This paper discusses the role of models and simulations in the perspective of the real-time control of complex buildings. It describes the approach used in the model engineering of the SEAM4US EU research project, concerned with the optimal control of the Passeig De Graçia metro station systems in Barcelona. The paper introduces the model predictive control (MPC) architecture and the main features of the large Modelica station model, made of over 80000 variables. It then details the statistical model reduction methodology adopted either for mapping the large station model into a deployable sensor network, and for embedding the model into the main control loop
MODELS FOR THE REAL-TIME CONTROL OF SUBWAY STATIONS / Ansuini, Roberta; Vaccarini, Massimo; Giretti, Alberto; Ruffini, Sara. - STAMPA. - (2013), pp. 1793-1801.
MODELS FOR THE REAL-TIME CONTROL OF SUBWAY STATIONS
ANSUINI, ROBERTA;VACCARINI, Massimo;GIRETTI, ALBERTO;RUFFINI, Sara
2013-01-01
Abstract
This paper discusses the role of models and simulations in the perspective of the real-time control of complex buildings. It describes the approach used in the model engineering of the SEAM4US EU research project, concerned with the optimal control of the Passeig De Graçia metro station systems in Barcelona. The paper introduces the model predictive control (MPC) architecture and the main features of the large Modelica station model, made of over 80000 variables. It then details the statistical model reduction methodology adopted either for mapping the large station model into a deployable sensor network, and for embedding the model into the main control loopI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
