SPARC    iMinds 08-11-2012|
SPARC Smart    Algorithms, security, connectivity Plug-in    EV, PHEV Automobile    Cars (Kangoo, Ampera), scooter (...
ParticipantsREstore       8 November 2012 | 3
Research activities User profiles    Survey and workshops on smart charging and billing of     electric vehicles    Clu...
Research activities (continued) Multi-party security models for identification and billing    Triple authentication, aut...
Field trial Setup    Parkings Zand and Station (Interparking)        2 charging stations in each parking        SPARC ...
Field trial (continued)       8 November 2012 | 7
Field trial (continued)       8 November 2012 | 8
Field trial (continued)       8 November 2012 | 9
Field trial (continued)       8 November 2012 | 10
Architecture                                                                          Zand (Local Server)                 ...
Evaluation KPIs       8 November 2012 | 12
Evaluation KPIs (continued)       8 November 2012 | 13
Evaluation KPIs (continued)Setting•                   100 EV’s – 1 month – 3 algorithms                                   ...
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iMinds the conference 2012: Michel Tilman

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  • Project, participants, goalsInvolved partiesTSCE – energy groupIBBT (Interdisciplinary Institute for Broadband Technology)VITO (Flemish institute for Technology Research)Athlon (car lease)Inter-Parking, ServiParkReStore (start-up company: build charge poles and car-battery lease )Funding: IWT (Flemish institute for Scientific Research)Runtime: 2 years, starts January 2011, early start is possibleGoal: Investigate technologies and business models to enable rollout P(H)EVs.Find Solutions for charging that take the impact on the Power Grid into account load balancing problems, effects on power quality, peak shavingDetect emerging business models and billing processesAddres Technology ChallengesDesign Services Architecture and Infrastructure Build Proof-of-concept
  • iMinds the conference 2012: Michel Tilman

    1. 1. SPARC iMinds 08-11-2012|
    2. 2. SPARC Smart  Algorithms, security, connectivity Plug-in  EV, PHEV Automobile  Cars (Kangoo, Ampera), scooter (QWIC) Renewable  Charge using wind energy  Balance supply and demand Charging services  Platform, algorithms, security, charging stations, mobile device integration, simulations 8 November 2012 | 2
    3. 3. ParticipantsREstore 8 November 2012 | 3
    4. 4. Research activities User profiles  Survey and workshops on smart charging and billing of electric vehicles  Clustering of potential EV customers  Qualitative analysis of different profiles Future-proof architecture  Scalable platform  Pluggable algorithms  Steering and monitoring via REST services  Mobile device integration  Local and remote security services  Charging stations supporting real and simulated charging 8 November 2012 | 4
    5. 5. Research activities (continued) Multi-party security models for identification and billing  Triple authentication, authorization, auditing  SAML / XACML, secure auditing Design and evaluation of smart charging algorithms  Trivial, Intelligator, Intelligator+, Dual Decomposition  Different KPI’s  User satisfaction, balancing supply and demand, green energy usage  Simulation framework Business models and techno-economic studies  EV-leasing  Smart charging infrastructure 8 November 2012 | 5
    6. 6. Field trial Setup  Parkings Zand and Station (Interparking)  2 charging stations in each parking  SPARC servers embedded in master poles  Global server (Sony)  Replays real wind data Test  Trivial and smart algorithms  Authentication over powerline (Dolphin)  Smart connectivity (VITO scooter)  Multi-party security  Degraded mode operation Log data 8 November 2012 | 6
    7. 7. Field trial (continued) 8 November 2012 | 7
    8. 8. Field trial (continued) 8 November 2012 | 8
    9. 9. Field trial (continued) 8 November 2012 | 9
    10. 10. Field trial (continued) 8 November 2012 | 10
    11. 11. Architecture Zand (Local Server) Dolphin Reader Dolphin Security BeCharged Station RESTful Services iMinds App Sony (Global Server) Local Optimizer Scheduler BeCharged Station RESTful Services Kouter (Local Server) Wind Global Optimizer Security Virtual Station RESTful Services Local Optimizer Scheduler Virtual Station QWIC Scooter Android App TestPlanSimulator / JMeter Authentication / Authorization / Audit 8 November 2012 | 11
    12. 12. Evaluation KPIs 8 November 2012 | 12
    13. 13. Evaluation KPIs (continued) 8 November 2012 | 13
    14. 14. Evaluation KPIs (continued)Setting• 100 EV’s – 1 month – 3 algorithms KPI2 – Imbalance reduction Intelligator: multi-agent system with central coordination. Comfort settings are guaranteed locally. • Works best with diverse profiles Dual decomposition: local optimization, coordination • Different algorithms are comparable through virtual prices.• Realistic behaviour / real wind data Table 1 KPI 2a: Average imbalance between supply and demand. 65000 KPI2a Home work home+work Power (W) 45000 25000 trivial 23kW 25kW 22kW 5000 Intelligator 19kW 22kW 17kW -15000 Intelligator+ 19kW 22kW 18kW Dual decomp. 20kW 22kW 19kW Wind Trivial Intelligator Dual decomposition Time KPI1 – User satisfaction KPI3 – Green energy • Are EV’s full (95% or more) at departure? • Yes when departure time is known • Fraction of demand supplied by renewable energy • Degeneration when leaving early • Algorithms again quite comparable Table 1 KPI 3: Percentage of energy demand that is supplied by renewable energy. 100% KPI Trivial KPI3 home work home+work 95% Intelligator 90% Trivial 69% 59% 70% 85% 80% Intelligator 89% 75% 87% 75% Intelligator+ 87% 74% 85% 70% Max deviation Dual decomp. 89% 77% 87% 0% 5% 25% 50% 75% expected duration 8 November 2012 | 14
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