Articolo in rivista, 2021, ENG, 10.1080/15567249.2021.1926598

A Data-driven approach to renewable energy source planning at regional level

Francesco Surmonte, Umberto Perna, Antonio Scala, Alessandro Rubino, Angelo Facchini

University of Bologna, Bologna, Italy; Italian Section, Society of Petroleum Engineers, Milan, Italy; Institute for Complex Systems Italian National Research Council, Rome, Italy; Ionian Department of Law, Economics and Environment, University of Bari Aldo Moro, Taranto, Italy; IMT School for Advanced Studies Lucca, Lucca, Italy

A correlation analysis based on Markowitz Portfolio Theory and data from meteorological station are used to develop a decision-making tool for the optimal spatial installation of renewable energy sources from Wind turbines and PV panels. A case study involving power generation plants and weather stations in the region of Tuscany in Italy is developed. The results show that temporal correlations of solar and wind generation profiles are characterized by correlation and anticorrelation. This feature is used for supporting deci­sion-making on investments in renewable energy at the territorial level.

Energy sources. Part B, Economics, planning, and policy , pp. 1–12

Keywords

Renewable energy sources, regional planning, Markowitz portfolio

CNR authors

Scala Antonio

CNR institutes

ISC – Istituto dei sistemi complessi