Energy and Mobility Optimization in a Local Community with EDMS

Transcription

1 High-level Symposium on Sustainable Cities: Connecting People, Environment and Technology Energy and Mobility Optimization in a Local Community with EDMS Toyota City s Low Carbon Society System Field Test Project January 16, 215 Masayuki Kawamoto - 1 -

2 Next Generation Low Carbon Society Systems Expand Low-carbon society from Households to Mobility systems and Public space Virtual Electric Power Management Server DRAS Public Charger Low-carbon transportation systems Optimizing energy use in a local community Optimizing energy use in homes Home Appliances EDMS TDMS Ecological Driving Assistance Optimizing energy use at commercial and public facilities FC water heater Vehicle to Home FEMS Manufacturing Plants School BEMS Convenience Store - 2 -

3 Motivate a Green Life Style to Optimize Total Energy Use Macro-data Weather Information Season, Day of the week Traffic data, etc. Micro-data Daily Energy usage Consumer s activity Feedback Network Data Acquisition EDMS Data Accumulation Data Analysis & Prediction Energy usage Optimization as a whole social system Green Life Guidance & System Control Energy-saving by visualization HEMS ITS Convenience store Motivate people by providing eco-life tips and Eco-ranking EV/PHV Public Transportation Supermarket Offset energy use timing from regional peak demand of electricity Dynamic pricing with Eco-point Keep the community energy use in optimum by guiding people to ecological life with high QOL(Quality of Life)

4 Traffic Management System (TDMS) : Ha:mo Self-service car sharing system complementing public transportation, utilizing ultra-compact electric vehicles Management Center User registration by Smart phone Home Public Transit Radio Communication Train Station GPS Membership based Operation Drop off at any stations. Destination Ultra-compact EV about 1 vehicles EV stations and Charging facilities i-road three-wheeled one-seater small EV P COM one-seater small EV T COM two-seater small EV Peak power control for EV charging cooperated with EDMS - 4 -

5 Elasticity of Critical Peak Pricing (CPP) At the CPP timing in the summer of 213, the elasticity was reduced as compared with that in the summer of 212 (around 4% -> 2%) Although the elasticity still indicates positive correlation in the summer of 213, dispersion became higher and sensitivity became lower Peak cut effect by CPP (%) kwh (a) EDMS + CPP 212/7/26 Summer Daytime(13-16:) 7/27 7/1 7/26 7/23 7/17 8/8 7/9 9/1 9/24 8/15 7/5 9/25 213/7/ 8 9/12 7/16 7/ /7/23 \5 212/7/27 \63 12: 15: 18: 21: Electricity unit price (Yen/kwh) Peak cut effect by CPP (%) kwh /7/ /7/ /7/26 212/7/27 12: 15: 18: 21: 9/14 8/8 8/3 9/5 8/28 8/2 7/22 8/3 8/21 9/27 8/1 8/6 7/19 7/12 8/21 (b) HEMS Summer Nighttime(19-21:) Electricity unit price (Yen/kwh) Peak cut effect by CPP (%) Winter Daytime (9-12:) 3 1/23 1/16 1/25 1/ Blue: 212 Red:213 1 Electricity unit price (Yen/kwh)

6 Optimum timing info. & control for PHV Charging Provide the optimum charge timing information or automatic control with reasonable price, avoiding local electricity usage concentration PHV Charging Mode Charge timing Scattering result 1) Charge Now Start PHV charge within 3 hours from now 2) Recommended Charge timing Recommend based on energy demand balance in the community (kwh) Feb. 13 Feb. 6 Feb. 2 Before Charging Supports % 3) Optimum Control Automatic charge timing control by EDMS 4) PHV Charging status Monitor PHV status e.g. SOC of Battery, Remaining charging time, etc (time) Scattered (kwh) the peak demand in midnight to other 6 several time periods Feb.2 Feb. 16 Feb After Charging Support (time)

7 CO2 reduction target(-3%) in the Master Plan was achieved Category 1)Optimum Energy use in a Home Sub Module Diffusion of Smart House and Renewable energy use CO2 Emission (26) Calculation Results(CO2 Emission, Reduction (t-co2)) (CO2 Reduction rate(%)) Est.CO2 Emission CO2 reduction (22) (26->22) Reduction Rate Reduction rate in the sector in all sectors 2)Optimum Energy use in a Local Community 3)Low Carbon Transportation System DR point incentive RTP Life support agent/advices Personal Target Set&Challenge Surplus PV power sharing In a local community Surplus PV power sharing with local school Next Generation Vehicle promotion Expansion of Electricity and Hydrogen charging facilities Traffic flow management and Eco-drive promotion Modal shift to Public Transit Personal Mobility Sharing 46, 419, 377,79 236,47 Total 614,26 879, 82, , , ,74 3.1

8 - 8 - Thank you for your attention