Austria's wind energy potential – A participatory modeling approach to assess socio-political and market acceptance

Höltinger, Stefan; Šalak, Boris; Schauppenlehner, Thomas; Scherhaufer, Patrick; Schmidt, Johannes

doi:10.1016/j.enpol.2016.08.010

Cited by 58 publications

(33 citation statements)

References 26 publications

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“…During past decades, numerous case studies have been conducted on WE acceptance and planning in different countries across Europe. Existing research on WE acceptance tends to concentrate on West-and North-European countries, such as Austria (Höltinger et al, 2016), Switzerland (Walter, 2014), Germany (Jobert et al, 2007;Langer et al, 2016;Leibenath and Lintz, 2017;Leibenath et al, 2016), and the UK (Walker et al, 2014;Simcock, 2016). Far fewer studies about WE acceptance exist in Central and Eastern European (CEE) countries, e.g., Poland (Michalak and Zimny, 2011) or Czech Republic (Frantál and Kucera, 2009), and South-Europe, like Greece (Kaldellis, 2005;Kontogianni et al, 2014;Oikonomou et al, 2009), or Portugal (Delicado et al, 2014;Silva and Delicado, 2017).…”

Section: 2regional Differences and Similarities In We Acceptance: mentioning

confidence: 99%

“…environmental justice (Cowell, 2010). Strategic planning of WE can take various forms and several studies from West Europe, e.g., France, Germany, Austria (Höltinger et al, 2016;Nadaï and van der Horst, 2010;Ohl and Eichhorn, 2010) indicate that, e.g. the definition of suitability and exclusion zones for WE does not per se guarantee higher acceptance, as much depends on the actual procedures.…”

Section: Strategic Planningmentioning

confidence: 99%

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Regional variation in public acceptance of wind energy development in Europe: What are the roles of planning procedures and participation?

et al. 2019

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Highlights  We conducted an expert survey about wind energy resistance in planning.  Resistance links to planning quality in four supra-national European regions.  Landscape encroachment is a major reason for resistance in most European regions.  Lack of social justice ranks high in East-and South-Europe.  Comprehensive strategic planning potentially reduces problems with resistance.

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Section: 2regional Differences and Similarities In We Acceptance: mentioning

confidence: 99%

Section: Strategic Planningmentioning

confidence: 99%

Regional variation in public acceptance of wind energy development in Europe: What are the roles of planning procedures and participation?

et al. 2019

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“…For example, Höltinger et al. have assessed the wind energy potential in Austria by considering some constraints resulting from social acceptance . On the basis of stakeholder workshops and interviews, “socially acceptable” sites for wind energy in Austria were identified.…”

Section: Decentralized Energy‐system Modeling Of Low Carbon Technologmentioning

confidence: 99%

“…In addition, the extensive dataset for Baden‐Württemberg related to the public's perception of the landscape was a key input. If such data are not available, researchers must resort to interactive methods, as in the case of Höltinger et al …”

Section: Decentralized Energy‐system Modeling Of Low Carbon Technologmentioning

confidence: 99%

Meeting the Modeling Needs of Future Energy Systems

et al. 2017

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Structural changes in the energy sector have created considerable challenges for regulators, energy consumers, and suppliers. Energy researchers rely on quantitative modeling approaches to address these challenges. At the Karlsruhe Institute of Technology, we have developed several models to analyze today's and the future's energy markets to address the challenges for electricity networks as a result of intermittent renewable and decentralized power and heat supply and to find solutions for integrating demand response. This paper presents a survey of these approaches and discusses further challenges. The developed models have proved to be suitable for answering a range of research questions related to structural changes. As the energy sector remains in a constant state of flux, these models need to be further developed. This means coupling different energy sectors and markets and improving their technical accuracy as well as their spatial and temporal resolutions.

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“…Höltinger et al (2016) assume a maximum capacity of approximately 50GW in Austria in their most optimistic modeling scenario and a capacity of approximately 40GW in their medium scenario. Given the geographical properties of Austria, without access to sea and thus without the option of building offshore wind farms, and the small-scale settlement structure, two types of locations appear particularly suitable for larger-scale wind 1 The Austrian Wind Energy Association lists a total of four citizen participation projects on their website, as of April 2019, see www.…”

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confidence: 99%

Not in my hiking trail? Acceptance of wind farms in the Austrian Alps

Brudermann

Zaman

Posch

2019

Clean Techn Environ Policy

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Large-scale wind power projects are one of the bearers of hope for a transition toward low-carbon electricity systems. The question of social acceptance of such projects near residential areas, or acceptance of the technology in general, has received significant attention in the scientific literature. Less attention has been placed on acceptability of wind farms in sparsely inhabited mountain areas; the focus of this paper therefore is on acceptance of wind farms in the Austrian Alps from the perspective of tourists and day trippers. We conducted a quantitative survey with visitors of alpine regions (n = 137) in proximity to recently constructed wind farms and identified drivers of (non-)acceptance by means of bivariate correlations and multiple linear regressions. Results indicate a high acceptance of wind technology in general and fairly high acceptance for the existing projects. Acceptance levels, however, are slightly, but significantly lower when respondents were asked to rate acceptability of wind farms in the Alps in general. Perceived benefits and reliability of wind power is the strongest predictor variable for higher acceptance levels, while annoyance through visual impact and noise is the strongest predictor variable for lower acceptance levels. Interestingly, factors like degree of information, concern regarding environmental impacts, trust in decision makers and climate change concern do not significantly affect acceptance levels. At the moment, no major opposition to wind power can be identified among tourists. Policy makers therefore should emphasize benefits of wind farms, as respective perceptions are a main predictor for acceptance. Operators should take annoyance concerns seriously, as this factor is predominant in predicting non-acceptance. Graphic abstractElectronic supplementary material The online version of this article (https ://doi.org/10.

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Austria's wind energy potential – A participatory modeling approach to assess socio-political and market acceptance

Cited by 58 publications

References 26 publications

Regional variation in public acceptance of wind energy development in Europe: What are the roles of planning procedures and participation?

Regional variation in public acceptance of wind energy development in Europe: What are the roles of planning procedures and participation?

Meeting the Modeling Needs of Future Energy Systems

Not in my hiking trail? Acceptance of wind farms in the Austrian Alps

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