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The uncertain and time-variant nature of renewable energy results in the need to deal with peaks in the production of energy. One approach is to achieve a load shift and thereby help balancing the grid by using thermally Activated Building Systems (TABS). Control systems currently in place do not exploit the full potential of TABS. This paper reviews how Model Predictive Control can possibly reduce the fluctuations of the demand and supply of (renewable) energy as it enables the TABS to react to the dynamics of weather and its impact on the grid at any time.
We herein present a topology design method based on local optimality criteria which has been implemented in an open source Navier-Stokes solver for turbulent flows. Our method aims for the fast generation of geometry proposals in the early conceptual phase. To the best of our knowledge, this is the first local criteria approach utilizing a wall function turbulence model in order to consider turbulent flows. In order to allow for the growth as well as the shrinkage, or even the formation or disappearance of structural features, a topological approach is chosen. By introducing a volume fraction parameter, we distinguish between fluid and solid properties in each control volume. The fluid-solid interface is represented by an immersed boundary method using a piecewise linear surface reconstruction.
This paper describes the new Sweaty II humanoid adult size robot trying to qualify for the RoboCup 2016 adult size humanoid competition. Based on experiences during RoboCup 2014, the Sweaty robot has been completely redesigned to a new robot Sweaty II. A major change is the use of linear actuators for the legs. Another characteristic is its indirect actuation by means of rods. This allows a variable transmission ratio depending on the angle of a joint.