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.; Cardinale, N.; Stefanizzi, P.. - In: ENERGY AND BUILDINGS. - ISSN 0378-7788. - STAMPA. - 26:3(1997), pp. 327-330. [10.1016/S0378-7788(97)00014-5]
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
