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.
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
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
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
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
Scheduling and dimensioning of heterogeneous energy stores, with
This paper has studied the societal problems of scheduling and dimensioning such storage, with the scheduling objective of minimising total unserved energy over time, and the
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.
Optimal Scheduling of Energy Storage for Power System with
This work models and discusses design options based on the hybrid power system of grid and battery storage. The effects of installed capacity on renewable penetration (RP) and cost of electricity (COE)
Optimal coordinated generation scheduling considering
As a result, the optimal day-ahead coordinated generation scheduling is based on the 24-hour-ahead forecast of the renewable energy
Explained: Generative AI''s environmental impact
MIT News explores the environmental and sustainability implications of generative AI technologies and applications.
Coordinative Scheduling Method for Source–Load–Storage Integrated
This paper proposes a coordinated optimization method for source–load–storage integrated systems, utilizing for regulation energy-intensive industrial loads such as electrolytic
Optimized scheduling study of user side energy storage in cloud
In this study, the author introduced the concept of cloud energy storage and proposed a system architecture and operational model based on the deployment characteristics of user-side energy
Multi-Objective Optimal Scheduling for Energy Storage-Integrated
Subsequently, a multi-objective optimal scheduling framework incorporating energy storage is developed to simultaneously improve power supply capability and renewable energy absorption.
Study: Fusion energy could play a major role in the global response to
Investigators in the MIT Energy Initiative and the MIT Plasma Science and Fusion Center have found that — depending on its future cost and performance — fusion energy has the potential
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
Robust Scheduling Strategy for Renewable Energy Storage
This paper establishes a power scheduling model for the power supply side, and then optimizes the power scheduling using robust optimization strategies. Finally, to verify the feasibility of the algorithm,
A power smoothing scheduling strategy for PV-energy
To mitigate the output power fluctuations of photovoltaic (PV) systems and enhance the grid friendliness and operational stability of PV-energy storage
Two-stage electricity production scheduling with energy storage and
To mitigate this challenge, a two-stage electricity production scheduling is developed incorporating energy storage system (ESS) and dynamic emission modelling (DEM).