Customer Centric Smart Energy : A challenging Equation
CUSTOMERCENTRIC
MARKET DESIGNDATA AVAILABILITY
PRIVACY, CYBER-SECURITY ENERGY MIXTE
ECONOMICS ENERGY 2020 NEW BUSINESS MODELS
INTERNET OF THINGSSENSING, MONITORING
BIG DATA, IT/OT, TELECOMREAL TIME PREDICTION
ENERGY VALUE CHAIN CUSTOMER DEMAND
DISTRIBUTED ENERGYSTORAGE
CUSTOMER DEMANDSUPPLY 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
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
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
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) Foreword2) 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 optimaluse of forecasts in power system operations and markets.3.1.2 Smart curtailment, dynamic line rating and Improved forecasting tools to maximizeintegration of wind
3.2. Digital use cases for transmission & distribution networks3.2.1 The STAR project: Remote operation and Grid Automation systems3.2.2 Innovative Tools for Electrical System Security within Large Areas3.2.3 Autonomous grid reconfiguration and forecasting in the MV grid3.2.4 Meter data management for network operation in the LV grid3.2.5 Collaborative Asset Management3.2.6 Advanced tools and ICT servicers for Distribution System Operators3.2.7 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 Technologies3.3.2 IDE4L Use Cases on technical and commercial aggregators3.4. Digital use cases for consumers & Prosumers 453.4.1 Dynamic pricing and Demand Response Management3.4.2 Smart houses in a smart grid environment3.4.3 Smart charging of electric vehicles3.4.4 Neighborhood energy management3.4.5 Use cases3.4.6 Technology development needed to meet the challenges
3.5. Digital use cases for new market platforms 3.5.1 Local Energy Markets3.5.2 ICT tools for cross-border markets3.5.3 The DSO as market facilitator3.5.4 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 HealthDynamic line rating
Increase reliability of supply Reduce cost of Operations and Capex. Improve quality of serviceProvide real time Asset Cockpits reducing incidents and outagesDefer 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 participationFull 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’ dataBuilding Energy Data AnalysisDemand ResponsePeak load managementReal time energy visibilityPeer 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 supplyDecreasing grid upgrade costsAvoid over-voltagesPeak 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
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.
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.
«FLEXICIENCY» is a new Dynamic Energy Marketplace based on SAP HCP
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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.
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
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 EuropeEnergy 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
