An open source GIS tool to quantify the visual impact of wind turbines and photovoltaic panels

Minelli, Annalisa; Marchesini, Ivan; Taylor, Faith E.; Rosa, Pierluigi De; Casagrande, Luca; Cenci, Michele

doi:10.1016/j.eiar.2014.07.002

Cited by 57 publications

(24 citation statements)

References 20 publications

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“…Renewable power development needs to be more restricted in some areas with sensitive ecosystems or high cultural or scenic values . Although there are several economic and environmental incentives for generating energy from solar and wind power, there can be local opposition to their installation because of their impact on the landscape . Offshore wind farms may be a remedy in such areas with limited available land to construct a wind farm.…”

Section: Discussionmentioning

confidence: 99%

An overview of the environmental, economic, and material developments of the solar and wind sources coupled with the energy storage systems

et al. 2017

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Summary There is a constant growth in energy consumption and consequently energy generation around the world. During the recent decades, renewable energy sources took heed of scientists and policy makers as a remedy for substituting traditional sources. Wind and photovoltaic (PV) are the least reliable sources because of their dependence on wind speed and irradiance and therefore their intermittent nature. Energy storage systems are usually coupled with these sources to increase the reliability of the hybrid system. Environmental effects are one of the biggest concerns associated with the renewable energy sources. This study summarizes the last and most important environmental and economic analysis of a grid‐connected hybrid network consisting of wind turbine, PV panels, and energy storage systems. Focusing on environmental aspects, this paper reviews land efficiency, shaded analysis of wind turbines and PV panels, greenhouse gas emission, wastes of wind turbine and PV panels' components, fossil fuel consumption, wildlife, sensitive ecosystems, health benefits, and so on. A cost analysis of the energy generated by a hybrid system has been discussed. Furthermore, this study reviews the latest technologies for materials that have been used for solar PV manufacturing. This paper can help to make a right decision considering all aspects of installing a hybrid system. Copyright © 2017 John Wiley & Sons, Ltd.

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Section: Discussionmentioning

confidence: 99%

An overview of the environmental, economic, and material developments of the solar and wind sources coupled with the energy storage systems

et al. 2017

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“…Nowadays, there are methods based on the visual interpretation of aerial photographs or digital processing of remotely acquired optical and radar imagery (Catani et al, 2005;Herrera et al, 2009;Fiorucci et al, 2011Fiorucci et al, , 2018Casagli et al, 2017;Mondini, 2017;Alvioli et al, 2018b), which allow historical and event landslide inventories to be prepared. However, the adoption of such methods can be hampered by the lack of imagery or image interpretation expertise, low performance of automatic classification and other factors.…”

Section: Introductionmentioning

confidence: 99%

Effective surveyed area and its role in statistical landslide susceptibility assessments

Bornaetxea

Rossi

Marchesini

et al. 2018

Nat. Hazards Earth Syst. Sci.

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Abstract. Geomorphological field mapping is a conventional method used to prepare landslide inventories. The approach is typically hampered by the accessibility and visibility, during field campaigns for landslide mapping, of the different portions of the study area. Statistical significance of landslide susceptibility maps can be significantly reduced if the classification algorithm is trained in unsurveyed regions of the study area, for which landslide absence is typically assumed, while ignorance about landslide presence should actually be acknowledged. We compare different landslide susceptibility zonations obtained by training the classification model either in the entire study area or in the only portion of the area that was actually surveyed, which we name effective surveyed area. The latter was delineated by an automatic procedure specifically devised for the purpose, which uses information gathered during surveys, along with landslide locations. The method was tested in Gipuzkoa Province (Basque Country), north of the Iberian Peninsula, where digital thematic maps were available and a landslide survey was performed. We prepared the landslide susceptibility maps and the associated uncertainty within a logistic regression model, using both slope units and regular grid cells as the reference mapping unit. Results indicate that the use of effective surveyed area for landslide susceptibility zonation is a valid approach that minimises the limitations stemming from unsurveyed regions at landslide mapping time. Use of slope units as mapping units, instead of grid cells, mitigates the uncertainties introduced by training the automatic classifier within the entire study area. Our method pertains to data preparation and, as such, the relevance of our conclusions is not limited to the logistic regression but are valid for virtually all the existing multivariate landslide susceptibility models.

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“…Authors claiming to investigate visual impact usually merely look at visibility, implicitly using an inadequate and biased concept as a proxy for visual impact: 'The visual impact calculation consists in determining whether a renewable facility from the inventory can be seen' (Rodriguez, Montañés, & Fueyo, 2010, p. 241). Most studies apply GIS-based 'viewshed' calculations (Griffin, Denu, Guerry, Kim, & Ruckelshaus, 2015;Minelli et al, 2014). Studies of PV similarly narrow impact to 'visibility' and 'viewsheds' (FernandezJimenez et al, 2015;Minelli et al, 2014).…”

Section: Visual Impact ≠ Visibilitymentioning

confidence: 99%

“…Most studies apply GIS-based 'viewshed' calculations (Griffin, Denu, Guerry, Kim, & Ruckelshaus, 2015;Minelli et al, 2014). Studies of PV similarly narrow impact to 'visibility' and 'viewsheds' (FernandezJimenez et al, 2015;Minelli et al, 2014).…”

Section: Visual Impact ≠ Visibilitymentioning

confidence: 99%

Co-production in distributed generation: renewable energy and creating space for fitting infrastructure within landscapes

Wolsink

2017

Landscape Research

100

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This review describes the infrastructural elements of the socio-technical system of power supply based on renewables and the role of landscape concerns in decision-making about emerging 'intelligent grids' . The considerable land areas required for energy infrastructure call for sizable 'distributed generation' close to energy consumption. Securing community acceptance of renewables' infrastructure, perceived impacts on the community, and 'landscape justice' requires two types of co-production: in power supply and in making space available. With co-production, landscape issues are prominent, for some options dominant. However, 'objectification' of landscape, such as the use of 'visibility' as proxy for 'visual impact' , is part of lingering centralised and hierarchical approaches to the deployment of renewables. Institutional tendencies of centralisation and hierarchy, in power supply management as well as in siting, should be replaced by coproduction, as follows from common pool resources theory. Co-production is the key to respecting landscape values, furthering justice, and achieving community acceptance.

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An open source GIS tool to quantify the visual impact of wind turbines and photovoltaic panels

Cited by 57 publications

References 20 publications

An overview of the environmental, economic, and material developments of the solar and wind sources coupled with the energy storage systems

An overview of the environmental, economic, and material developments of the solar and wind sources coupled with the energy storage systems

Effective surveyed area and its role in statistical landslide susceptibility assessments

Co-production in distributed generation: renewable energy and creating space for fitting infrastructure within landscapes

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