The impact of weather data sources on building energy retrofit design: case study in heating-dominated climate of Italian backcountry

This study proposes a replicable approach for evaluating the impact of different weather data sources during the building refurbishment. Starting from a deep energy diagnosis, the numerical model is calibrated by using the weather data and the energy billings of the same year. Then, the performance gap is evaluated due to the adoption of conventional or new weather files defined with data recently monitored in areas with different levels of urbanization. The final step is a sensitivity analysis on the energy, environmental and economic indexes for the refurbishment interventions. The proposed approach is applied to the student dormitory of the University of Molise, located in Campobasso, a city of south Italy with oceanic climate according to Koppen classification. The results highlight significant deviations on the estimated energy consumption as well as on the energetic and environmental indexes of the refurbishment design. Instead, the impact on the economic index is quite limited.