A review of land use, visibility and public perception of renewable energy in the context of landscape impact

Ioannidis, Romanos; Koutsoyiannis, Demetris

doi:10.1016/j.apenergy.2020.115367

Cited by 76 publications

(34 citation statements)

References 108 publications

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“…An interesting insight is provided, showing the evolution of water bodies in Greece, as new artificial lakes are created, resulting in amplification of natural variability. Such an argument in favor of the integration of dams in the landscape was recently proposed [56]. Note that increasing clustering of water bodies is associated with the construction of large-scale dams and it is related to the economic growth; increasing clustering appears in periods of increasing Gross Domestic Product (GDP) ( Figure 11).…”

Section: Ecosystemsmentioning

confidence: 83%

Evolution of Clustering Quantified by a Stochastic Method—Case Studies on Natural and Human Social Structures

et al. 2020

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Clustering structures appearing from small to large scales are ubiquitous in the physical world. Interestingly, clustering structures are omnipresent in human history too, ranging from the mere organization of life in societies (e.g., urbanization) to the development of large-scale infrastructure and policies for meeting organizational needs. Indeed, in its struggle for survival and progress, mankind has perpetually sought the benefits of unions. At the same time, it is acknowledged that as the scale of the projects grows, the cost of the delivered products is reduced while their quantities are maximized. Thus, large-scale infrastructures and policies are considered advantageous and are constantly being pursued at even great scales. This work develops a general method to quantify the temporal evolution of clustering, using a stochastic computational tool called 2D-C, which is applicable for the study of both natural and human social spatial structures. As case studies, the evolution of the structure of the universe, of ecosystems and of human clustering structures such as urbanization, are investigated using novel sources of spatial information. Results suggest the clear existence both of periods of clustering and declustering in the natural world and in the human social structures; yet clustering is the general trend. In view of the ongoing COVID-19 pandemic, societal challenges arising from large-scale clustering structures are discussed.

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Section: Ecosystemsmentioning

confidence: 83%

Evolution of Clustering Quantified by a Stochastic Method—Case Studies on Natural and Human Social Structures

et al. 2020

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“…Furthermore, solar PV shows the strongest acceptance among RE technologies, 38 , 39 and could also even increase the acceptance of local energy communities. 40 The impact of solar PV on landscapes is also estimated to be relatively low, 41 higher scenicness does not lead to the rejection of solar PV projects 17 and acceptance can be increased by coloring the modules in the color of the surrounding. 42 There is also rejection in society with regard to biomass, especially in relation to biogas plants associated with the cultivation of maize.…”

Section: Discussionmentioning

confidence: 99%

The impact of public acceptance on cost efficiency and environmental sustainability in decentralized energy systems

et al. 2021

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The impact of public acceptance on cost efficiency and environmental sustainability in decentralized energy systems Highlights d Determine cost-optimal energy systems of 11,131 German municipalities in 2050 d Combine cluster and regression analyses with mathematical optimization methods d Apply nationwide scenicness data to estimate the landscape impact of onshore wind d Rejecting onshore wind leads to a significant increase in costs and CO 2 emissions

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“…It has to be noted though that a limitation of this study lies in the subjectivity related to which types of civil infrastructures are considered of negative impact to landscape and which are considered of positive effect. However, we believe that this limitation can be overcome by sight-specific [69][70][71][72] or specialized literature [37] that can limit, to an extent, the associated subjectivity through the statistical analysis of public perception; e.g. like in utilization of our past study of Plastiras reservoir in this study.…”

Section: Discussionmentioning

confidence: 99%

“…We often see MFPs in our view. For example, an MFP can be a statue, a beautiful house, or a lake [36][37][38]. On the other hand, a common type of visually unpleasing or even repellent FPs are industrial installations or other civil infrastructures in landscapes.…”

Section: Introductionmentioning

confidence: 99%

Landscape Planning of Infrastructure through Focus Points’ Clustering Analysis. Case Study: Plastiras Artificial Lake (Greece)

et al. 2021

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Even though landscape quality is largely a subjective issue, the integration of infrastructure into landscapes has been identified as a key element of sustainability. In a spatial planning context, the landscape impacts that are generated by infrastructures are commonly quantified through visibility analysis. In this study, we develop a new method of visibility analysis and apply it in a case study of a reservoir (Plastiras dam in Greece). The methodology combines common visibility analysis with a stochastic tool for visual-impacts evaluation; points that generate high visual contrasts in landscapes are considered Focus Points (FPs) and their clustering in landscapes is analyzed trying to answer two questions: (1) How does the clustering of Focus Points (FPs) impact the aesthetic value of the landscape? (2) How can the visual impacts of these FPs be evaluated? Visual clustering is calculated utilizing a stochastic analysis of generated Zones of Theoretical Visibility. Based on the results, we argue that if the visual effect of groups of FPs is positive, then the optimal sitting of FPs should be in the direction of faint clustering, whereas if the effect is negative, the optimal sitting of FPs should be directed to intense clustering. In order to optimize the landscape integration of infrastructure, this method could be a useful analytical tool for environmental impact assessment or a monitoring tool for a project’s managing authorities. This is demonstrated through the case study of Plastiras’ reservoir, where the clustering of positively perceived FPs is found to be an overlooked attribute of its perception as a highly sustainable infrastructure project.

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A review of land use, visibility and public perception of renewable energy in the context of landscape impact

Cited by 76 publications

References 108 publications

Evolution of Clustering Quantified by a Stochastic Method—Case Studies on Natural and Human Social Structures

Evolution of Clustering Quantified by a Stochastic Method—Case Studies on Natural and Human Social Structures

The impact of public acceptance on cost efficiency and environmental sustainability in decentralized energy systems

Landscape Planning of Infrastructure through Focus Points’ Clustering Analysis. Case Study: Plastiras Artificial Lake (Greece)

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