Within the global transport sector, identifying relevant data by analysing consumption patterns is just as crucial as addressing technological and energy-related challenges. This approach enhances efficiency in transportation systems and supports the application of decarbonisation strategies.
Moreover, to develop efficient business planning and impactful strategies for it, it is essential to have a clear understanding of key market dynamics, usage trends, future demand drivers & future prices. This includes analysing the evolution of transportation consumption patterns, such as kilometres per passenger, transport modes, and vehicle occupancy, to identify opportunities for emissions reduction as well as energy efficiency in transportation.
Different organisations: Different needs
For automotive industry: Anticipating future energy prices and ever-changing policies is imperative to understand evolving consumer demand, usage and market trends.
For Government Bodies: Address the significant role of transportation in CO2 emissions, with oil still dominating 90% of the market share. Decarbonisation strategies are essential to meet climate goals.
A strategic, data-driven approach will help your company gain insights, optimise its resources, reduce environmental impact, ensure GHG compliance, and drive sustainable growth in a competitive market.
Car sales per EU country in 2023
Sources: Enerdata - Odyssee, ACEA
Your challenges, our expertise
Shape your GHG mitigation policies, set targets, and evaluate future CO2 emission costs and volumes:
- Leverage on Enerdata’s long-term Marginal Abatement Cost Curves (MACCs) produced from our POLES model
- Reduce your future costs thanks to EU-ETS prices: detailed, reliable and annual Carbon Price Forecasts up to 2050 based on our POLES model
- Analyse CO2 emissions (direct & Indirect) data and forecasts, by sector
- Benchmark the transport transition pathways at international level
Adapt your offer to the reality of the demand, based on the most comprehensive and the latest data from the field:
- Watch the needs, trends and forecasts, thanks to our consistent historical datasets linking activities variables, unit consumption of technologies and energy consumption, of:
- passengers and goods (pkm, tkm, km/pers/year, tons of goods / year)
- filling rates and occupancy (really linked to optimisation, logistics, potential of carpooling, feasibility conditions)
- Analyse the past and future evolution of transport decarbonisation, and their associated emissions' reduction, through:
- energy efficiency improvement (engines improvements, electrification, modal shifts toward more efficient solutions)
- adoption of sufficiency measures on the demand side (weight of vehicles, speeds limits)
- new fuels deployment: biofuels, e-fuels and electricity
- Follow easily the European policies and measures
- Monitor energy prices as well as the annual projections of wholesale prices up to 2050
- Leverage robust forecasts on oil, gas and electricity consumption specific to the transport sector (includes Electric Vehicles) thanks to EnerMED model
- EnerMED, the latest version of the MEDEE models used since the 1970s, has been applied in over 60 countries to forecast energy demand, assess the impact of energy and GHG policies, and support studies such as NDC updates, national development plans, and efficiency policy evaluations.
- POLES- Enerdata is a globally recognised, dynamic simulation model of the global energy sector until 2050, capturing energy demand, supply, GHG emissions, and the impacts of energy and climate policies with endogenous pricing and globally coherent forecasts.
- Tailored models to your needs. Example:
- EVEREST: developed for ADEME (French Agency for Ecological Transition) Futures in Transition 2050: national passengers and goods model
- NOTOS: developed for the South of France to get an adapted passengers and goods model to the region
Trusted by our clients
Renault – Discrepancies arising due to the usage of different price forecasts by the different teams, for their market studies were eliminated when they started using Enerdata’s robust price forecasts to define their group strategy. By adopting a standardised forecasted data set, all teams could align their insights and objectives.
SNCF – Enerdata, in partnership with Compass Lexecon and Solagro, developed long-term energy price projections for SNCF's decarbonisation strategy, covering global oil and gas, European power, French bioenergy, and end-user price components
Region-SUD – To prioritise measures for reducing transport-related GHG emissions by 2050, Région SUD collaborated with Enerdata to develop Abatement Cost (AC) curves using three decarbonisation scenarios, assessing CO2 reductions and economic impacts. Enerdata provided the NOTOS tool, enabling autonomous scenario generation, cost-benefit analysis, and public policy decision-making, supported by expert-led training and a scientifically validated methodology.
ADEME – ADEME commissioned Enerdata to develop EVEREST2, an improved model for the transport sector, supporting more details than EVEREST, like breaking down car traffic by distance and adding new e-fuels to the air and maritime transports. Enerdata leveraged their know-how to fill the model with data and make sure it matched official statistics. This model will enable ADEME to explore five pathways to reduce emissions from transport by 2060.
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