In this paper, we estimate expected monthly averages of daily energy yields with methods which use solar maps published by weather services dedicated to solar energy. We present a comparison of monthly averages of PV daily yields calculated with our own models as well as with values obtained from international databases. In terms of methodology, our paper refers always to the results of an hour-by-hour simulation software. Whatever picture we take, we find that linear "simple models" tend always to overestimate yields and we explain why. We propose a non-linear model which seems to be the best compromise for our future PV yields database.
AbstractImproving grid-connected PV dc yields obtained with daily models.
Amin Bennouna*, Noura Aarich, Noureddine Erraissi, Mohamed Akhsassi and Mustapha RaoufiDepartment of Physics, Faculty of Science Semlalia Marrakech, Cadi Ayyad University, Morocco
Accepted on July 20, 2017Keywords: Photovoltaic grid-connected systems; photovoltaic yields models; monthly average of daily dc yields; yearly dc yields; comparison of photovoltaic yields; Morocco.