That approach was already used to investigate a multitude of different population and water demand
scenarios and the impact on the estimated profit and payback time of multiple possible SHPS [6]. Further, with that
approach, the SHPS device size was optimized in order to maximize profit and to avoid any impacts on the technical
performance of the water distribution network. In [6] it was found that profit analysis of small hydro power systems
based on an average day leads to an overestimation of profit. Also, for average-year simulations there is an
overestimation determined for the investigated case study as compared to a 10 years simulation with an hourly time
step in Epanet2 (programmers’ toolkit is utilized with Matlab). Therefore, with the approach, the usual procedure for
designing SHPS was enhanced. Further, in that study it was quantified, how demographic change scenarios impact
the achievable yearly profits.