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Big Batteries on Wheels Can Deliver Zero-Emissions Rail While Securing the Grid

The recent dramatic decline in battery prices has created a new possibility for electrification of freight trains. Researchers from Lawrence Berkeley National Laboratory, collaborating with UCLA and UC Berkeley researchers, make the case that the U.S. can retrofit diesel-electric trains with batteries in a way that is cost-competitive with diesel. Doing so would avoid up to 1,000 premature deaths and save the U.S. freight rail sector $94 billion over 20 years from reduced air pollution and carbon dioxide emissions.

Hydrogen Offers Promising Future for Long-Haul Trucking Industry

The Million-Mile Fuel Cell Truck Consortium (M2FCT) team outlined the current and future prospects and challenges of hydrogen fuel cells for heavy-duty vehicles, including trucks, buses, trains, and marine applications, in a recent Nature Energy study.

Commercial Truck Electrification is Within Reach

When it comes to electric vehicles, particularly for heavy-duty trucks, the limitations of battery technology are often seen as the main barrier to widespread adoption. However, a new analysis concludes that it’s the lack of appropriate policies around adoption incentives, charging infrastructure, and electricity pricing that prevents widespread electrification of commercial trucking fleets.

Battery Breakthrough Gives Boost to Electric Flight and Long-Range Electric Cars

Researchers at Berkeley Lab, in collaboration with Carnegie Mellon University, have developed a new battery material that could enable long-range electric vehicles that can drive for hundreds of miles on a single charge, and eVTOL (electric vertical takeoff and landing) aircraft.

How We Choose: Applying ‘Decision Science’ to Transportation Behaviors

Can scientists understand human behavior enough to figure out what drives the choices you make? In fact, it’s called “decision science,” and it’s something that Anna Spurlock, a behavioral economist with Lawrence Berkeley National Laboratory, specializes in.

Machine Learning to Help Optimize Traffic and Reduce Pollution

Applying artificial intelligence to self-driving cars to smooth traffic, reduce fuel consumption, and improve air quality predictions may sound like the stuff of science fiction, but researchers at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) have launched two research projects to do just that.