In this work, an economic feasibility study has been conducted on solar PV and wind turbine
in Morocco using Monte Carlo simulation. By using historical measured data of solar irradiance and
wind speed on different cities across Morocco and taking into account other factors that may affect the
results on the economic profitability of the previously mentioned renewable plants, many different
outcomes were computed to help interested parties take decisions on this type of activity. First, a
review on the regulatory framework of the country has been done. Later, using solar irradiance and
wind speed data of each city, probability distribution functions were assigned on each city, which
allowed to consider the meteorological uncertainties in the calculations. The tools used to discuss the
results are the net present value (NPV) and the levelized cost of electricity (LCOE). A comparison has
been done between the solar PV with different tracking configurations and the onshore wind turbine
at different levels of power capacity. The results reveal that regions close to the desert are more suitable
to implement solar PV related projects, and the southern coastal regions are better befitting for wind
turbines. This work is an academic research and results are computed using theoretical methods
