Conference Agenda
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Renewable energy, equity and support schemes Location: Auditorium B: Frøystein Gjesdal Session Chair: Andrea Molocchi, RSE Ricerca sul sistema energetico | |
| Presentation 4 | |
A parametric evaluation of the landscape external costs of onshore wind and solar power plants in Italy 1: RSE Ricerca sul sistema energetico, Italy; 2: Università degli Studi di Padova, Dipartimento Territorio e Sistemi Agro-forestali (TESAF), Italy This article develops and applies to two case studies a methodology for the parametric evaluation of the landscape external costs of renewable energy installations. The main novelty of the methodology is the estimation of the economic value of landscape services in Italy as a function of the main distinctive attributes of the landscape, allowing its application to a variety of national landscape contexts. The monetary valuation of landscape services was estimated by means of a discrete choice experiment (DCE) based on a survey administered to a representative sample (N = 2352) of the Italian population. The estimates obtained with the DCE made it possible to estimate a set of 50 unit values (euro per hectare) of the Italian population's willingness to pay for landscape services, appropriately differentiated by qualitative classes of three landscape attributes: naturalistic quality, richness of cultural heritage and presence of historic rural areas. A distinctive feature of this study is the connection with the available national landscape cartography allowing to apply the monetary values with the spatial analysis of the visual intrusion of the renewable energy plants with a GIS application. The methodology is applied to two case studies located in Central Italy: an onshore wind farm and a utility-scale photovoltaic plant. Considering the different landscape contexts, the estimated external landscape cost of the photovoltaic plant analyzed was considerably lower than that of the wind farm, both in absolute terms (39,000 euro/year against 232,000) and in relation to the energy annually produced (0.41 euro/MWh against 1.34). In the context of energy planning, the proposed methodology can be used to identify the most suitable areas for the location of wind and solar power plants with an approach consistent with welfare economics (minimisation of social landscape costs). | |
