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.
During a new demo project at CITIES – Centre for IT-Intelligent Energy Systems – Danish Energy and DTU Compute will make a simple analysis of the impact of energy communities on the national grid. — Energy Communities is a new player on the energy market that can help incorporate larger amounts of sustained energy in …
The solution for analysis of heating data is an analytical tool for treating and integrating of big data collected from smart meters, socio-economic data, energy informations and building models. This treatment tool enables to quantify and characterize energy consumption of entire districts and cities.
Sænkning af fremløbstemperaturen med 10 grader, markant reducering af varmetab samt fastholdelse af varmeprisen. Svebølle-Viskinge Fjernvarmeselskab udnytter de digitale muligheder. I magasinet Dansk Fjernvarme kan du læse mere om gevinsterne ved datadreven styring og visualisering i Svebølle-Viskinge Fjernvarmeselskab (m bl.a. Svend Müller). Her samarbejder DTU – Technical University of Denmark (m Henrik Madsen, Per Sieverts …
