  This paper presents the findings about the impact of heat waves on a real
urban distribution system. A data-driven methodology is proposed to simulate
the portion of faults that can be associated to normal conditions (and hence to
reliability) and the portion correlated to the heat wave occurrence. Based on
real data collected in the years 2012-2017, the fault rates associated to
reliability and resilience have been calculated and then used to feed a Monte
Carlo simulation aiming to manage the uncertainty in the fault occurrence.
Finally, based on the Italian legislation, the benefits deriving by the
substitution of the faulted portion of the system have been calculated.
