mindsphere meets - assets.new.siemens.com · new “things” get connectedevery day global data...
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Restricted © Siemens AG 2017October 4, 2017Page 1 EUW 2017 | Cedrik Neike
MindSpheremeets
energyUnlock the potential of digitization
Unrestricted © Siemens AG 2017EUW 2017 | Cedrik Neike | Thomas Zimmermann
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The current energy worldwill be heavily disrupted
Prosumer-centric energy
world
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From
Predominantlyfossil-drivenenergy world
From
Centralizedenergy productionsupplying consumer
From
Traditional,vertical energydisruption model
To
Renewable worldthrough wind,solar and storage
To
Household andbusinesses becomeprosumers
To
Energy trading plat-forms which are thenew digital utilities
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Data management and energy systems –In the age of digitalization they merge and change the world
Internet Mobiletelephone
Computer Industry4.0
>50%
new “things”get connected every day
Global data volume
Internetof Things
~1960 ~1970 ~1990~1980 ~2000 2030~2010 2020~1945
Nuclear PhotovoltaicGas WindEnergysystems
Decentralenergysystem
of the world’s datawas created last year
… but less than 0.5%was analyzed or used
by 2020
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Digitalizationchangeseverything
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MindSphere The cloud-based, open IoT operating system
Platform as a Service
Siemens Software Siemens Digital Services
Holistic IT security concept
Digitally enhanced Electrification and Automation
Electrification – Automation – Digitalization –Our strategy to shape the digital transformation
Maintenance & UtilizationAutomation & OperationDesign & Engineering
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MindSphereenableseverything
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MindSphere for energy –The open, cloud-based IoT operating system
Grid Electrical Edge
for energy
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domain knowledge
Existing EnergyIP applications with 75 millioncontracted devices will be running on MindSpherefor energy
EUW 2017 | Thomas Zimmermann
Connectivity‒ Power grid assets‒ Electrical infrastructure assets‒ Grid edge devices
Driving business success‒ Powerful energy applications‒ Digital energy services
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MindSphere for energy –The open, cloud-based IoT operating system
Grid Electrical Edge
for energy
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end-to-end solutions
Energy BuildingIndustry Mobility
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Value chainoptimization
Crossindus-tries
Sectorcoupling
Datamodels
Industrystandards
Connectede-mobility
Cityplat-forms
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MindSphere for energy –The open, cloud-based IoT operating system
for energy
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platform and ecosystem
EnergyIP Meter Data Management now availableas SAP Meter Data Management by Siemensand listed on SAP price list as on premise solution
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Open API
Open connectivity, e.g. OPC UA P/S
Open partner network
MindSphere for energyconnecting electricalinfrastructure assetsas demonstrated withSIPROTEC 5 onHannover Fair 2017
Customer benefitsReduction of CAPEX and OPEXLonger asset lifecyclesLower maintenance cost
Asset monitoringPredictive maintenance
Asset management
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New meter data management system forNew York CityMass scaleenergy transparency‒ Full scale advanced metering infrastructure implementation
for Consolidated Edison and Orange and Rockland‒ About 3.9 million electric and 1.2 million gas meters‒ Near real time data, 15 min intervals delivered every 15 min
Benefits‒ Key enabling technology to achieve the stated New York
Reforming the Energy Vision (NY REV) goals for improvedefficiency and reliability
‒ Operational savings and new system-wide efficiencies‒ Overall customer savings through increased transparency
and awareness of power and gas consumption
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Big data analytics reduces carbon footprintin component manufacturing at GESTAMPMonitoring of real-timeenergy consumption needs‒ Siemens hardware and cloud-based service‒ 14 plants connected in 5 countries‒ Environmental management system allows
continuous optimization of energy efficiency
Benefits‒ 10 – 15% energy savings‒ No CAPEX – only monthly fees‒ Payback <3 years‒ Further non-energy related benefits
e.g. production optimization
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Sello Shopping Mall, Espoo, Finland usesSiemens Distributed Energy System toconnect power production and storage tothe grid to optimize demand and supply inelectricity market
Intelligent energy system‒ 1,68 MW battery storage, 600kW Solar PV‒ Electricity reserve market contract with national grid
operator Fingrid‒ 1.6 M€ grant from Ministry of Employment and Economy
Benefits‒ 480,000 € p.a. gains in energy market‒ 470 MWh p.a. energy production‒ 281 tons CO2 p.a. emission reduction‒ 118,000 € p.a. savings in energy efficiency and
maintenance
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Agreement combines SAP for Utilitiessolutions with Siemens’ meter datamanagement solutions
“Real-time access to device and meter datacombined with customer and commercial datawill help provide utilities with a comprehensiveview on their customers and technical devices.We anticipate that this will change the landscapein how utilities will operatein the future.”
Henry BaileyGlobal Vice President
SAP Utilities Business UnitUnrestricted © Siemens AG 2017
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New utilityapplicationson MindSphereMaikel van Verseveld,CEO, OMNETRIC Group
Copyright ©2017 OMNETRIC Group. All rights reserved. OMNETRIC Group Unrestricted information. 16
Since 2014, OMNETRIC Group helps energy providerscapture the opportunities of digitalization in the grid
Best of twoworlds
100% dedicationto IT/OT “Expert” cultureReady-made
solutions
Our approach is to look at energy provider systems and datafrom the operations side of the challenge
Copyright ©2017 OMNETRIC Group. All rights reserved. OMNETRIC Group Unrestricted information. 17
OMNETRIC Planning and Outage Intelligence MindApp
The application manages:• Complex data integration• Large-scale data processing• Sophisticated statistical modeling: two-
stage logistic regression model for fullyautomated outage-risk prediction
Combining large amounts of differentinternal and external data about:• Assets (such as characteristics,
inspection detail, …)• External context (environment, GIS, ...)
accuracy of statistical models @KNGfor outage prediction90%
300,000 customers7,000 transformers
18,000 km of power lines65,000 poles
Copyright ©2017 OMNETRIC Group. All rights reserved. OMNETRIC Group Unrestricted information. 18
Insights for planning and operational decisions toreduce maintenance cost and drive better service
PnOI MindApp
• Geographical distribution of polesand power line segments
• Risk modeling evaluation
• Asset health summarizesfindings about disturbance-related condition of assets
• Asset characteristics e.g. age,type, maintenance activity
• Maintenance planning simulatesimpact of maintenance measureson outage probability
• Annual planning simulatesprobability of cost/cost reductionof outage
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6 5 4
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Thank you
Unrestricted © Siemens AG 2017October 4, 2017Page 19 EUW 2017 | Cedrik Neike | Thomas Zimmermann