EGU2020-5484, updated on 12 Jun 2020
https://doi.org/10.5194/egusphere-egu2020-5484
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Aesthetic evaluation of wind turbines in stochastic setting: Case study of Tinos island, Greece

Eleni Manta1, Romanos Ioannidis2, Georgios-Fivos Sargentis3, and Andreas Efstratiadis4
Eleni Manta et al.
  • 1National Technical University of Athens, School of Civil Engineering, Greece
  • 2National Technical University of Athens, School of Civil Engineering, Greece
  • 3National Technical University of Athens, School of Civil Engineering, Greece
  • 4National Technical University of Athens, School of Civil Engineering, Greece

Wind turbines are large-scale engineering infrastructures that may cause significant social reactions, due to the anticipated aesthetic nuisance. On the other hand, aesthetics is a highly subjective issue, thus any attempt towards its quantification requires accounting for the uncertainty induced from subjectivity. In this work, taking as example the Aegean island of Tinos, Cyclades, Greece, we present a stochastic-based methodology for evaluating the feasibility of developing wind parks in terms of their aesthetic impacts. At first, a field analysis is been conducted along with photographic surveying, 3D representation and the opinion of the target population regarding the development of wind parks across the island. Subsequently, the landscape transformations that will be caused from the wind turbines are assessed according to the theory of aesthetics, which are depicted by using suitable spatial analysis tools in GIS environment. The 3D representation images along with the maps are finally assessed through stochastic analysis, in order to quantify the visual impacts to the landscape and the nuisance to local community.

How to cite: Manta, E., Ioannidis, R., Sargentis, G.-F., and Efstratiadis, A.: Aesthetic evaluation of wind turbines in stochastic setting: Case study of Tinos island, Greece, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5484, https://doi.org/10.5194/egusphere-egu2020-5484, 2020

Comments on the presentation

AC: Author Comment | CC: Community Comment | Report abuse

Presentation version 3 – uploaded on 07 May 2020 , no comments
Methodology update
Presentation version 2 – uploaded on 04 May 2020 , no comments
I added more details on the description of the methdology that is used for our analysis.
Presentation version 1 – uploaded on 01 May 2020 , no comments