WP3 of the project SolBio-Rev aims to develop optimised control and simulation tools to maximise the efficiency of the system. In this case, the system can integrate a smart control module that uses dynamic models (both of building and components) to predict the behaviour of the system and to maximize or minimize objectives expressed in terms of performance indicators. This deliverable presents the development of different rule-based strategies based on the operational modes of the SolBio-Rev generic system that are going to be implemented in a smart control environment. Furthermore, the algorithms of smart control are described including the optimization objectives and the models that will be used to develop an optimal control for the SolBio-Rev system.
SolBio-Rev - D3.2 Optimised system control and strategies (RE 49)
Valeria Palomba;Andrea Frazzica;
2021
Abstract
WP3 of the project SolBio-Rev aims to develop optimised control and simulation tools to maximise the efficiency of the system. In this case, the system can integrate a smart control module that uses dynamic models (both of building and components) to predict the behaviour of the system and to maximize or minimize objectives expressed in terms of performance indicators. This deliverable presents the development of different rule-based strategies based on the operational modes of the SolBio-Rev generic system that are going to be implemented in a smart control environment. Furthermore, the algorithms of smart control are described including the optimization objectives and the models that will be used to develop an optimal control for the SolBio-Rev system.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
