Bde sc3 2nd_workshop_2016_10_04_p02_maher_chebbo_sap

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 1Public
Big Data and Future energy
as the answer to climate challenges
MAHER CHEBBO, PhD Energy
General Manager Energy
Europe, Middle East and Africa
SAP
Maher.chebbo@sap.com
President of ESMIG (European Smart Energy Association)
Digital Energy 4.0 Leader (ETP SmartGrids) Brussels, 04th of October 2016
Big Data in the H2020 Societal Challenge
Secure, Clean and Efficient energy

Future Energy
Projects
Energy &
Climate trends
Energy Digital
Transformation
Conclusion

© 2011 SAP AG. All rights reserved. 3
Customer Centric Smart Energy : A challenging Equation
CUSTOMER
CENTRIC
MARKET DESIGN
DATA AVAILABILITY
PRIVACY, CYBER-SECURITY
ENERGY MIXTE
ECONOMICS
ENERGY 2020 NEW
BUSINESS MODELS
INTERNET OF THINGS
SENSING, MONITORING
BIG DATA, IT/OT, TELECOM
REAL TIME PREDICTION
ENERGY VALUE CHAIN
CUSTOMER DEMAND
DISTRIBUTED ENERGY
STORAGE
CUSTOMER DEMAND
SUPPLY VALUE
CHAIN
POLICIES
SOCIO- ECONOMICS
TECHNOLOGIES & TELECOMS
These factors have been considered but not as ONE Equation or ONE Model.
2016 … 2020 SET Plan should put it all together in ONE integrated Strategic Energy Technology Plan

By 2020-25, we predict that 90% of C&I and 70% of
Residential Customers will run Energy Smarter
Regulators
Reduction in consumption 5-15%
Smart Cities
Smart
Manufacturing
Smart BuildingsSmart Transportation
Smart Retail
office
Smart House
Intelligent
Networks
Green
Energy
Smart Residential Customers
90% of C&I (25 Sectors) with Smart Energy by 2020 70% of Res. Customers as Smart Home by 2020

EU SmartGrids SO requirements mapped
to Technology Solutions
Retailers, ESCOs,
Metering roles
14 TSO projects
8 years
560 M€ (R&DD)
12 DSO projects
8 years,
1200 M€ (R&DD)
Pan-European Grid, Wind Grid integration,
Network control and new market design
11 Retailers projects
10 years
320 M € (R&DD)
 2 b€+ R&DD estimated large scale 37 projects for TSOs, DSOs & Retailers
 Technology players anticipate their innovations to cover SmartGrids 2020 needs
Retail, CRM & Billing, Dynamic Pricing, Demand
Response, Customer Experience, Commerce (CEC)
Retail
Demand Side, Energy Management (CEC)
Smart Metering, Energy Data Management
(MDM), EV charging, Balancing, Settlement
Distrubution
Assets Management, Asset Intelligent Network (AIN),
IT/OT Integration & interoperability (SCADA, GIS, …)
Transmission, Wind Integration, Assets Mgt, AIN,
IT/OT Integ. & interop (SCADA, GIS,..)
Power Generation
DER lifecyle management, Fleet & Portfolio Mgt,
VPP, IPO (Integrated Power Operations)

SmartGrids benefits
Stakeholders SmartGrids KPIs Benefits
Increased quality of supply 2-10%
Reduction in outage time 2-10%
Reduction in electricity bill (Residential) 5-20%
Increased customer satisfaction 5-20%
Increased customer choice 20-50%
Increased customer engagement and knowledge 20-50%
Reduction in electricity bill Commercial Business 2-5%
Improved usage of microgeneration 2-10%
Improved understanding of customer needs 20-50%
Increased number of programs offered 20-50%
Reduction of retailer peak electricity purchasing risk 2-10%
Increased lifespan of electric infrastructure 10-20%
Reduction in operation costs 0-30%
Customers
Retailer
Distribution

Future Energy
Projects
Energy &
Climate trends
Energy Digital
Transformation
Conclusion

5 Technology Trends that are changing the world.
Digitization can add 1.36 $ trillion of GDP output
$ 1.36 Trillion Additional Productivity & GDP Output in 2020 from digitization.
8% of organizations have identified digital transformation as a 2Y priority
3B Internet Users Worldwide
30T Smart objects by 2020
90% of Samsung products would be able to connect to the Web by 2017
30% growth of Cloud Computing infrastructure and platforms up to 2018
87% of CFOs agree that growth requires faster data analysis
12% only are able to respond to critical information requests in real-time
45% of enterprises are building direct-to-consumer fulfillment capabilities
50% Networked enterprises more likely to increase their P&L & m-share
50%-75% faster transaction cycles achieved with business Networks

© 2016 SAP SE or an SAP affiliate company. All rights reserved. 9Confidential
1. OUTCOME BASED MODELS
2. EXPAND TO NEW INDUSTRIES
6. DIGITAL PLATFORM
3. DIGITIZATION OF PRODUCTS & SERVICES
5. SHARED ECONOMY
4. COMPETE AS AN ECOSYSTEM
New Business Models

Landlords Cover
and Repair
Loyalty
Program
Insurance
Packages
Selling and
Servicing Home
Boilers
One-off
Repairs
Solar Panels
Core Energy Supply – Gas,
Electricity, Heat, Water
Plumbing and
Drainage
Energy Services
New Retail Business Models Digital
Customer

Digital Business Scenario : Use customer data to
offer new services
Customer
concernd about
energy bill
TIME
Install smart
home solution
Benchmark
consumption
Collect
consumption
data
Suppliers Collaboration
Business Networks
Customer Experience
Omni-Channels
Internet of
Things
Digital Core
Monitor energy
savings
Provide multi-
channel
services
Leverage
insight to sell
more
?
Provide
integrated bill
Offer smart
home products/
services
Digital
Customer

By 2020-25 Customer Data available 100% for SMEs and
Corporates to innovate in Energy Efficiency Services
By 2020-25, Customer Data needs to be 100% available for innovation in Energy Efficiency services. Being
simple and adaptable, energy self control will become part of their daily « casual » tasks as Smart phones are
BUSINESS
PROCESS
PLATFORM
Forecasting
Predictions
Benchmarking
Real Time Intelligence
INFORMATION
PLATFORM
Powered by Digital (Big Data) = SAP HANA

The Digital Energy System 4.0 by ETP SmartGrids [May 2016]
(ETP SmartGrids Digital Energy 4.0 task force chaired by M. Chebbo – SAP) – white paper issued in May 2016
1) Foreword
2) What does Digital Transformation mean? What are the use cases ?
3) Practical use cases and field trials
3.1. Digital use cases for power generation
3.1.1 Probabilistic forecasting of wind generation, forecasting of extremes and optimal
use of forecasts in power system operations and markets.
3.1.2 Smart curtailment, dynamic line rating and Improved forecasting tools to maximize
integration of wind
3.2. Digital use cases for transmission & distribution networks
3.2.1 The STAR project: Remote operation and Grid Automation systems
3.2.2 Innovative Tools for Electrical System Security within Large Areas
3.2.3 Autonomous grid reconfiguration and forecasting in the MV grid
3.2.4 Meter data management for network operation in the LV grid
3.2.5 Collaborative Asset Management
3.2.6 Advanced tools and ICT servicers for Distribution System Operators
3.2.7 A Platform to interface demand side management with DSO needs
3.3. Digital use cases for retailers and aggregators
3.3.1 Empowering SG Market Actors through Information and Communication Technologies
3.3.2 IDE4L Use Cases on technical and commercial aggregators
3.4. Digital use cases for consumers & Prosumers 45
3.4.1 Dynamic pricing and Demand Response Management
3.4.2 Smart houses in a smart grid environment
3.4.3 Smart charging of electric vehicles
3.4.4 Neighborhood energy management
3.4.5 Use cases
3.4.6 Technology development needed to meet the challenges
3.5. Digital use cases for new market platforms
3.5.1 Local Energy Markets
3.5.2 ICT tools for cross-border markets
3.5.3 The DSO as market facilitator
3.5.4 The Universal Smart Energy Framework
4) Main recommendations on Digital roadmap
Conclusions
Appendix: ETP SG Workshop on Energy Digitalization

Digital Use case Description of the
Digital Use Cases
Detailed Description of the
Digital Use Cases
Expected benefits
Asset management
Transmission & Distribution Networks and Power
Generators’ Assets new models: Smart products, Data-
driven business models, Technology-driven customer
engagement and New alliances. (80% of companies who
invested in IOT increased their revenues.
Predictive Maintenance (predicting the loss of life of assets (e.g.
transformers)
Collaborative Asset Management using Cloud (Asset Intelligence
networks)
Asset Information and Health
Dynamic line rating
Increase reliability of supply
Reduce cost of Operations and Capex. Improve quality of
service
Provide real time Asset Cockpits reducing incidents and
outages
Defer grid upgrades
Network planning
and Operations
Improved digital options for network planning
Smart operation of the network using IT & OT integration,
Big Data and Predictive Services (a large Dutch DSO
collects 1.5 billion Grid sensor measurements to forecast
the required operations in real time)
Digital planning of grid reinforcements
Demand-driven predictive planning , voltage control and smart
grid re-configuration
Decrease grid upgrade costs
Increase DER penetration, reliability of supply and better
Network usage
Customer participation
Full Customer Energy Management using Big Data and IOT
(800 million estimated installed smart devices by 2020 to
understand customer behavior by Utilities)
Smart Metering 15’ data
Building Energy Data Analysis
Demand Response
Peak load management
Real time energy visibility
Peer to Peer comparison to change behavior
Energy Efficiency
Cleaner energy consumption
Reduced bills
Balancing
Digital tools allow the TSO to balance the network more
efficiently
IOT big data collection from end customers and data aggregation
balancing.
Islanding operation using DER, Micro-grids
Better matching of demand and supply across the energy
mix
Integration of EV
and storage
Storage assets and EV’s can become a part of the solution
to integrate DER (estimated total world energy storage
market by the year 2020 is 50 billion $)
V2G Services
Use Cases defined by the “Merge” project”
EV coordination schemes
Increase reliability of supply
Decreasing grid upgrade costs
Avoid over-voltages
Peak shaving for the consumer
Market Facilitation
(e.g. DSOs)
Data Hubs
The data that market facilitator provides (e.g. DSO) can be
offered to other commercial parties to facilitate market
operation
Use cases described by the market model to facilitate the market
Enable flexibility to enter the market
Strengthen case for building energy management
technologies
Use cases defined by the “Flexiciency” H2020 project Increase Energy Efficiency and collaboration services
between Distributors and Retailers

Future Energy
Projects
Energy &
Climate trends
Energy Digital
Transformation
Conclusion

Alliander energizes its business with Real-Time Analytics
and accelerates its load forecasting process using Digital
(HANA) Analytics
 Alliander is a regional grid operator for gas and electricity in the Netherlands.
 Issue of unpredictable demand due to rapid changes in customers’ energy consumption behavior.
 Energy-hungry devices such as plug-in electric vehicles (PEVs), as well as unconventional energy sources such as solar and wind, have
fundamentally changed the energy landscape.
 1000 public charging points for PEVs have been deployed.
 Need for Alliander to improve peak load forecasting in its networks quickly and accurately.
 Failing to do so could lead to higher operating costs or, worse, network outages that leave customers angry and without power.
To face these issues, Real-time business insights based on big data HANA to boost reliability, lower costs and transform customer relationships
has been implemented by Alliance.

Benchmarking the Energy Efficiency of Residential
Customers anytime with Digital Analytics (HANA)
Ranking of
Residential
customers in
Energy Efficiency
over the last billing
period :
Example of a
Household ranked
8,832 out of a peer
group of 100,814
households

SAP and Philips Team Up to Make Cities Smarter
(enabled by SAP HANA)
 Link real-time information from Philips connected streetlights with data from other sensors in a single integrated city dashboard
 The joint offering combines real-time situational awareness based on the SAP HANA platform with the Philips CityTouch street lighting
management system to give planners a 360-degree view of data
 91,000 streetlights with LEDs in Buenos Aires, controlled by CityTouch interfacing with SAP HANA platform.
 CityTouch remote management system allows remote adjustment of lighting levels, dramatically reducing energy consumption and
maintenance costs.
 Buenos Aires is able to manage 700,000 assets (streetlights, parks, bus stops, buildings & bridges).
 By analyzing real-time sensor data, the city can monitor storm drains to mitigate risksh
As a result, Buenos Aires has been able to increase operational efficiency, realize energy savings of over 50 percent and greatly improve safety and
quality of life for its 13 million residents.

H2020 project «FLEXICIENCY» : SAP, ENEL,
EDF, Vattenfal, Verbund, EDSO, …
H2020 project led by ENEL
18 Companies contributing
ENR HCP “FLEXICIENCY “ Electricity pan-
European Marketplace for Distribution &
Retail :
Kind of “Apple Store” for Energy Demand
Services running on
HANA Cloud Platform (SAP)
Potential of 10 000 Utilities on the same
Public Marketplace
Energy Cloud
Platform

«FLEXICIENCY» is a new Dynamic Energy
Marketplace based on SAP HCP
Publish Subscribe
DSO
ESCO
RETAILER
AGGREGATO
R
…
A virtual ICT environment, the Market Place, will be developed in order to catalyse the interactions between all the relevant stakeholders in an open and
standardized way and to encourage a cross-country and cross-player access to innovative energy services. This will foster the birth and growth of new
electricity retail economic models throughout EU28, which will in turn increase in the future the overall electricity system flexibility, while maximizing energy
efficiency across Europe.
Example of UI design for the project
DSO

INTEGRID Objectives (H2020 project just awarded !)
Demonstration of Intelligent grid technologies for renewables Integration and Interactive consumer
participation enabling Interoperable market solutions and Interconnected stakeholders

INTEGRID Partners and Demo sites

FutureFlow : H2020 project for TSO cross-border
balancing, SAP & 4 TSOs (SI, HU, RO, AT)
Fuel Customer / RetailDistributionPlant Transmission
Grid Balancing / Supply Safety
 Local, cross-country & regional
balancing and transactions in real-time
 Increasing “micro-generation” and
need for aggregation (virtual power
plants)
Maintenance / Investment
 Inspection, predictive
maintenance & repair
 Plan investment
 Manage vegetation
Response
 Predict and respond to outages
through BIG data analytics (IT/OT)
 Make service calls
 Survey storm damage
SAP enables TSOs, ELES (SI), TRANSELECTRICA (RO), MAVIR (HU), APG (AT)
to manage their transformation and their digital challenges & opportunities
Key
challenges
ofTSOs

Future Energy
Projects
Energy &
Climate trends
Energy Digital
Transformation
Conclusion

Top 10 recommendations for the Digital Roadmap of
Europe and predicted spending and benefits
1. Do not miss the non-reversible Digital Transformation. Otherwise, it will be too late.
2. SmartGrids Management is not (yet) a plug and play story but Digital SmartGrids is!
3. We should empower ICT infrastructures using Digital simulation and forecasting models
4. The development of Open electronic Marketplaces will boost Digital Energy
5. Well-guided data confidentiality accelerates the digital transformation
6. Digital well designed Energy Management can successfully integrate massive renewables
7. Leveraging Digital technologies will also enable a well-functioning, open and flexible markets
8. Digital home technologies can shift residential consumption during peak demand
9. Keep investing in disruptive digital technologies while thinking first your digital use cases
10. Setup a Virtual Innovation Hub (like a virtual “Silicon Valley”) to source a big number of ideas, leading to big disruptive
innovations after due diligence, prototyping and incubation
Predicted spending of 50 b€ for the Digital Transformation of Europe
Energy 22% annual growth rate and €330 billion annual economic benefit for European Industry by 2020
Utilities can get additional 30% revenues from Energy Data Services

Conclusion

© 2015 SAP SE or an SAP affiliate company. All rights reserved.
Thank you
Contact information:
Maher CHEBBO, PhD Energy
General Manager Energy & Natural Resources (EMEA+MEE)
Tour SAP
35, rue d'Alsace
92300 Levallois Perret
maher.chebbo@sap.com

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