CITIES invites to Workshop / Webinar August 12, 2020, 9:00 AM – 12:00 PM CEST
In the quest for fossil-free cities and a fossil-free building sector, there is continued need to maximise energy efficiency of buildings and energy systems in cities. Even the limited energy use should to a maximum possible extent come from renewable sources, and the classical challenge of balancing demand and supply becomes an issue, which calls for flexible operation of all units.
Contemporary digital and data-driven methods are key to optimize the operation of buildings and district energy systems such that use of fossil fuels can be minimized without compromising on comfort and functionality of the built environment. The workshop will give an overview of potentials and state-of-the-art technologies in the field.
The solution software for Model Predictive Control (HPMPC) is a toolbox for High-Performance implementation of solvers for Model Predictive Control (MPC). The tool contains routines for fast solution of MPC and MHE (Moving Horizon Estimation) problems on embedded hardware. Further description and insights into the project is coming soon. The software is available on GitHub.
Last week DTU held the summer school TIME SERIES ANALYSIS – with a focus on modelling and forecasting in energy systems. 44 PhD students and postdocs mainly from universities in Europe have spent a week at DTU Compute to learn about smart energy systems and intelligent energy savings. The summer school was arranged by the …
One of CITIES’ demo projects is to develop an optimization method for the combined heat and power production planning in district heating systems and apply it to a real-world demo-case. The idea is to improve bids for selling and buying electricity in power markets- and in the end to automate the bidding. Assistant Professor Daniela Guericke, …
