Flexible power consumption requires fully automated devices
Professor Henrik Madsen from DTU Compute believes that researchers and practitioners under the CITIES-project have broken the code for how electricity companies and other actors can enable flexible consumption. In an interview with ienergi.dk, published in July 2018, Madsen talks about automation, artificial intelligence, software and big data in the cloud. In Intelligent Energy, these research results are translated into in the process of designing future net tariffs, so they reward flexible customers.
Henrik Madsen has been interviewed by Digital Hub Denmark about the research in CITIES Innovation Center, FED, Smart Cities Accelerator and other CITIES related projects, working with energy optimization, flexibility etc. as ways to green transition. Digital Hub Denmark writes, that researchers at DTU Compute are investigating ways of managing the energy systems of the future based on green, fluctuating sources of energy. …
Electricity prices and wind power production have a large impact on the production of district heating in Denmark. Researchers at DTU have made a smart-decision making tool; helping district-heating suppliers to choose the right kind of heat production technology at the right time and buy or sell electricity at the right prices.
Everyone talks about AI and machine learning, but a demo project with a water tower shows that a model with stochastic differential equations can describe energy flexibility surprisingly well with just a few intuitive parameters. If the CO2 emission is to be reduced, the proportion of renewable energy sources must be significantly increased. If at …
