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Low Carbon Development Planning. How to EFFECT Low Carbon Development. What is EFFECT?. Energy Forecasting Framework & Emissions Consensus Tool . Excel-based, bottom-up, engineering style model Supports consensus building and planning in key sectors of the economy
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Low Carbon Development Planning How to EFFECT Low Carbon Development
What is EFFECT? Energy Forecasting Framework & Emissions Consensus Tool • Excel-based, bottom-up, engineering style model • Supports consensus building and planning in key sectors of the economy • Helps assess the impact of policy choices on GHG emission levels • Used in Brazil, India, Poland, and six Asian-Pacific countries
How does EFFECT Support Low Carbon Development (LCD)? • SCENARIO PLANNING • Develop emissions forecasts over a 25-year+ period • Prioritize GHG emission reduction • Design development and investment plans • Identify conditions necessary for a supportive, enabling environment for implementation • MULTI-SECTOR FOCUS • Power Generation • Large-Scale Energy Intensive Industry • On-Road Transport • Household Electricity Use • Nonresidential Energy Use
EFFECT – Transport model • Forecast change in • Freight and passenger transport needs • On-road vehicle fleet size and composition • Fuel/energy consumption and GHG emissions Why is it important? • Both passenger and freight are fastest growing GHG sectors in most developing countries • Increasing urbanization • Increasing household income • Both are often underestimated • In Mexico City, on-road transport almost half of total combustion energy
Transport Model • Current Usage: • Initially developed for the India Low Carbon Growth Study • Has been used in 9 city-level studies: Bangkok, Beijing, Chengdu, Guangzhou, Hanoi, Ho Chi Minh City, Jakarta, Manila, Ulaanbaatar • Used in Brazil Low Carbon Growth Study and Nigeria • Basis for CTF measurement methodology
Transport Model • Purpose Calculate and forecast Vehicle Ownership and Use
Transport Model • Purpose Disaggregate vehicle ownership and use Calculate and forecast • Fuel consumption Fossil and Total • GHG emissions Ultimate CO2 • Local emissions CO, VOC, NOx, PM
Five step process • Project ownership and usage of vehicles • Disaggregate vehicle population by type, technology, age, and fuel and project sales of new vehicles • Compute the fuel consumption and emissions factors for each specific type and technology of vehicle using the COPERT 4 model calibrated to local conditions.. • Project improvements in vehicle efficiency using a marginal abatement cost (MAC) curve for distinct types and sub-types of vehicle. • Compute the energy consumption and emissions for each type and sub-type of vehicle and for the active vehicle population.
Compute Emissions • Key Variables • Output from transport model or data on vehicle • ownership and use • Historic sales data • Forecast sales mix • Fuel consumption data for calibration • Energy efficiency assumptions and adoption timeline