Public acceptance of and heterogeneity in behavioral beach trip responses to offshore wind farm development in Catalonia (Spain)

Voltaire, Louinord; Koutchade, Obafemi Philippe

doi:10.1016/j.reseneeco.2020.101152

Cited by 27 publications

(8 citation statements)

References 57 publications

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“…These concerns include perceived impacts on wildlife, but also direct impacts on people through their use of the environment. Visual impact is known to be an issue for solar parks on land (Bevk & Golobič, 2020) and for offshore wind developments (Voltaire & Koutchade, 2020) and so is likely to be of concern for marine floatovoltaics, particularly in areas with high levels of recreation and tourism.…”

Section: Public Perceptionmentioning

confidence: 99%

Environmental impacts and benefits of marine floating solar

Hooper

Armstrong

Vlaswinkel³

2021

Solar Energy

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Deployment of floating solar photovoltaic installations (floatovoltaics) is advancing, with various designs beginning to appear in a range of marine environments. Insight from freshwater floatovoltaics is not readily transferable offshore, and so lessons from other marine energy infrastructure are used to highlight how the marine environment may impact floatovoltaics, how the floatovoltaics impact the environment (both positively and negatively) and the likely societal response. It becomes clear that research to understand the environmental and societal implications of floating solar in the marine environment must proceed in parallel with investigations of the technical and economic feasibility.

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Section: Public Perceptionmentioning

confidence: 99%

Environmental impacts and benefits of marine floating solar

Hooper

Armstrong

Vlaswinkel³

2021

Solar Energy

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“…Furthermore, the "viewshed effect" of offshore wind energy may have a particularly acute economic impact on coastal touristic 1745 destinations, an observation corroborated across multiple case studies in Spain (Voltaire and Koutchade, 2020), US (Landry et al, 2012;Lilley et al, 2010;Parsons et al, 2020), France (Westerberg et al, 2013), and Denmark (Ladenburg and Dubgaard, 2007), among other jurisdictions. This may lead to significant revenue losses for tourism-dependent businesses, potentially outweighing the economic profits stemming from offshore wind farm developments and ultimately resulting in a net welfare loss for the affected coastal region (Voltaire and Koutchade, 2020). However, there may also be limited benefits (Hooper et 1750(Hooper et al, 2017.…”

Section: Offshore Wind Farmsmentioning

confidence: 99%

“…The so-called "viewshed effect" or "horizon pollution" (in Germany) of offshore wind farms may have adverse economic impacts on coastal touristic destinations (e.g. Ladenburg and Dubgaard, 2007), and may result in a net welfare loss for the affected coastal region (Voltaire and Koutchade, 2020). There are, however, controversial views (Hooper et al, 2017).…”

Section: Impacts Of Offshore Wind Farms On Other Factorsmentioning

confidence: 99%

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Human impacts and their interactions in the Baltic Sea region

Reckermann

Omstedt

Soomere

et al. 2021

Preprint

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Abstract. Coastal environments, in particular heavily populated semi-enclosed marginal seas and coasts like the Baltic Sea region, are stongly affected by human activities. A multitude of human impacts, including climate change, affects the different compartments of the environment, and these effects interact with each other. As part of the Baltic Earth Assessment Reports (BEAR), we present an inventory and discussion of different human-induced factors and processes affecting the environment of the Baltic Sea region, and their interrelations. Some are naturally occurring and modified by human activities (i.e. climate change, coastal processes, hypoxia, acidification, submarine groundwater discharges, marine ecosystems, non-indigenous species, land use and land cover), some are completely human-induced (i.e. agriculture, aquaculture, fisheries, river regulations, offshore wind farms, shipping, chemical contamination, dumped warfare agents, marine litter and microplastics, tourism, coastal management), and they are all interrelated to different degrees. We present a general description and analysis of the state of knowledge on these interrelations. Our main insight is that climate change has an overarching, integrating impact on all of the other factors and can be interpreted as a background effect, which has different implications for the other factors. Impacts on the environment and the human sphere can be roughly allocated to anthropogenic drivers such as food production, energy production, transport, industry and economy. We conclude that a sound management and regulation of human activities must be implemented in order to use and keep the environments and ecosystems of the Baltic Sea region sustainably in a good shape. This must balance the human needs, which exert tremendous pressures on the systems, as humans are the overwhelming driving force for almost all changes we see. The findings from this inventory of available information and analysis of the different factors and their interactions in the Baltic Sea region can largely be transferred to other comparable marginal and coastal seas in the world.

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“…Based on the available wind speed, grid demand, and possible malfunctions, wind turbine systems are expected to generate the required electrical power energy continuously [27][28][29][30][31]. Most of the countries that installed this wind power generation have access to a strong wind, located at high altitudes and offshore such as China [10,[32][33][34][35], Taiwan [8,[36][37][38][39][40], United States [10,35,[41][42][43][44][45], Germany [17,[46][47][48][49], India [43,[50][51][52][53], and Spain [54][55][56][57].…”

Section: Introductionmentioning

confidence: 99%

Application of Machine Learning Technique Using Support Vector Machine in Wind Turbine Fault Diagnosis

Shahrulhisham

Chong²,

Yaw³

et al. 2022

J. Phys.: Conf. Ser.

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Wind energies are one of the most used resources worldwide and favours the economy by not emitting harmful gases that could lead to global warming. It is a cost-efficient method and environmentally friendly. Hence, explains the popularity of wind energy production over the years. Unfortunately, a minor fault could be contagious by affecting the nearby components, then a more complicated problem might arise, which may be costly. Thus, this article conducted a machine learning technique, support vector machine (SVM) to monitor the health of the wind turbine system by classifying the class of healthy data and faulty data. Some SVM types were experimented with, including Linear, Quadratic, Cubic, Fine Gaussian, Medium Gaussian, and Coarse Gaussian. Then these models were trained under different validation schemes that are cross-validation, holdout validation, and re-substitution validation as an approach to evaluate the performance of each model. In the end, Cubic SVM is proven to outperformed other models under the provision of 10-fold cross-validation with an accuracy of 98.25%. The result showed that Cubic SVM has the best performance while Linear SVM has the least accuracy among other models. Hence choosing the default value is preferred as the final product to diagnose the fault in wind turbine systems.

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Public acceptance of and heterogeneity in behavioral beach trip responses to offshore wind farm development in Catalonia (Spain)

Cited by 27 publications

References 57 publications

Environmental impacts and benefits of marine floating solar

Environmental impacts and benefits of marine floating solar

Human impacts and their interactions in the Baltic Sea region

Application of Machine Learning Technique Using Support Vector Machine in Wind Turbine Fault Diagnosis

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