Mohammadreza Rostam1, Ryozo Nagamune1, Vladimir Grebenyuk2
11:30 - 11:50 | Mon 19 Aug | Lau, 6-213 | MoA6.4
In this study, we investigate the practical impacts of parameters selection on the performance and computational cost of an economic model predictive controller for a domestic integrated solar thermal system. We also propose using an input-holding technique for the mentioned system, that decreases the elapsed time of solving optimization problems at each time-step, while sacrificing the efficiency of the control system to a small degree. It is observed that an optimally tuned controller can save up to 5% on energy bills while requiring a moderate amount of computational power.