News

Is MITOS Article (field_is_mitos_article)
Big Elm Solar in Bell County, Texas, a 200 MW renewable energy facility, is now operational.
Featured Story
Consortium led by MIT, Harvard University, and Mass General Brigham spurs development of 408 MW of renewable energy

Projects in Texas and North Dakota support clean energy transition as MIT moves closer to 2026 net-zero goal.

“I really do believe nuclear energy is going to be a leading carbon-free energy. It’s very important for our collective futures,” says Youyeon Choi, a doctoral student in MIT's Department of Nuclear Science and Engineering.
How to make small modular reactors more cost-effective

Youyeon Choi is leaning on her work experience in South Korea — a leading nation in nuclear energy — and her love of multi-physics modeling as she pursues her doctoral research.

There are now over 5,000 data centers in the United States, like this one in northern Virginia, and new ones are being built every day.
The multifaceted challenge of powering AI

Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the transition to clean energy.

MIT engineers developed a way to make clean ammonia, without fossil-fuel-powered chemical plants, using the Earth as a geochemical reactor, producing ammonia underground.
For clean ammonia, MIT engineers propose going underground

Using the Earth itself as a chemical reactor could reduce the need for fossil-fuel-powered chemical plants.

In a recent study, researchers assessed sustainable aviation fuel (SAF) feedstock availability, the costs of corresponding SAF pathways, and how SAF deployment would likely impact fuel use, prices, emissions, and aviation demand in six countries.
Toward sustainable decarbonization of aviation in Latin America

Special report describes targets for advancing technologically feasible and economically viable strategies.

MIT News explores the environmental and sustainability implications of generative AI technologies and applications.
Explained: Generative AI’s environmental impact

Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.

Giving people better data about their energy use, plus some coaching, can help them substantially reduce their consumption and costs, according to a study by MIT researchers in Amsterdam.
Study shows how households can cut energy costs

An experiment in Amsterdam suggests providing better information to people can help move them out of “energy poverty.”

Vijay Gadepally, a senior staff member in the Lincoln Laboratory Supercomputing Center, discusses steps the research community can take to help mitigate the environmental impact of generative AI.
Q&A: The climate impact of generative AI

As the use of generative AI continues to grow, Lincoln Laboratory's Vijay Gadepally describes what researchers and consumers can do to help mitigate its environmental impact.

“I would love to see a world where we could eliminate thermal separations, and where heat is no longer a problem in creating the things that we need and producing the energy that we need,” Zachary Smith says.
Designing tiny filters to solve big problems

By developing new materials for separating a mixture’s components, Zachary Smith hopes to reduce costs and environmental impact across many U.S. industries.

Before coming to MIT, 2024 MAD Design Fellow Zane Schemmer, who grew up in the mountains of Utah, earned a BS and MS in civil and environmental engineering from the University of California at Berkeley, where his graduate work focused on seismic design.
Minimizing the carbon footprint of bridges and other structures

MAD Design Fellow Zane Schemmer writes algorithms that optimize overall function, minimize carbon footprint, and produce a manufacturable design.