# Energy Consumption and Efficiency

Argonne maintains a wide-ranging science and technology portfolio that seeks to address complex challenges in interdisciplinary and innovative ways. Below is a list of all articles, highlights, profiles, projects, and organizations related specifically to energy consumption and efficiency.

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• ### Argonne, Progress Rail, test low-carbon fuels on the path to decarbonizing the rail industry

Argonne scientists will test bio- and renewable diesel fuel on a locomotive combustion test engine.
• ### Argonne drops data on the question of efficient drone use for e-commerce deliveries

Are drones really energy efficient? That depends on the average wind speed. An Argonne study compares drone energy usage to diesel trucks and electric vehicles and aims to help industry determine if they could save money with drone delivery.

• ### 5 ways Argonne is driving auto innovation

Technology brings zero-carbon electric vehicles closer to mainstream adoption.
• ### Three Argonne researchers inducted into AAAS

Mitchell, Taylor and Utschig will be fellows within the notable organization.
• ### Compass: Transportation Energy Analysis Model

Capturing interactions between consumer choices and stakeholders decisions, helping decision-makers to make investments more efficiently, position their services and fleets, and better serve their customers.
• ### Argonne and Oak Ridge national laboratories collaborate with Wabtec on hydrogen-powered trains to decarbonize rail industry

Hydrogen-powered trains on track to decarbonize the rail industry.
• ### Inflation Reduction Act funding accelerates next-generation supercomputing, energy efficiency, scientific discovery at Argonne

Lab to receive $60M as part of historic$1.5 billion investment across Department of Energy laboratories.
• ### Science beyond Siri: A team of educators and computer scientists take on AI

Soon enough, AI competency will be an essential workforce skill. A group of computer scientists and learning science experts are considering what a foundational introduction to AI might look like for middle school and high school students.