masayuki kawamoto at basf science symposium 2015

© 2011 Smart Melit council ALL RIGHTS RESERVED.

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Smart Communities create Low Carbon SocietyToyota City’s Low Carbon Society System

March 9, 2015Masayuki Kawamoto

BASF 150 years Science Symposium Smart energy for a sustainable futureSustainable energy consumption session


Next Generation Low Carbon Society Systems

Optimizingenergy use in homes

Optimizing energy usein a local community

Low-carbon transportation systems

Optimizing energyuse at commercialand public facilities

Expand Low-carbon society from Householdsto Mobility systems and Public space

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TDMS

FEMS

Manufacturing PlantsConvenience Store

Public Charger

DRAS

SchoolBEMS

EDMS

Home Appliances

FC water heater

Vehicle to Home

Ecological Driving Assistance

Virtual Electric PowerManagement Server


Smart Devices and Systems in the Smart HouseAll of 67 smart houses in the demonstration district

have almost same equipment as shown in below

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HEMS

EV/PHV

ITS

Public Transportation

EDMS

DataAcquisition Accumulation

DataAccumulation

DataAnalysis

&Prediction

Green LifeGuidance

&System Control

Netw

ork

Macro-data・Weather Information・Season, Day of the week・Traffic data, etc.

Micro-data・Daily Energy usage・Consumer’s activity

Feedback Energy usage Optimizationas a whole social system

Convenience store

Supermarket

Motivate a Green Life Style to Optimize Total Energy Use

Keep the community energy use in optimum by guiding people to ecological life with high QOL(Quality of Life)

Offset energy use timing from regional peak demand of electricity

Dynamic pricing with Eco-point

Energy-saving by visualization

Motivate people by providing eco-life tips and Eco-ranking

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Point becomes Negative;Lower energy supply from the Sunand higher electricity demand

Use and Store electricity during positive point period Use stored electricity during negative point period

Point becomes Positive;Enough energy supply from the Sun and lower electricity demand in a Community

Behavior with Dynamic Point Incentive - 4 -


Ecological Life Guidance by Visualization of Energy Use

Showing ecological status of total communityand your own contribution

When, How and How much you have got the points

You can check several info.by various info. terminals

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Data Analysis Center of Toyota City demonstration ProjectData collection, analysis and issue incentives/recommendations

MondaySept.242012

Outside temp.26

Higashiyama

Takahashi

Green Power ratio 23%

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6

1218

23

15

30

45

57

2011 2012 2013 2014 2015

10

20

30

40

50

60

0

70 67

Number ofSmart House

year

HEMS

EDMS + HEMS

Divided into 2 groups in the demonstration site (with EDMS service and without EDMS) before ADR service starts

Demonstration data collection plan

Referencegroup

Collected another reference group data from 160 conventional houses

27

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Young Couple Family

Older couples

Families with childrenFamilies with babies

Local community in Provincial town• A local community often consists of almost same generation families.• The community become older year by year with the residents.• Same generation has a similar life style with similar energy consumption pattern.• It creates huge energy usage peak and bottom inside community.

With the passing of the years

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CO2 reduction effect over 1 year (2012)

18 17 20 20 19 15 17 22 14 16 21 23

The energy saving effect of EDMS services was confirmed. Energy consumption was reduced by 18.8% compared to the targeted local energy management effect of 2 to 10%.

The energy saving effect of EDMS services was confirmed. Energy consumption was reduced by 18.8% compared to the targeted local energy management effect of 2 to 10%.

Average CO2 reduction effect due to local energy management: 18.8%

0 5 10

2012/01

2012/02

2012/03

2012/04

2012/05

2012/06

2012/07

2012/08

2012/09

2012/10

2012/11

2012/12

(Year/month)

Only HEMS functions

With EDMS services

(kg CO2) Reduction effect by EDMS services (%)15

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* Average CO2 reduction effect by EDMS services was dropped from that of 2012* Several reasons are considered; climate difference, lose interest,

increase knowledge of electricity usage -> limitation of behavior guidance? External automatic control will be required !

CO2 reduction effect over 1 year (2013)

CO2 reductionby EDMS services

(%)0 2.5 5 7.5 10 12.5 15

2012/11

2012/12

2013/01

2013/02

2013/03

2013/04

2013/05

2013/06

2013/07

2013/08

2013/09

2013/10

(kg-CO2)

11.4

16.6

19.6

17.3

13.2

11.6

12.2

8.6

10.0

18.4

12.3

8.6

EDMS applied ; CO2 emission

EDMS not applied ; CO2 emission

CO2 reduction effect by EDMS services ; average 13.3%

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Elasticity of Critical Peak Pricing (CPP)At the CPP timing in the summer of 2013, the elasticity was reduced as compared with that in the summer of 2012 (around 40% -> 20%)

Although the elasticity still indicates positive correlation in the summer of 2013, dispersion became higher and sensitivity became lower

Peak cut effectby CPP (%)

Electricity unit price (Yen/kwh)

Summer Daytime(13-16:00) Winter Daytime(9-12:00)

1000 20 40 60 800

10

40

50

20

30 1/23

1/16

1/251/17

0

10

40

0 20 40 60 80

20

30

7/5

7/9

7/10

7/177/16

7/26

7/23

9/25

9/12

-10

7/27

8/87/17

9/24

8/15

9/10

7/19

7/22

7/12

8/2 8/21

8/8

8/6

8/1

8/289/5

9/148/3

8/30

9/27

8/21

0 20 40 60 80

0

10

40

20

30

-10

(a) EDMS + CPP

2012/7/27 \632012/7/26

2013/7/23 \50

2013/7/8

0

200

400

600

800

1000

1200

12:00 15:00 18:00 21:00

kWh

0

200

400

600

800

1000

1200

12:00 15:00 18:00 21:00

kWh

2012/7/272012/7/26

2013/7/23

2013/7/8

(b) HEMS

Blue: 2012Red：2013

Electricity unit price (Yen/kwh) Electricity unit price (Yen/kwh)



Summer Nighttime(19-21:00)

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Various kinds of services for Ecological and Economical use of PHV

Support to increase chances of charging in town

Increase EV mode usage

Driving support for better HV mileage

EV modeHV mode

Driving support for better EV mileage

Timing control for low price charging,avoiding peak usage of electricity in your house and local communityAt shopping or Leisure At parking

Driving PHV : Eco-drive ranking

At home ; Charging ControlOutside of home ; Charging games

Ecological and Economical support for PHV - 12 -


Distance driven per 100yen

Over all ranking view

yen

You have beenmarked by 2 drivers

Unset

Ave.

Nickname #####

1st

2nd

3rd

8th

8th

Monthly Ranking (June)

Ave. 23.4km

EV mode usage

Nickname AAAA

Nickname CCCC

Nickname BBBB

Nickname AAAA

Nickname ####

Ave. 23.4km

Ave. 23.4km

Ave. 23.4km

Ave. 23.4km

Distance per 100yen

EV modeusage

Combined Fuel mileage

EVmileage

PHV Eco-Drive Ranking ( Eco : Ecology and Economy ) - 13 -


Optimum timing info. & control for PHV Charging

1) Charge NowStart PHV charge within 3 hours from now

2) Recommended Charge timing

Recommend based on energy demand balance in the community

3) Optimum ControlAutomatic charge timing control by EDMS

4) PHV Charging statusMonitor PHV statuse.g. SOC of Battery, Remaining charging time, etc.

▼

5.68

▼

4.47

0

1

2

3

4

5

6

0 3 6 9 12 15 18 21 24(time)

（kWh)

0

1

2

3

4

5

6

0 3 6 9 12 15 18 21 24

（kWh)

▲21%

Feb. 13

Feb. 6

Feb. 2

Feb. 16

Feb.20

Feb. 10

Scattered the peak demand in midnight to other several time periods

Provide the optimum charge timing information or automatic control with reasonable price, avoiding local electricity usage concentration

PHV Charging Mode

Before Charging Supports

AfterCharging Support

Charge timing Scattering result

(time)

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Not yet visitedVisited Spot

Motivate PHV charging in the town : Charging spots tour

TOP menu Visited Charging spots in the past

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Users collect points by charging their PHV. Accumulated points allow users to move around the country and virtually “occupy” each region.

pt

Nagano occupied!!

Harvest

Pt

I have 200 pointsnow.

Tokyo

Kanagawa

Yamanashi

Saitama

Gunma

Chiba

Ibaraki

Tochigi

Fukushima

Nagano

Niigata

Gifu

Toyama

Ishikawa

Fukui

AichiShiga

National map

ptpt

pt

pt

pt

pt

ptpt

pt

pt

ptpt

occupied

occupiedoccupied

occupied

occupied

occupied

occupied

Users collect points by harvesting fruit that grow when they charge their PHV

Iyo-can is in Gunma. Enlarging the map shows how many points the user needs to occupy the region.

Current points: 200

Current points: 370

Motivate PHV charging in the town : Kunitori Gassen* game * Literal meaning: "Conquer the nation"

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Commercial Power Supply

Power Receiving equipment

FC Bus

• Provide electricity to the evacuation facility (e.g. a gymnasium) in case of emergency from FC bus

Max Power：9.8kW

DC

Provide electricity directly to home appliances

V2L; Vehicle to Load

AC100V

AC200V

Switch Board

Circuit Board

AC

Discharge from FC bus to the facility

Max Power：1.5kWAC

HEMS

Additional function of PHV & FCV （V２H） V2H; Vehicle to Home

Utilize electricity from the vehicle for non-driving use in the emergency timeas well as in the ordinary time.

• V2H with interconnected operation in the ordinary time, and V2L for home appliances use in the emergency time

Home appliancesDischarge from PHV to Home

Max Power：1.5kW

AC

PHV

FC Bus

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P・COMone-seater small EV

T・COMtwo-seater small EV

i-ROADthree-wheeled

one-seater small EV

Destination

Home

Drop off at any stations.

Public Transit TrainStation

GPS

Management Center

Ultra-compact EV about 100 vehicles

Membership based Operation

Peak power control for EV charging cooperated with EDMS

Traffic Management System (TDMS) : Ha:moSelf-service car sharing system complementing public transportation, utilizing ultra-

compact electric vehicles

RadioCommunicationUser registration

by Smart phone

EV stations and Charging facilities

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EDMS

School

* Future potential candidate for sharing energy with residential area* Educate children who take on the future energy society

Collaboration with local school

Explore the virtual energy world

Virtual interaction with energy world

September 3, 2013

Thermal Power Plant

mammoth

Oil tanker

ThermalPowerPlant

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Expanding Citywide Energy Prediction by Simulation• Wider area analysis of energy consumption by simulation• The actual data was disassembled to person’s behaviors,

then assembled to different virtual energy consumers

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1)Optimum Energyuse in a Home

Category Sub Module

Diffusion of Smart Houseand Renewable energy use

Life support agent/advices

Surplus PV power sharingIn a local community

Next Generation Vehiclepromotion

Personal Target Set&Challenge

DR point incentive・RTP

Traffic flow management andEco-drive promotion

Expansion of Electricity andHydrogen charging facilities

Personal Mobility SharingModal shift to Public Transit

Calculation Results(CO2 Emission , Reduction (t-CO2))(CO2 Reduction rate(%))

Total 614,260879,000

236,470

377,790

419,000

460,000

Reduction ratein all sectors

Reduction Ratein the sector

CO2Emission（2006）

CO2 reduction（2006->2020）

▲82,210

▲51,530

▲18

▲131,000 ▲31

▲9

▲15

▲12 ▲6

▲264,740 ▲30.1

CO2 reduction target(-30%) in the Master Plan was achieved

Est.CO2Emission（2020）

2)Optimum Energyuse in a Local Community

3)Low CarbonTransportationSystem

Surplus PV power sharingwith local school

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Thank you for your attention

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