Transport
- Passenger/freight
- By mode
- By type of vehicles
- By type of energy/motor for road vehicles
EnerMED
The turnkey energy demand model
- Latest version of the appraised MEDEE model family
- Disaggregation by end uses and industrial branches
- Enerdata’s input data and assumptions, or yours
EnerMED is a bottom-up demand forecasting model enabling users to assess the impact of energy efficiency policies at country-level, and to drill-down to branches and end-uses.
EnerMED is a turnkey model, easy to use by any users, be it with your database or with other ones.
MEDEE models have been and are being used in more than 60 countries worldwide, both by public authorities and governments or industries.
Key Features
- Disaggregation level:
- Transport: 4 main modes (road, rail, air, waterway); distinction passengers/goods; as much as 7 types of vehicles with 9 possibilities of energies/motors.
- Industry: as much as 10 sub-sectors + 10 energy intensive products with 3 processes each
- Residential: as much as 10 x 10 energy label and building categories, 6 end-uses, 10 appliances
- Services: as much as 10 sub-sectors, 6 end-uses, 10 appliances
- Agriculture
- EnerMED includes the following functionalities:
- Simulation of energy demand by type and end-use according to various energy efficiency scenarios
- Calculation of future energy demand and related CO2, and GHG emissions
- Calculation of energy indicators (sectoral energy intensities, unit consumption, etc.)
- The main assets of EnerMED are:
- Flexible structure and disaggregation level, selected by users to best fit study objectives
- Adapted modelling to each category or end-use, consistent with relevant drivers
- Supported by a highly efficient and user-friendly software
- GHG emissions are delivered in a format close to the UNFCCC format
- Delivery
- The turnkey solution is Country Energy Demand Forecast, a user-friendly online service embedding EnerMED model, 2 proven scenarios, and the detailed database.
- Our experts can perform custom studies or scenarios adapted to your requirements, relying on EnerMED.
- We can deliver the full turnkey model, together with a training for your team for an optimal use of EnerMED.
Methodology
MEDEE models have been used to produce reference demand forecasts showing the impact on energy demand of current energy and GHG policies and evaluate the change induced by energy efficiency and GHG measures.
EnerMED is a bottom-up model for long-term energy demand, and GHG forecasts at national and regional level. It analyses energy demand at a detailed level, by subsector and end-use / appliances / types of vehicles.
The user can configure the energy consumption structure to adapt its equations to the available data and to the national context.
Then EnerMED simulates the energy demand in detail. For each end-use, a useful energy demand is calculated. The market share and efficiency of each technology are modelled to obtain the final energy consumption and GHG emissions.
It enables to evaluate the effect of several drivers on energy demand for each end-use:
- Efficiency and sufficiency policies
- Technological development
- Shifting of fuel or technology
Example: energy demand calculation for space heating
Accurate model: output drilling down to end uses
Energy demand
Agriculture
- Several energies
- Self-consumption of biogas produced locally
References
- Tunisian National Agency for Energy Management (ANME), United Nations Development Programme (UNDP): Study based on analysis, forecasts, and modelling to develop a new trajectory for greenhouse gas (GHG) emissions in the energy sector for Tunisia by 2030 and 2050. The study also includes a section on capacity building for Tunisian actors on methodological aspects related to energy and GHG modelling: Simulation of GHG emissions in the energy sector in Tunisia by 2050
- Our service Country Energy Demand Forecasts has been updated using the EnerMED model.
- EnerMED is replacing MedPro as the latest version of the MEDEE models used under different versions since the mid-70’s.