linking plug-in vehicles to renewable energy through smart grids · 2013-06-26 · wind, solar...
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1Linking Plug-in Vehicles to Renewable Energy through Smart Grids
Jonn AxsenResource and Environmental Management
Simon Fraser UniversityMay 3, 2013
A vision of “smart grid” with plug-in vehicles?
3
0
500
0 500 1000
Carbon intensity of electricity
GHGImpact
CoalNatural Gas
Regular
Hybrid
Wind, solarsmall hydro
Electric
Different levels of PEV-grid integration
PEVcharged
bygrid
PEVconsumer
buygreen
electricity
“Utilitycontrolledcharging”
of PEV
Vehicle-to-Grid(V2G)
Increasing interaction, engagement, or “smart-ness”
Part 1:
PEV charged by grid. What impacts?
(Energy Policy, 2011)
Integrating demand and supply models
PHEV Design(e.g. B-10)
DrivingPatterns
RechargePotential
Energy useProfile
Demand Model Supply Model
CA ElectricityDemand
Power Plants
Imports
GenerationModel
PHEVGHG emissionsprofiles
GasolineEmissionsFactor
SurveyData
EnergyData
We focus on plausible “early PHEV buyers”
n = 877New Vehicle
Buyers
“Early PHEVMarket”(n=282)
Total(n = 877)
1.Want PHEV2.Home recharge
0%10%20%30%40%50%60%70%80%90%
100%
12am 4am 8am 12pm 4pm 8pm 12am
% ofRespondents
ParkedWithin25 ft. of
ElectricalOutlet
Time of Day (Hours)
Home Potential
(Weekdays, n = 232)
Consumer Recharge Potential: Mostly at home, at night
OtherWork
0
100
200
300
400
12am 8am 4pm 12am
MW per
millionPHEVs
Time of Day (Hours)
“Plug and Play”
Uncontrolled, immediate chargingwould peak at 6pm
0
100
200
300
400
12am 8am 4pm 12am
MW per
millionPHEVs
Time of Day (Hours)
“UniversalWorkplace”
(+25%)
Additional workplace accesswould increase daytime load
“Plug and Play”
0
100
200
300
400
12am 8am 4pm 12am
MW per
millionPHEVs
Time of Day (Hours)
“UniversalWorkplace”
(+25%)“Off Peak”
(-25%)
“Off-peak only” wouldeliminate daytime load
“Plug and Play”
Modeling 2010 and 2020 emissions with EDGE-CA
(McCarthy and Yang, 2010)
CaliforniaGen.Mix
(MW)
NuclearRenewables
Imports
Hydro
NaturalGas
0
500
1000
1500
2000
2500
12am 8am 4pm 12am
Gas
TonnesCO2Per
MillionVehicles
Time of Day (Hours)
Modeling time of day GHGs:Baseline
1. Regular vehicles
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2000
2500
12am 8am 4pm 12am
ElectricityGas
TonnesCO2Per
MillionVehicles
Time of Day (Hours)
#2: “User” Plug and Play
= 37% Reduction
“User” PHEVs cut GHGs by one-third
TotalArea
0
500
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1500
2000
2500
12am 8am 4pm 12am
ElectricityGas
TonnesCO2Per
MillionVehicles
Time of Day (Hours)
Increased workplace chargingis less desirable
#3: “User” Workplace
= 36% Reduction
0
500
1000
1500
2000
2500
12am 8am 4pm 12am
ElectricityGas
TonnesCO2Per
MillionVehicles
Time of Day (Hours)
Off-peak charging is more desirable
#4: “User” Off-peak only
= 38% Reduction
Part 2:
Voluntary markets.Do you want “green electricity”
with that PEV?
(Environmental Research Letters, 2013)
Research Objectives and Method1. Assess interest in PEVs and green electricity programs.2. Does combination increase demand for PEVs? 3. Characterize consumer motivations.
20-minute web-based survey (n = 1502) (3 segments: buyers of conventional, HEV and PEVs)
1. Game 1: PEV design2. Game 2: Green-electricity design3. Game 3: “Combined” design (PEV and Green-E)4. Motivation assessment
0%
20%
40%
60%
% ofsample
Vehicle design
Regularvehicle Hybrid
Plug-inhybrid Electric
25-32%
Game 1: One-third select a PEV design
% ofsample
“Green” electricity design
0%
25%
50%
No program
2-yr lease
Monthly
Current Current solar
Rooftop solar
27-33% Green
program
32-35% Solar
Game 2: Two-thirds select green-electricity
Conventional
Hybrid
Plug-in hybrid
Pure electric
None Greenprogram
Greenlease
Homesolar
31% select a combination
Game 3: And when we offer both together…
% ofsample
0%
50%
100%
Vehicleonly
With greenelectricity
Hybrid
Regular
Plug-in hybrid
Electric
25%select PEV
31%
PEV demand increases by ~20%
Consumer motivations for combiningEnvironment (air quality)Oil politicsSupporting renewablesControl over energyExploring new technology
Part 3:
Considering “Utility controlled charging” for PEVs
(Funded but still unnamed grant, 2012-15)
What is “utility-controlled charging”?
Context: • PEV owners wants to recharge their vehicle• PEV is plugged in longer than total required
charging time (say, only 6 out of 12 hours needed)Opportunity• Electric utility has control over charge timingFraming (Goal)• PEV charging can be “matched” to the availability of
intermittent renewables
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Assessing demand for “utility-controlled charging”
Data collection– Canada-wide survey (in progress)– Metro Vancouver interviews (PEV and car buyers)– Other data? (Charger use?)
Analysis methods– Discrete-choice modeling (PEV and charging)– Excel models of recharge profiles– Energy-economy model of long-term demand (CIMS)– Content analysis of interviews (narratives?)
PEV Survey OverviewSample
– New vehicle buyers– Total:1700 Canadians (not QC),
BC oversample: ~600– Representative for gender, income, age, etc.
Web-based Survey LayoutPart 1: (20 minutes)Knowledge/perceptions of vehicles, electricity, lifestyle, etc.
Part 2: Home recharge assessment + 3 day driving diary
Part 3: (25 minutes)Modeling vehicle and charging preferences
Survey flow:Respondent is given a basic “education” in our terminology, then:1. PEV choice model (vehicle type, electric range,
fuel cost, purchase price)2. PEV “design space”
3. “Charging style” choice model (% renewables, type of “green”, monthly bill, percent guaranteed charge in morning)
4. “Green electricity” design space
A vehicle preference choice experiment
A charging style choice experiment
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12am 8am 4pm 12am
Use consumer data to build more sophisticated models of utility-controlled charging in
BC/Canada
Pulling it all together…
Different levels of PEV-grid integration
PEVcharged
bygrid
PEVconsumer
buygreen
electricity
“Utilitycontrolledcharging”
of PEV
Vehicle-to-Grid(V2G)
Increasing interaction, engagement, or “smart-ness”
Staticgrid
Meshingideas ofgreen
Actuallyputting
renewablesinto PEVs
not yet…
Where does all this fit into our Smart Grid partnership?
• Personal transport (linking PEVs to grid)• Grid modernization required for more advanced
linking (utility-controlled charging or V2G)• Understanding consumer perceptions of and willing
to interface with (green) electricity• Consumer relationships with utilities (and potential
for “re-framing” smart grid initiatives)• Link to actual smart grid initiatives in different
jurisdictions