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Energy Efficiency 2025 Transport
How and where is energy used? Total final consumption in 2024 was over 450 EJ and has grown by around 25 EJ since 2019. Transport accounts for around 30% of global energy demand and have contributed around 10% of the growth in total demand since 2019. Road transport accounts for nearly 90% of total domestic energy demand. The remaining 10% is split between domestic aviation, domestic shipping and rail.In advanced economies, passenger cars dominate road transport demand, accounting for around 65% of the transport energy use. Trucks make up most of the remainder. Buses play a minor role in energy demand…
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Breakthrough Agenda Report 2026 Road transport
Road transport
- Executive summary
- Hydrogen
- Road transport
- Steel
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+ 3 pages
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Multiple Benefits of Energy Efficiency
As energy efficiency continues to gain attention as a key resource for economic and social development across all economies, understanding its real value is increasingly important. The multiple benefits approach seeks to expand the perspective of energy efficiency beyond the traditional measure of energy savings by identifying and measuring its impacts in full bloom.
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Overview graphic: key technology trends for EVs
GEVO 2026 - Chapter 8 Electric vehicles (EVs) are increasingly at the centre of innovation in the automotive sector, bringing advances that extend far beyond developments in batteries and power electronics, thanks to several mutually reinforcing factors. Key technology trends are aligning in favour of EVs Battery electric vehicles (BEVs) are mechanically simpler than internal combustion engine vehicles (ICEVs) or hybrids, making them more compatible with digitalisation and automation. The relative simplicity of electric drivetrains enables shorter development cycles for new vehicles, allowing emerging technologies to reach BEVs sooner than vehicles with other powertrains.While the transition from mechanical to software…
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Best Practices and Insights to Expand Clean Energy Access and Adoption
This report was commissioned by the European Commission to serve as a technical repository of analysis and evidence-based practices in support of the Campaign on Sustainable Lifestyles, Fairness and Access to Clean Energy Technologies. The analysis presented draws on discussions and research shared during the Widening Participation in Clean Energy workshop held in Brussels, contributions presented at the official all-member meetings of the Campaign on Sustainable Lifestyles, and the IEA’s analytical work in areas such as people-centred clean energy transitions, affordability, energy efficiency and clean energy access.This work is organised into three chapters, each corresponding…
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Household Energy Affordability: Data and Indicators
A methodological framework for national monitoring Effective policy requires robust monitoring of household energy affordability, yet no unified methodological approach currently exists. The upcoming IEA report Household Energy Affordability: Data and Indicators, to be published in July, addresses this gap. This executive summary presents its key elements, including a robust methodological framework structured around dimensions, indicators and data to support policy discussions and national monitoring efforts.
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Autonomous vehicles
GEVO 2026 - Chapter 8 Progress in AI and computing power is disproportionately benefiting EVs, particularly for automated driving and integrated vehicle control. Sensors and chips integrate well with the stable, high-voltage power supply of EV batteries. Electric vehicles lead in automation and advanced driver assistance Driving automation is at the forefront of software developments for cars today. While fully autonomous cars (Level 5 automation)) are not currently in sight, electric driverless taxis (Level 4) are already operating commercially in more than 20 cities worldwide. Moreover, automated driving systems are not limited to self-driving cars – they are also rapidly gaining…
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Recovery, transformation and resilience plan / Urban and rural agenda (I) / Component 1: Action plan for sustainable, safe and connected mobility in urban and metropolitan areas
… private charging points, purchase of electric vehicles and fuel cells, and the promotion of innovative projects related to electric mobility, charging and green hydrogen.- Actions to improve the quality and reliability of public transport services. Overall, these measures are expected to reach EUR 6.536 billion by 2023.EUR 1 billion were awarded in 2022 to 170 municipalities and 2 supra-municipal entities.In April 2022, an additional budget of EUR 125 million was allocated from the Incentive Program for Efficient and Sustainable Mobility (MOVES III) to promote electric mobility in Catalonia, the Community of Madrid, Castilla y León and…
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Artificial intelligence and EVs
GEVO 2026 - Chapter 8 Progress in AI and computing power is disproportionately benefiting EVs, particularly for automated driving and integrated vehicle control. Sensors and chips integrate well with the stable, high-voltage power supply of EV batteries. At the same time, the benefits of AI and increased computing power are not exclusive to EVs. AI‑enabled energy management systems are increasingly used to optimise hybrid vehicles, and AI techniques are accelerating the design, testing and optimisation of all vehicles. Advances in AI underpin progress in autonomous vehicles Just two decades ago, state-of-the-art autonomous vehicles were confined to test…
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Affordability
Multiple benefits of Energy Efficiency 2025 Energy efficiency provides multiple benefits. This page explores affordability. Why is energy efficiency important for affordability? Energy efficiency measures can reduce energy bills for households, decrease energy poverty, and make access to energy services more affordable. Key facts Energy efficiency measures can reduce average household energy bills in advanced economies by up to one-third. In emerging economies, they can also improve access to energy services. For many products, such as refrigerators, highly efficient models use less than half of the energy of inefficient models. A best-in-class model can save up to…
