Toward sustainable decarbonization of aviation in Latin America
Special report describes targets for advancing technologically feasible and economically viable strategies.
Special report describes targets for advancing technologically feasible and economically viable strategies.
Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the transition to clean energy.
Using the Earth itself as a chemical reactor could reduce the need for fossil-fuel-powered chemical plants.
Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.
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.
An experiment in Amsterdam suggests providing better information to people can help move them out of “energy poverty.”
At the MITEI Fall Colloquium, the administrator of the US Energy Information Administration explained why long-term energy models are not forecasting tools — and why they’re still vitally important.
Using the island as a model, researchers demonstrate the “DyMonDS” framework can improve resiliency to extreme weather and ease the integration of new resources.
Associate Professor Matteo Bucci’s research sheds new light on an ancient process, to improve the efficiency of heat transfer in many industrial systems.
Professor Jessika Trancik’s course helps students understand energy levers for addressing climate change at the macro and micro scales.
The company has announced that it will build the first grid-scale fusion power plant in Chesterfield County, Virginia.
MIT study confirms the climate impacts of hydrogen, recommends leak prevention be a priority as infrastructure for handling this clean-burning fuel is built.
Driven to solve hard problems, Associate Professor Zachary Hartwig is advancing a new approach to commercial fusion energy.
MIT engineers show how detailed mapping of weather conditions and energy demand can guide optimization for siting renewable energy installations.
Study shows how smart policies could address competing land-use needs.