Making clean energy investments more successful
New research emphasizes the importance of well-validated models and forecasting tools in evaluating choices for investments in clean energy technologies and policies by governments and
Towards robust and scalable dispatch modeling of long-duration
Here two test power systems with high shares of both solar photovoltaics- and wind (70 %–90 % annual variable renewable energy shares) are used to assess long-duration energy storage
Giving buildings an “MRI” to make them more energy-efficient and
Founded by a team from MIT, Lamarr.AI utilizes drones, thermal imaging, and AI to identify energy waste and structural issues in buildings and recommend retrofits.
MIT Energy Initiative conference spotlights research
At the MIT Energy Initiative''s Annual Research Conference, industry leaders agreed collaboration is key to advancing critical technologies amidst a changing energy landscape.
Understanding ammonia energy''s tradeoffs around the world
MIT Energy Initiative researchers calculated the economic and environmental impact of future ammonia energy production and trade pathways.
New facility to accelerate materials solutions for fusion energy
The new Schmidt Laboratory for Materials in Nuclear Technologies (LMNT) at the MIT Plasma Science and Fusion Center accelerates fusion materials testing using cyclotron proton beam
Next-generation geothermal energy: Promise, progress, and challenges
Geothermal energy, a clean, continuous energy source accessible in many locations, has been slow to catch on. Nearly 2,000 years ago, the Romans made extensive use of geothermal
A new approach could fractionate crude oil using much less energy
MIT engineers developed a membrane that filters the components of crude oil by their molecular size, an advance that could dramatically reduce the amount of energy needed for crude oil
Unified dispatch of grid-connected and islanded microgrids
Grid-connected dispatch algorithms control use of batteries, fossil fuel generators, and solar PV to reduce utility costs by lowering energy charges, lowering demand charges, and generating revenue
How artificial intelligence can help achieve a clean energy future
A look at how AI can be used to help support the clean energy transition by helping to manage power grid operations, plan infrastructure investments, guide the development of novel
MIT engineers create an energy-storing supercapacitor from ancient
MIT engineers created a carbon-cement supercapacitor that can store large amounts of energy. Made of just cement, water, and carbon black, the device could form the basis for
Unifying Telemetry in Battery Energy Storage Systems
Unified telemetry solves data silos by bringing operational signals into a shared, time-aligned dataset. As BESS deployments scale, this capability will become foundational for operating
Explained: Generative AI''s environmental impact
MIT News explores the environmental and sustainability implications of generative AI technologies and applications.