Abstract

In recent years, the rapid growth of renewable energy sources (photovoltaic, biomass, geothermal, wind and hydroelectricity) constitutes a feasible solution for environmental problems created by the present production-consumption energy model. Photovoltaic (PV) is one of the most promising, renewable energy sources with great potential for development. Over the last decade, the diffusion of photovoltaic installations in Italy has recorded a considerable increase, displaying at the same time substantial regional dissimilarities. In this paper, we sustain the hypothesis that the installation of PV plants is first of all driven by the financial incentives granted. Using data for Italian provinces, derived under two different editions of the Energy Account, which represents the current Italian financing mechanism, we apply a statistical cluster detection method (the spatial elliptic scan statistics) to identify differences in the spatial distribution of PV plants, in terms of most concentration, throughout the Italian territory. The focus is on mapping the clusters and checking their spatial stability over time, when different subsidy schemes have been adopted. The evidence shows that in the latest detected clusters there are many Northern Italian provinces, with adverse climate conditions (low global irradiance level, low annual temperatures), which have rapidly taken advantage of incentives for solar energy installations.

Highlights

  • The present energy crisis, arising from the world’s dependence on fossil fuels, has highlighted the need to search for renewable and non polluting sources of energy

  • The analysis proposed in this paper was designed to provide a statistical examination of regional variability in diffusion patterns of PV plants in Italy

  • This study considers the spatial locations of photovoltaic plants in 110 Italian provinces, distinguished according to their power

Read more

Summary

Introduction

The present energy crisis, arising from the world’s dependence on fossil fuels, has highlighted the need to search for renewable and non polluting sources of energy. Locating optimal sites for the installation of photovoltaic power systems, requires the assessment of some discrimination factors (such as solar irradiance, local climate, topography, proximity to existing roads, grid-connection, financial incentives). In particular the feed-in tariff, which are fixed prices which an energy producer is guaranteed to receive per unit of energy produced, are become a worldwide tool to support the development of renewable technologies and increase the installed capacity (see among others, [4,5,6]). To comply with the aim of work, the elliptic scan statistics is employed as an appropriate method for detecting and evaluating spatial clusters This technique is advocated to attribute statistical significance to results presented in simple cartographic analysis displaying raw data.

Regional Distribution of PV Plants in Italy
Italian PV Incentive Regimes
Statistical Methodology
C C az Ez
Application to Photovoltaic Data
Findings
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call