Explained: Generative AI''s environmental impact
MIT News explores the environmental and sustainability implications of generative AI technologies and applications.
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Energy Storage System Data
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
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.
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
Best Practices in Energy Data Collection & Tracking
Local governments joining forces with local utilities to make it easier for building owners to get access to whole-building energy usage data for the purposes of benchmarking building energy performance.
Electrical Energy Storage Data Submission Guidelines, Version 3
Numerous entities, including EPRI, the U.S. Department of Energy, the North American Electric Reliability Corporation, and the Federal Energy Regulatory Commission, have pointed out the lack of
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.
What information does energy storage collect from
Energy storage systems collect a diverse array of customer data, primarily focusing on identification details, energy usage patterns, device
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
Electrical Energy Storage Data Submission Guidelines, Version 3
Field experience with deployed ESSs (predominantly Li-ion battery energy storage systems: battery energy storage systems ), has shown that entities that use ESS data can be categorized into
Energy Storage Equipment Data Collection Methods: A
Whether you''re an engineer chasing peak efficiency, a facility manager preventing blackouts, or just someone who hates frozen pizza during power outages, understanding these data collection
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
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.
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
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
Understanding What an ESS Energy Storage System
These systems enable data collection, analytics, and reporting, facilitating informed decision-making regarding energy usage and potential