Post on 15-Jul-2015
Drive business innovation by harnessing energy data
Pieter den Hamer
Lead Big Data, Business Intelligence & Analytics, Alliander
Associate, Copernicus Institute, University of Utrecht
© Pieter den Hamer, Alliander, 2015
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Information
Energy
© Pieter den Hamer, Alliander, 2015 3
+ Green
but
Volatile
Energy
Demand
& Supply
- Grey
but
Predictable
Energy
Demand
& Supply
Source: CE Delft
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Smart Homes
Smart Meters
Smart Appliances
Dynamic Pricing
Electric
Vehicles
+
Charging
Stations
Smart Grid Offshore
Wind
Substation
Automation
Energy
Storage
Waste heat
distribution / city
warming
Local (solar)
energy production
Solar Farms
Smart Power Plants
EU Super Grid
Hydro
Power
Communciations Grid
(mobile + fiber)
MicroGrids
Virtual Power Plants
Onshore Wind
Biogas
Tidal
Energy
Smart Buildings & Cities
Dynamic
Demand/Supply
Balancing
Power Quality Mgt
CO2 emission reduction
+ CCS
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ENTERPRISE
DATA
(Finance,
Customers,
Workforce)
GEOSPATIAL
DATA
(Assets,
Network)
STREAMING
DATA
(Energy D/S,
Grid Status,
Social Media)
CONNECTED
(BIG) DATA
& Analytics
Connected partners
Connected
employees
Connected smart grid
Connected assets
(Internet of Things)
Building the Connected Utility
Connected Data - example A: scenario analysis & load forecasting for asset investment planning
Asset Management
Peak Determination
(1.5 billion sensor data rows)
Macro-economic, urban, socio-demographic,
technological (EV, PV, …) trend data
Load Forecasting
Bottlenecks
Investments
© Pieter den Hamer, Alliander, 2015
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Connected Data - example B: Realtime Asset Condition Monitoring (pilot)
© Pieter den Hamer, Alliander, 2015
Connected Data - Example C: (research phase): self managing & healing grids
8
Main features:
• Dynamic reconfiguration of net
topology for resiliency, net loss
reduction, incident impact
minimization & graceful degradation
• Strong support for Microgrid / local
prosumer ‘energy sharing’ initiatives
• Optimize use of (local) renewable
production & storage, minimize
central energy production
• Dynamic energy pricing for
prosumer behaviour incentivizing &
(local) D/S balancing
• Power quality management
Design concepts:
• Orchestration of a ‘shared energy
economy’
• Beyond the Internet of Things:
towards a ‘societal nervous system’
• Smart autonomous systems
• AI - multi agent simulations of the
smart grid as a complex system
© Pieter den Hamer, Alliander, 2015 9
APPENDIX
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© Pieter den Hamer, Alliander, 2015 11
Big data & analytics platform – underlying architecture (high level)
In
tell
igen
ce &
vis
uali
sati
on
la
yer
SAP BW
Smart Grid – Big Data Lake
Data
layer
Basic Asset
Register (Geo-
spatial)
ERP - SAP (FICO, CRM, ISU, etc.)
GIS (NRG)
Other GRID
(OMS, DMS, Scada, …) Sou
rce
syste
ms
EXTERNAL (EDSN, Social, …)
Process Mining
Enterprise Data Warehouse (structured
+unstructured)
ODS
Data Provisioning Layer
Open/Linked Data provisioning
Workspace (+ high performance in-database analytics)
Predictive Analytics
Unstructured (CS, ECM, …)
Geospatial & grid Analytics
(Self Service) Reporting & dashboards
Prescriptive Analytics
Model / Rule development
(Self Service) Exploration
Extract Transform Load / Replication
Data quality insight
Data
str
eam
ing
Event detection
& orches-tration
Visualization & Interaction
(Work in Progres)
BO Information Steward
BO Lumira / BO Analysis
for Office / Esri ArcGIS
BO Webi / BO
Dashboard / Esri ArcGIS Esri
Perceptive ReflectOne R / Matlab / Vision /
Gaia / tbd
SPSS / R / tbd Clickscheduler / tbd
BO Lumira / Esri / tbd
HANA + IQ
HANA Oracle Oracle Oracle
BO Data Services Oracle
Streams / SRS
HANA + IQ
(Work in Progress)
(Work in Progress)
Conclusion: big data-driven innovations … we’re just getting started !
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Asset Management &
Operations
• Investment planning &
optimization
• Predictive, condition based
asset maintenance
• Outage risk analysis
• Maintenance scenario
simulations
• Augmented reality for
workforce support
Grid Management
• Outage detection, localization
& control
• Realtime load (demand &
supply) forecasting
• Power quality monitoring
• Grid configuration simulations
• Technical net loss reductions
• Self healing grids
Customer Care
• Communication localization &
personalization
• Fraud/theft detection
• Social media outage detection
• Energy prosumer behaviour
analysis
• Energy saving potential analysis
• Customer Energy Insight services
• Open & linked data sharing
• Dynamic energy pricing