Non-linear Predictive Control for the Energy Management of an Air Conditioning Centralized System in a Hotel Installation

Abstract

In this work we show the results obtained from the tuning of a non-linear model based predictive controller, for the energy management of an air conditioning centralized system in a hotel installation. With the aim of reaching economic efficiency, the controller design employs a prediction model of the energy consumption behaviour of the rooms based on the historic data of the hotel. Prediction of the thermal load of the rooms is obtained using the Radiant Time Series (RTS) method. The application was developed in Matlab® programming language.

Keywords

• Control predictivo basado en modelo
• método RTS
• carga térmica
• consumo eléctrico
• hotel