A Prediction Error Method to set up a black-box model of a whole building-plant system based on experimental data series is proposed. This model is used to evaluate the dynamic heating power of the generator as a function of the external air temperature. In spite of the model having been built from of a limited monitored period, it is suitable for simulating the thermal performance of the system over longer periods. This allows the best power rating of the heat generator to be found; an over-dimensioned generator operates with a low load factor and a low efficiency. The proposed method can be applied very well for the substitution of heat-generators in existing plants.

A stochastic dynamic method for the evaluation of the heating power input of a real building-plant system

Bondi, P.;Stefanizzi, P.
1997-01-01

Abstract

A Prediction Error Method to set up a black-box model of a whole building-plant system based on experimental data series is proposed. This model is used to evaluate the dynamic heating power of the generator as a function of the external air temperature. In spite of the model having been built from of a limited monitored period, it is suitable for simulating the thermal performance of the system over longer periods. This allows the best power rating of the heat generator to be found; an over-dimensioned generator operates with a low load factor and a low efficiency. The proposed method can be applied very well for the substitution of heat-generators in existing plants.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/2503
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