A novel model for the evaluation of heat accounting systems reliability in residential buildings

In this paper, a statistical model to estimate and predict the on-field reliability of heat accounting systems is proposed. The developed model has been applied and validated in three different case studies (i.e. a two-family house, a small building, a large multiple building) showing a good agreement with experimental data. The uncertainty of indirect heat accounting systems in different operating conditions ranges from about 2.7% (i.e. in a large multiple building in optimal conditions) to about 11.7% (i.e. in a two family house in critical conditions). The developed model allows to assess the influence of installation conditions with particular reference to the number and type of radiators and their installation, also in respect with single apartments' peculiarities and usage. Therefore, the model can be adopted to design appropriate accounting systems in new buildings and to assess the system reliability in the existing ones.