Abstract The required acceleration of onshore wind deployment requires the consideration both economic and social criteria. With a spatially explicit analysis validated European turbine stock, we show that historical siting focused on cost-effectiveness turbines minimization local disamenities, resulting in substantial regional inequalities. A multi-criteria allocation approach demonstrates 180...

Abstract This paper proposes a multi-criteria decision-making method for new energy power station site selection based on fuzzy comprehensive analysis method. It is applied to make decisions the target location when selecting address building station, ensure reasonableness of corresponding weights each index, and give reasonable scientific suggestions decision-makers obtain expected results. We...

The deployment of onshore wind power is an important means to mitigate climate change. However, turbines also produce local disamenities residents living next them, mainly due noise emissions and visual effects. Our paper analyzes how the presence affects socially optimal siting power. analysis builds on a spatial optimization model using geographical information system (GIS) data for Germany. ...