The Green emotion project: pan-european effort towards an interoperable electromobility system

Transcription

1 The Green emotion project: pan-european effort towards an interoperable electromobility system CIVITAS Summer University May 2014 Palma (Mallorca), Spain Lourdes García Duarte, ENDESA

2 Contents 1. Project basics 2. Green emotion Demo regions 3. What we do 4. ENDESA Demo region Plan 2

3 Project basics The creation of a unique and user-friendly framework for green electromobility in the Europe. Green emotion project is part of the European Green Cars Initiative (EGCI) that was launched within the context of the European Recovery Plan. The project has a total budget of 42 million and is funded by the European Commission with 24 million. Green emotion consortium consists of forty-three partners from industry, the energy sector, electric vehicle manufacturers, and municipalities as well as universities and research institutions. The project was officially launched on 31 March 2011 and it will finish on March 2015 (48 months). 3

4 Project basics Will I be able to charge my ecar anywhere in Europe? takes care that you will be e-mobile throughout Europe 4

5 Motivation for the Green emotion Project The situation: Number of electric vehicles (EV) is increasing heavily in Europe over the next decade (see draft of EGCI Roadmap for EV in Europe) Quite a big number of local electromobility demonstration projects funded by regional, national or European programs are running. Mio. Number of EV/PHEV in the EU Milestone 3 5,0 4,0 3,0 Milestone 2 Milestone 1 2,0 1, Leads to three major requirements: Coordination of results from existing demonstration projects to define best in class solutions. Standardization of technologies has to be in place 2015 at the latest. To drive a car conveniently between the existing demo regions, an overarching coordination is necessary (roaming). Introduction getting started Intermediate 2 nd Gen EV Mass Production 5 Mio. EVs by 2020 Source: EGCI 5

6 Green emotion a 42 Mio project with 43 Partners FP7 call TRANSPORT 2010 TREN -1 Project Start: March 2011 Duration: 4 years Funding: 24 Mio Industries: Alstom(UK), Bosch(D), IBM(D), SAP(D), Siemens (D, Project Coordinator) Utilities: Danish Energy Association(DK), EDF(F), Endesa (ES), Enel(I), ESB(IR), Eurelectric(B), Iberdrola(ES), RWE(D), PPC(GR), Verbund(AU) Electric Vehicle Manufacturers: BMW(D), Daimler(D), Nissan(H), Renault(F) Municipalities: Barcelona(ES), Bornholm(DK), Copenhagen(DK), Cork(IR), Dublin(IR), Malaga(ES), Malmö(S), Rome(I) Research Institutions and Universities: Cartif(ES), Cidaut(ES), CTL(I), DLR(D), DTU(DK), ECN(NL), Imperial(UK), IREC(ES), RSE(I), TCD(IR), Tecnalia(ES), TNO(NL) EV Technology Institutions: DTI (DK), FKA(D), TÜV Nord(D) 6

7 European electromobility the big picture 7

8 Defining the Framework for Electromobility in Europe Green emotion tests and demonstrates the interoperability of an electromobility system in selected demo regions. Green emotion analyses the operability of electric cars under real life conditions und develops recommendations for the implementation of the mass market (to increase user acceptance). Green emotion recommends ways to an optimised grid and charging infrastructure. 8

9 The infrastructure story EVSE operator wants to install charging infrastructure: Which type (AC/DC/swapping)? How many? Where (considering the lowest grid connection costs)? 9

10 Defining the Framework for Electromobility in Europe Green emotion recommends selected standards for an interoperable electromobilty system (de facto standards for Europe). Green emotion adjusts the proposals and results in discussion with a broad stakeholder base. Green emotion defines the IT architecture for a European marketplace including interfaces which allows competition in implementation. 10

11 The interoperability story - standards and ICT solutions Driver wants to use an e-car everywhere in a convenient way: Compatible plug/interfaces, identification, authorisation, billing; Find and reserve charging posts, eco-routing, cost-value ratio 11

12 Demonstration Regions 10 Demonstration regions fully operative, involving 7 countries and more than 15 municipalities. 2 Replication regions and 1 demonstration region to be included in External demonstration projects already sharing data. Existing demonstration region Replication region External demonstration sites 1800 charging points Monitoring 600 electric vehicles 1000 users 12

13 Demonstration Regions In the Green emotion demo regions roughly EVs are driving right now and for their electricity supply more than charging points are installed. This will increase to around EVs and more than charging posts in Cork Madrid Dublin Strasbourg Guipúzcoa Barcelona Copenhagen / Bornholm / Malmö Berlin Karlsruhe/Stuttgart Pisa Rome Budapest Kozani In total more than 380 Mio are spend in funded projects within these demo regions (+ private investments by GeM partners). Malaga Existing demonstration region Replication region Municipalities involved in Green emotion 13

14 Demonstration Regions DC charging Roaming Grid upstream infrastructure prototypes Inductive charging EV charging in different regions ROI/NI/UK/PiP charging event Search EVSE backend services Cork Aggregated information available for GeM from CROME CROME GeM marketplace Minibus service Supply quality Marketplace and roaming Dublin Madrid Guipúzcoa Copenhagen Barcelona Roaming Search EVSE Strasbourg Malmö Bornholm Berlin Karlsruhe/Stuttgart Pisa Rome Budapest Kozani Roaming Battery switch station On-board system (mobile service) Roaming Roaming via smartphone application Plug&Charge - PLC identification Marketplace to marketplace communication Roaming Search EVSE Roaming Roaming Search EVSE Load management MicroMobility Existing demonstration region Replication region Municipalities involved in Green emotion Malaga Load management for the AC charging infrastructure DC fast charging station with 2nd life batteries Marketplace and Roaming Search EVSE Smart grid management schemes new functionalities Grid impact on local high penetration area of EV AC Charging Roaming Load management schemes 14

15 Charge event characterization Start charging processes percentage 73.32% 26.68% Average charge consumption (IC95%(m)) Average charge duration (IC95%(m)) Public access 60.15% installed 26.12% uses Household 10.05% installed 34.37% uses E Office parking 25.27% installed 39.51% uses F Average EV SOC when start charging from 63% to 65% IC95%(m) 15

16 ES1 Barcelona and Malaga Endesa Leads the Demo region ES1, that involves the regions of Barcelona and Málaga. In this cities the following democases are being demonstrated: Load Management charging system into AC infrastructure. DC fast Charge station integrating 2 nd Life Batteries embedded into SmartGrid Concept. Market Place Services. e-mobility Smart Grid New Functionalities - Charging Management Schemes. Grid Impact on High Penetration Local Area of EV. 17

17 1. Load Management charging system Endesa, Siemens and Malaga Municipality have deployed 10 AC chargers in the city of Malaga with the objective of modulating the charging power to achieve specific grid features, avoiding problems related with EV impact integration and test interfaces between service providers and infrastructure operators. 18

18 2. DC Fast Charge Station in Malaga ENDESA is working on the construction of a DC Fast Charging station 50 kw + 2nd life battery in collaboration with Renault and Malaga Municipality Meas ures Grid Measur es 19

19 3. Market Place Services Market Place features are going to be demonstrated by ENDESA in coordination with IBM, Siemens and Enel. EVSE search and roaming services The identification systems of ENDESA EVSEs and the EVSE backend in the city of Barcelona have been demonstrated with the objective to identify an EV driver from any DemoRegion from GeM and allow her to charge. 20

20 3. Market Place Services MarketPlace Roaming Authorization Request Roaming Authorization Response Roaming Authorization Response Roaming Authorization Request Enel EVSE Operation Back-end Enel Services Back-end Endesa Services Back-end Endesa EVSE Operation Back-end 21

21 4. Grid Impact on Local High Penetration Area of EV ALMACENAMIENTO Sistema de almacenamiento integrado al sistema de gestión de demanda para absorber/suministrar excesos de energía en función de la oferta/demanda. DEMAND MANAGEMENT SYSTEM Elemento integrador de la demanda de las infraestructura de recarga, que gestiona la energía para optimizar el consumo de la microgeneración, minimizar la potencia contratada u otra consigna de interés. CARGA RAPIDA Infraestructura de recarga rápida en la isla de Energía para uso público y también de flota Endesa º MICROGENERACION Microgeneración eolica y fotovoltaica para minimizar la potencia contratada. º CARGA NORMAL Estaciones de recarga normal dispuestas en un parking para las flotas de vehículos de Endesa y en el exterior para uso público. V2M Tecnología que permite la gestión bidireccional de la energía almacenada en el VE 22

22 4. Grid Impact on Local High Penetration Area of EV No Model Nominal power AC Enel Charger Endesa DC EQC50 Endesa V2G 3.7 kw / 22 KW 50 kw 10 kw bidirectional 23

23 5. Smart Grid Management Schemes New Functionalities 2nd life batt + 40kW converter + 50kW Charger + gateway Wire section: 10mm2 Wire section: 50mm2 AC Microgrid busbar 400V AC 400 A Magnetic, thermal, differential switch Nom. load: 100A Diff. protection: 30mA 400V/160V transformer Pri: 72.2A / Sec: 180.4A 50 kva; Dyn11 DC AC/DC converter (ABB) 40kVA 24

24 19:00 19:45 20:30 21:15 22:00 22:45 23:30 0:15 1:00 1:45 2:30 3:15 4:00 4:45 5:30 6:15 7:00 7:45 8:30 9:15 10:00 10:45 11:30 12:15 13:00 13:45 14:30 15:15 16:00 16:45 17:30 18:15 Power [kw] Power [kw] 19:00 19:45 20:30 21:15 22:00 22:45 23:30 0:15 1:00 1:45 2:30 3:15 4:00 4:45 5:30 6:15 7:00 7:45 8:30 9:15 10:00 10:45 11:30 12:15 13:00 13:45 14:30 15:15 16:00 16:45 17:30 18:15 Power [kw] Energy Cost [ /kwh] EXAMPLE 2: PEAK SHAVING E-Parking lot Barcelona WITH storage systems WITHOUT BATTERY 0,14 0,12 0,1 0,08 0,06 PEAK SHAVING application has been tested in this simulation ,04 0,02 0 Peak demand: 140 kw (-25%) Generation WITH BATTERY Time [h] Grid Photovoltaic V2G Discharge V2G Charge Slow charge Fast Charge EnergyCost 0,14 0, Demand ,1 0,08 0,06 0,04 0,02 0 Battery is operated for reducing the peak consumption of the whole facility Time [h] Time [h] Fast Charge Slow charge V2G Charge Storage 25 V2G Discharge Photovoltaic Grid EnergyCost

25 19:00 20:00 21:00 22:00 23:00 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 Power [kw] CO2 [KgCO2/kWh] 19:00 19:45 20:30 21:15 22:00 22:45 23:30 0:15 1:00 1:45 2:30 3:15 4:00 4:45 5:30 6:15 7:00 7:45 8:30 9:15 10:00 10:45 11:30 12:15 13:00 13:45 14:30 15:15 16:00 16:45 17:30 18:15 Power [kw] Energy Cost [ /kwh] EXAMPLE 2: CO2 MINIMIZATION E-Parking lot Barcelona WITH storage systems WITHOUT BATTERY 0,14 0,12 0,1 0,08 0,06 0,04 0,02 0 CO2 MINIMIZATION application has been tested in this simulation Battery operation follows CO 2 emission curve WITH BATTERY Time [h] Grid Photovoltaic V2G Discharge V2G Charge Slow charge Fast Charge EnergyCost 0,32 0,31 0,3 0,29 0,28 0,27 0,26 0,25 0,24 CO2 saving: 33.2 KgCO2 (-0.57%) Daily energy cost is higher (+1.7%) Peak demand: 173 kw (-7%) ,23 p.inter ppv pevc pevd ps DEVS Dfast CO2 26

26 Power [kw] 19:00 19:45 20:30 21:15 22:00 22:45 23:30 0:15 1:00 1:45 2:30 3:15 4:00 4:45 5:30 6:15 7:00 7:45 8:30 9:15 10:00 10:45 11:30 12:15 13:00 13:45 14:30 15:15 16:00 16:45 17:30 18:15 Power [kw] Energy Cost [ /kwh] EXAMPLE 3: COST MINIMIZATION E-Parking lot Barcelona WITH storage systems WITHOUT BATTERY 0,14 0,12 0,1 0,08 0,06 COST MINIMIZATION application has been tested in this simulation ,04 0,02 0 Peak demand: 173 kw (-7%) Generation WITH BATTERY Time [h] Grid Photovoltaic V2G Discharge V2G Charge Slow charge Fast Charge EnergyCost 0,14 0,12 0,1 0,08 0,06 0,04 Battery is operated for using the price differences among peak and off-peak periods ,02 Demand Time [h] Fast Charge Slow charge V2G Charge Storage 27 V2G Discharge Photovoltaic Grid EnergyCost

27 Thank you! Lourdes García Duarte ENDESA S.A. Research, Technological Development and Innovation Avda. Vilanova, Barcelona (Spain)