
iScheduling
The intelligent decision-making process for hydro scheduling
The intelligent decision-making process for hydro scheduling
The SUPEERA project supports the implementation of the SET-Plan.
KoBas aims to develop predictive models for volume and price in the regulating power market, with associated outcomes. Predictions in these markets will create value, both on their own and in combination with existing decision support tools.
ECCSELERATE project focus on increasing use and ensuring the long-term sustainable operation of ECCSEL ERIC research infrastructure.
Challenges related to the electrification of maritime transport are now being mapped in a new SINTEF project with port authorities, grid companies, energy companies and ship-owners as partners. The aim is to reduce emissions by making the...
Natural gas is by far the cleanest fossil fuel. When used instead of oil, it produces 25% less CO2 emissions, 85% less NOx emissions and 99% less SOx and particle emissions. Its impact is even more significant when used instead of coal.
With increasing spread of digitalization, heat pumps will be designed to provide real time energy efficiency, flexible use of electricity, optimized load profile and an optimized compromise concerning comfort and operation costs. Heat pumps will...
Interdisciplinary Education and Research Platform in Cold-Chain of Fish: From Norway to Japan
Developing innovative design methodologies for low-emission hotel facilities on passenger ships.