1. Applying FI-WARE Generic Enablers to Smart Grid Management: Electric Car Charging Scenario Dr. Steven Davy Mobile, Middleware, Messaging @ TSSG Mas2tering Workshop 17 th October 2014

2. Overview Introduction Charge Optimisation System EV Integration COS DashBoard for DSO / TSO API access for SME’s Future Internet GE’s Integration and deployment

3. Introduction FI PPP –5 Year programme funded by the EU to explore how new Internet based technologies can bring benefit to EU Citizens FINESCE –Applying the concepts and systems developed in the programme to the management of Electricity Distribution scenarios Page 3

4. Scenario, 30.05.2013, Page 4

5. Charge Optimisation System

6. Optimisation Service Optimises charging profiles for available EVs Optimisation rounds every 15 min Power generation forecasts from System Operators‘ web sites Using request- response message exchange pattern

7. COS DashBoard for DSO / TSO

12. Supports external access to EVSE data Supports charging control Both individual and aggregator level COS API Support

13. GE Name (FI-WARE Chapter) Selected for further testing? Selected for further consideration? Advanced to test integration phase? Reason Data Handling (Security) Trial requirements include secure and privacy preserving data handling DB Anonymiser (Security) Trial requirements include anonymized data communication Cloud Edge (Interface to Networks and Devices) Trial requirements includesecure cloud data handling Complex Event Processing (Data/Context Management) Trial requirements include historical data aggregation Content Based Security (Security) Trial requirements include encrypted data communication Identity Management GCP (Security) Trial requirements include secure authentication with an open source solution.

14. Identity Management GCP Authentication and authorisation using OpenID and OAuth 2.0

15. Data Handling GE Usage control of user data using Sticky privacy policies: Notification on the usage conditions of the data Retention period Logging and auditing tools Encryption PPL (PrimeLife Privacy) Language

16. DB Anonymizer Evaluates the adequateness (in maintaining privacy and anonymisation) of a specific disclosure policy to be used to disclose a dataset to a third party. DB Anonymiser calculates how much of the original content of an anonymised dataset an attacker can reconstruct.

17. DB Anonymizer

18. Content Based Security

19. Thank You Questions? Page 19