Theano Iliopoulou

The uncertainty of atmospheric processes in planning a hybrid renewable energy system for a non-connected island

Vasiliki Daniil, George Pouliasis, Eleni Zacharopoulou, Evangelos Demetriou, Georgia Manou, Maria Chalakatevaki, Iliana Parara, Xristina Georganta, Paraskevi Stamou, Sophia Karali, Evanthis Hadjimitsis, Giannis Koudouris, Evangelos Moschos, Dimitrios Roussis, Konstantinos Papoulakos, Aristotelis Koskinas, Giorgos Pollakis, Panagiota Gournari, Katerina Sakellari, Yiannis Moustakis, and the Stochastics in Energy Resources Management (NTUA)* Team

Stochastic investigation of precipitation process for climatic variability identification

The precipitation process is important not only to hydrometeorology but also to renewable energy resources management. We use a dataset consisting of daily and hourly records around the globe to identify statistical variability with emphasis on the last period. Specifically, we investigate the occurrence of mean, maximum and minimum values and we estimate statistical properties such as marginal probability distribution function and the type of decay of the climacogram (i.e. mean process variance vs. scale).