (peer-to-peer)

Energy cells can beƒ Communityƒ Factoryƒ Power plantƒ Dedicated storage facility

Energy cells containƒ Power generationƒ Thermal and gas gridsƒ Energy storageƒ Power-to-X (-value)ƒ Dynamic load controlƒ ICT, self-organizing,

self-healing intelligenceƒ Resiliencyƒ …


1

2

3

4

5

Digitalization is key enabler (simulation, operation, market integration)

More Wind- and PV, Electrification, Distributed Energy Systems

Outlook

Emerging Sharing Economy concepts for Prosumers

Digitalization key enabler (simulation, operation, market integration)

Artificial Intelligence gaining momentum

More Wind- and PV, Electrification, Distributed Energy Systems

Sector-couplings and Energy Storage increasingly relevant


This document contains forward-looking statements and information – that is, statements related to future, not past, events. These statements may be identifiedeither orally or in writing by words as “expects”, “anticipates”, “intends”, “plans”, “believes”, “seeks”, “estimates”, “will” or words of similar meaning. Suchstatements are based on our current expectations and certain assumptions, and are, therefore, subject to certain risks and uncertainties. A variety of factors,many of which are beyond Siemens’ control, affect its operations, performance, business strategy and results and could cause the actual results, performance orachievements of Siemens worldwide to be materially different from any future results, performance or achievements that may be expressed or implied by suchforward-looking statements. For us, particular uncertainties arise, among others, from changes in general economic and business conditions, changes in currencyexchange rates and interest rates, introduction of competing products or technologies by other companies, lack of acceptance of new products or services bycustomers targeted by Siemens worldwide, changes in business strategy and various other factors. More detailed information about certain of these factors iscontained in Siemens’ filings with the SEC, which are available on the Siemens website, www.siemens.com and on the SEC’s website, www.sec.gov. Should oneor more of these risks or uncertainties materialize, or should underlying assumptions prove incorrect, actual results may vary materially from those described inthe relevant forward-looking statement as anticipated, believed, estimated, expected, intended, planned or projected. Siemens does not intend or assume anyobligation to update or revise these forward-looking statements in light of developments which differ from those anticipated.

Trademarks mentioned in this document are the property of Siemens AG, it's affiliates or their respective owners.

Disclaimer

digital solutions for power generation and energy ... · 2 digital solutions for power generation...

Documents