Concept for collaborative design of wind farms facilitated by an interactive GIS-based visual-acoustic 3D simulation

Planning of wind farms appears to be a complicated matter in Switzerland and all over Europe, causing growing government and business frustration. The implementation often fails on the local level when it comes to choosing a suitable location for a wind farm, although the public generally supports wind power (DEVINE-WRIGHT 2005, WOLSINK, 2005). Social acceptance is a key issue for successful wind energy market development. The choice of the location is most crucial for public stakeholders and there is growing awareness amongst policy makers that not only the physical characteristics of a wind farm but also the process of planning a wind farm is an important factor influencing public acceptability (DEVINE-WRIGHT 2005). However, 75% of all stakeholders in Switzerland state that there is a lack of planning instruments to improve or support social acceptance (BFE 2009). Thus, participatory wind power planning needs adequate new instruments.

[1]  Ian D. Bishop,et al.  Visual assessment of off-shore wind turbines: The influence of distance, contrast, movement and social variables , 2007 .

[2]  Eckart Lange.  99 volumes later: We can visualise. Now what? , 2011 .

[3]  James P. Braselton,et al.  Technology and Applications , 1997 .

[4]  Jacob A. Benfield,et al.  Aesthetic and affective effects of vocal and traffic noise on natural landscape assessment , 2010 .

[5]  Thomas C. Brown,et al.  A primer on nonmarket valuation , 2003 .

[6]  H. Eisenbeiss,et al.  Unmanned aerial vehicle in cadastral applications , 2012 .

[7]  Ian D. Bishop,et al.  Realism and selectivity in data-driven visualisations: A process for developing viewer-oriented landscape surrogates , 2007 .

[8]  Patrick Devine-Wright,et al.  Beyond NIMBYism: towards an integrated framework for understanding public perceptions of wind energy , 2005 .

[9]  K. Heutschi,et al.  Simulation of ground impedance in finite difference time domain calculations of outdoor sound propagation , 2005 .

[10]  E. Pedersen,et al.  The impact of visual factors on noise annoyance among people living in the vicinity of wind turbines , 2008 .

[11]  Phoebe Koundouri,et al.  Using a choice experiment to account for preference heterogeneity in wetland attributes: The case of Cheimaditida wetland in Greece , 2006 .

[12]  Paul A. Bell,et al.  Visibility and Natural Quiet in National Parks and Wilderness Areas , 2004 .

[13]  Adrian Herwig,et al.  Game Engines: Tools for Landscape Visualization and Planning? , 2004 .

[14]  Ian D. Bishop,et al.  Visualization in Landscape and Environmental Planning : Technology and Applications , 2005 .

[15]  Eckart Lange,et al.  Combining a participatory planning approach with a virtual landscape model for the siting of wind turbines , 2005 .

[16]  T. Daniel.  Whither scenic beauty? Visual landscape quality assessment in the 21st century , 2001 .

[17]  Eckart Lange,et al.  The limits of realism: perceptions of virtual landscapes , 2001 .

[18]  James F. Palmer,et al.  Rating reliability and representation validity in scenic landscape assessments , 2001 .

[19]  Maarten Wolsink,et al.  Wind power implementation: The nature of public attitudes: Equity and fairness instead of ‘backyard motives’ , 2007 .

[20]  Michael Vorlnder,et al.  Auralization: Fundamentals of Acoustics, Modelling, Simulation, Algorithms and Acoustic Virtual Reality , 2020 .

[21]  Christopher Young,et al.  Visualization in landscape and environmental planning , 2007, Landscape Ecology.

[22]  Stephen R.J. Sheppard.  Validity, reliability and ethics in visualization , 2005 .

[23]  Yang Xunren,et al.  Computational atmospheric acoustics , 1997 .

[24]  Andrew A. Lovett,et al.  GIS-based visualisation of rural landscapes: Defining 'sufficient' realism for environmental decision-making , 2003 .

[25]  Elden F. Ray,et al.  Applications of Attenuations and Reflections in ISO 9613-2, Acoustics – Attenuation of Sound During Propagation Outdoors – Part 2: General Method of Calculation , 2004 .

[26]  Ian J. Bateman,et al.  Reducing gain-loss asymmetry: A virtual reality choice experiment valuing land use change , 2009 .