Video detailing the Cassting project’s floor heating case study involving Seluxit and Aalborg University, Denmark.
The CASSTING project’s uses game theory to analyse and design collective adaptive systems. They have developed a demonstrator based on a floor heating case study to simulate the control of hardware devices, with up to a 60% improvement between the actual and desired temperatures.
Daniel Lux from Danish SME Seluxit approached Prof Kim Larsen and colleagues from Aalborg University to help improve his home under-floor heating system whereby each of the eleven rooms is controlled separately. The game theory approach sees each room as a “player” and tries to find a strategy suitable for each room individually. This may or may not involve conflict between rooms, since the collective adaptive system has to take account of outside temperature, open-closed doors and flow of heat between rooms, loss of heat through windows, plus the use and preferences for these rooms. Using their UPPAAL Stratego tool for synthesis and optimal synthesis, it was possible to demonstrate continual computation and application of dynamic strategies with positive outcomes.
Kim Larsen believes that new functionality for personalised control software is now possible, “It is easy to personalize a product….simply by changing the objectives”. Rather than the considerable effort required to develop dedicated control software, objectives can be changed and the synthesis algorithm will adapt the strategy, allowing the new objectives to be satisfied.