Cars in the Future Energy Policy, Forecasting & Modelling Hannah Daly Sustainable Energy Research Group Environmental Research Institute University College Cork ERI Research Open Day December 15 th, 2010
“Car of the Future”
Summary of Motivations: Climate change & CO 2 Peak oil Security of supply Volatile oil prices EU targets Cars are particularly hard
Energy Modelling Bottom-Up vs Top-Down Simulation Optimisation
Bottom-Up Car Stock Model 1. Disaggregate the fleet 1. Fuel type 2. Age 3. Engine size (cc band) 2. Characteristics of each type of car 3. Econometric drivers: activity and sales 4. Demographic forecasting
1. Disaggregated Car Stock 2008
2. Scrappage Profiles
3. Econometric Drivers Annual Sales & Vkm driven by GNP & fuel price Elasticities derived from historic regression
3. Econometric Drivers
4. Demographic Forecasting
5. Energy Calculation
Scenario Analysis Change parameters to test policies.. –Type of salesEV, new-car efficiency targets –Economy & fuel priceImpact of recession –Scrappage profileScrappage scheme –Activity Modal shift, demand reduction Compare energy, CO 2 to baseline
EV Scenario: 2020 Stock Profile
EV Results
EV Results: Energy & CO 2 Displaced
EV Results: Renewable Energy
Biogas: CNG vehicles 10% CNG vehicle target Lower carbon content Same efficiency as Diesel cars Possibility of renewable biomethane: 7.5%
Result: CNG vs EV
RES-T
Future Direction TIMES model: –What is the cost optimal technology mix to reach targets? Modal shift –What are investment costs and payoffs for public & non-motorised transport? Socio-economic technology modelling: –How does the changing socio-economic profile effect modal and technology choice?
Cars in the Future Energy Policy, Forecasting & Modelling Hannah Daly Sustainable Energy Research Group Environmental Research Institute University College Cork ERI Research Open Day December 15 th, 2010