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

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The Green eMotion project:

pan-European effort

towards an interoperable electromobility system

CIVITAS DYN@MO Summer University 2014

14 May 2014

Palma (Mallorca), Spain

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Project basics

The creation of a unique and user-friendly framework for

green electromobility in the Europe.

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Green eMotion project is part of the European Green

Cars Initiative (EGCI) that was launched within the

context of the European Recovery Plan

.

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The project has a total budget of €42 million and is

funded by the European Commission with €24 million.

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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.

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The project was officially launched on 31 March 2011

and it will finish on March 2015 (48 months).

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Project basics

takes care that you will be e-mobile throughout Europe

Will I be able to charge my

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Motivation for the Green eMotion Project

The situation:

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Number of electric vehicles (EV) is increasing heavily in Europe over the next decade (see draft of EGCI Roadmap for EV in Europe)

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Quite a big number of local electromobility demonstration projects funded by regional, national or European programs are running.

Leads to three major requirements:

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Coordination of results from existing demonstration projects to define best in class solutions.

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Standardization of technologies has to be in place 2015 at the latest.

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To drive a car conveniently between the existing demo regions, an overarching coordination is necessary (roaming).

Number of EV/PHEV in the EU

Mio. 5,0 4,0 3,0 2,0 1,0 0 2010 2012 2014 2016 2018 2020 Milestone 1 Milestone 2 Milestone 3 Introduction getting started Intermediate 2nd_{Gen EV} Mass Production 5 Mio. EVs by 2020 Source: EGCI

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Green eMotion – a 42 Mio € project with 43 Partners

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)

FP7 call TRANSPORT – 2010 TREN -1 Project Start: March 2011

Duration: 4 years Funding: 24 Mio €

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European electromobility – the big picture

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Defining the Framework for Electromobility in Europe

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Green eMotion tests and demonstrates the

interoperability of an electromobility

system in selected demo regions.

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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).

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Green eMotion recommends ways to an

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The infrastructure story

EVSE operator wants to install charging infrastructure:

Which type (AC/DC/swapping)? How many?

Where (considering the lowest grid connection costs)?

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Defining the Framework for Electromobility in Europe

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Green eMotion recommends selected

standards for an interoperable

electromobilty system (de facto standards for Europe).

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Green eMotion adjusts the proposals and

results in discussion with a broad

stakeholder base.

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Green eMotion defines the IT architecture

for a European marketplace including

interfaces which allows competition in implementation.

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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

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Demonstration

Regions

Existing demonstration region Replication region

External demonstration sites

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10 Demonstration regions fully

operative, involving 7 countries and more than 15 municipalities.

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2 Replication regions and 1

demonstration region to be

included in 2013.

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5 External demonstration projects

already sharing data.

1800 charging points Monitoring 600 electric vehicles

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Demonstration

Regions

• In the Green eMotion demo

regions roughly 2.000 EVs are

driving right now and for their

electricity supply more than

2.500 charging points are

installed.

• This will increase to around

70.000 EVs and more than

80.000 charging posts in 2015.

• In total more than 380 Mio

€

are spend in funded projects

within these demo regions (+

private investments by GeM

partners).

Existing demonstration region Replication region

Municipalities involved in Green eMotion

Madrid Guipúzcoa

Malaga Kozani Rome Budapest Berlin Copenhagen / Bornholm / Malmö Strasbourg Pisa Barcelona Karlsruhe/Stuttgart Dublin Cork

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Demonstration

Regions

Existing demonstration region Replication region Municipalities involved in Green eMotion Malaga Madrid Barcelona Guipúzcoa Strasbourg Cork Dublin Copenhagen Berlin Karlsruhe/Stuttgart Budapest Kozani Rome Pisa Malmö Bornholm

 Roaming via smartphone application

 Plug&Charge - PLC identification

 Roaming

 Battery switch station

 On-board system (mobile service)

 Roaming

 Search EVSE

 DC charging

 Roaming

 Grid upstream infrastructure prototypes

 Inductive charging

 EV charging in different regions

ROI/NI/UK/PiP charging event

 Search EVSE backend services

 Aggregated information available

for GeM from CROME

 CROME – GeM marketplace

 Marketplace to marketplace communication

 Roaming  Search EVSE  Roaming  Search EVSE  Load management  MicroMobility  Minibus service  Supply quality

 Marketplace and roaming

 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  Roaming  Roaming

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73.32% 26.68%

Start charging processes percentage

Office parking

25.27%

installed

39.51%

uses

Public access

60.15%

installed

26.12%

uses

Charge

event

characterization

E F Average EV SOC when start charging

from 63% to 65% IC95%(m)

Average charge duration (IC95%(m))

Average charge consumption (IC95%(m))

Household

10.05%

installed

34.37%

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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:

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Load Management charging system into AC

infrastructure.

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DC fast Charge station integrating 2nd_Life

Batteries embedded into SmartGrid Concept.

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Market Place Services.

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e-mobility Smart Grid New Functionalities -

Charging Management Schemes.

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Grid Impact on High Penetration Local Area

of EV.

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1. Load Management charging system

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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.

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2. DC Fast Charge Station in Malaga

Meas ures

Grid Measur es ENDESA is working on the construction of a DC

Fast Charging station 50 kW + 2nd life battery in collaboration with Renault and Malaga

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3. Market Place Services

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Market Place features are going

to be demonstrated by ENDESA

in coordination with IBM,

Siemens and Enel.

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EVSE search and roaming

services

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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.

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3. Market Place Services

MarketPlace

Enel EVSE Operation Back-end Endesa Services Back-end Endesa EVSE Operation Back-end Enel Services Back-end Roaming Authorization Request _Roaming Authorization Response Roaming Authorization Request Roaming Authorization Response

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4. Grid Impact on Local High Penetration Area of EV

º º 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

CARGA RAPIDA

Infraestructura de recarga rápida en la “isla de Energía” para uso público y también de flota Endesa 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.

MICROGENERACION Microgeneración eolica y fotovoltaica para minimizar la potencia contratada.

ALMACENAMIENTO Sistema de almacenamiento integrado al sistema de gestión de demanda para absorber/suministrar excesos de energía en función de la

oferta/demanda.

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4. Grid Impact on Local High Penetration Area of EV

No Model Nominal power

10 AC Enel Charger 3.7 kW / 22 KW 1 Endesa DC EQC50 50 kW 1 Endesa V2G 10 kW bidirectional

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5. Smart Grid Management Schemes New Functionalities

2nd life batt + 40kW

converter + 50kW

Charger + gateway

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 Wire section: 50mm2 Wire section: 10mm2 AC DC AC/DC converter (ABB)

40kVA

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25 -200 -150 -100 -50 0 50 100 150 200 1 9 :0 0 1 9 :4 5 2 0 :3 0 2 1 :1 5 2 2 :0 0 2 2 :4 5 2 3 :3 0 0 :1 5 1 :0 0 1 :4 5 2 :3 0 3 :1 5 4 :0 0 4 :4 5 5 :3 0 6 :1 5 7 :0 0 7 :4 5 8 :3 0 9 :1 5 1 0 :0 0 1 0 :4 5 1 1 :3 0 1 2 :1 5 1 3 :0 0 1 3 :4 5 1 4 :3 0 1 5 :1 5 1 6 :0 0 1 6 :4 5 1 7 :3 0 1 8 :1 5 Po w e r [k W ] Time [h] 0 0,02 0,04 0,06 0,08 0,1 0,12 0,14 -200 -150 -100 -50 0 50 100 150 200 1 9 :0 0 1 9 :4 5 2 0 :3 0 2 1 :1 5 2 2 :0 0 2 2 :4 5 2 3 :3 0 0 :1 5 1 :0 0 1 :4 5 2 :3 0 3 :1 5 4 :0 0 4 :4 5 5 :3 0 6 :1 5 7 :0 0 7 :4 5 8 :3 0 9 :1 5 1 0 :0 0 1 0 :4 5 1 1 :3 0 1 2 :1 5 1 3 :0 0 1 3 :4 5 1 4 :3 0 1 5 :1 5 1 6 :0 0 1 6 :4 5 1 7 :3 0 1 8 :1 5 E n e rg y C o s t [€ /k W h ] P o w e r [k W ] Time [h]

Grid Photovoltaic V2G Discharge V2G Charge Slow charge Fast Charge EnergyCost

Peak demand:

140 kW (-25%)

Battery is operated for reducing the peak consumption of the whole facility

EXAMPLE 2: PEAK SHAVING

E-Parking lot Barcelona WITH storage

systems

PEAK SHAVING

application has been tested in this simulation WITHOUT BATTERY WITH BATTERY 0 0,02 0,04 0,06 0,08 0,1 0,12 0,14 -200 -150 -100 -50 0 50 100 150 200 P o w e r [k W ] Time [h] Generation Demand

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26 0 0,02 0,04 0,06 0,08 0,1 0,12 0,14 -200 -150 -100 -50 0 50 100 150 200 1 9 :0 0 1 9 :4 5 2 0 :3 0 2 1 :1 5 2 2 :0 0 2 2 :4 5 2 3 :3 0 0 :1 5 1 :0 0 1 :4 5 2 :3 0 3 :1 5 4 :0 0 4 :4 5 5 :3 0 6 :1 5 7 :0 0 7 :4 5 8 :3 0 9 :1 5 1 0 :0 0 1 0 :4 5 1 1 :3 0 1 2 :1 5 1 3 :0 0 1 3 :4 5 1 4 :3 0 1 5 :1 5 1 6 :0 0 1 6 :4 5 1 7 :3 0 1 8 :1 5 E n e rg y C o s t [ €/ k W h ] P o w e r [k W ] Time [h]

CO2 MINIMIZATION

application has been tested in this simulation

0,23 0,24 0,25 0,26 0,27 0,28 0,29 0,3 0,31 0,32 -200 -150 -100 -50 0 50 100 150 200 19 :00 20 :00 21 :00 22 :00 23: 00 0: 00 1: 00 2: 00 3: 00 4 :0 0 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 C O2 [Kg C O2/kWh] Pow e r [ kW ]

p.inter ppv pevC pevD

pS DEVS Dfast CO2

Battery operation follows CO₂ emission curve. WITHOUT BATTERY WITH BATTERY CO2 saving: 33.2 KgCO2 (-0.57%)

Daily energy cost is

higher (+1.7%)

Peak demand:

173 kW (-7%)

EXAMPLE 2: CO2 MINIMIZATION

E-Parking lot Barcelona WITH storage

systems

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27 0 0,02 0,04 0,06 0,08 0,1 0,12 0,14 -200 -150 -100 -50 0 50 100 150 200 1 9 :0 0 1 9 :4 5 2 0 :3 0 2 1 :1 5 2 2 :0 0 2 2 :4 5 2 3 :3 0 0 :1 5 1 :0 0 1 :4 5 2 :3 0 3 :1 5 4 :0 0 4 :4 5 5 :3 0 6 :1 5 7 :0 0 7 :4 5 8 :3 0 9 :1 5 1 0 :0 0 1 0 :4 5 1 1 :3 0 1 2 :1 5 1 3 :0 0 1 3 :4 5 1 4 :3 0 1 5 :1 5 1 6 :0 0 1 6 :4 5 1 7 :3 0 1 8 :1 5 E n e rg y C o s t [€ /k W h ] P o w e r [k W ] Time [h]

0 0,02 0,04 0,06 0,08 0,1 0,12 0,14 -200 -150 -100 -50 0 50 100 150 200 P o w e r [k W ] Time [h] Generation Demand Peak demand: 173 kW (-7%)

Battery is operated for using the price

differences among peak and off-peak periods

EXAMPLE 3: COST MINIMIZATION

E-Parking lot Barcelona WITH storage

systems

COST MINIMIZATION

application has been tested in this simulation

WITHOUT BATTERY

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Thank you!

Lourdes García Duarte

[email protected]

ENDESA S.A.

Research, Technological Development and Innovation Avda. Vilanova, 12

08018 – Barcelona (Spain)

http://www.civitas.eu

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