Jacopo Roati
Development and evaluation of a RC network grey-box model for an MPC system of an office building.
Rel. Andrea Lanzini, Francesco Demetrio Minuto, Daniele Salvatore Schiera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Energetica E Nucleare, 2020
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Abstract
Energy used for building thermoregulation plays an important role in the whole energy consumption in developed countries. Model predictive control is an innovative tool utilized to optimize the energy consumption and consequently to reduce the production of greenhouse gases. Model Predictive Control systems exploit a model representing the controlled system in order to simulate it and use the output to optimize the control strategy. Cause the wide variety of building stock there is not a common methodology for modelling buildings and hence the modelling task it is easily the most time demanding in all the process of designing a Model Predictive Control system.
The aim of this thesis is to develop and evaluate RC network models of an office building and investigate in some implementation of the models
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