Planning of renewables schemes: Deliberative and fair decision-making on landscape issues instead of reproachful accusations of non-cooperation

The main issues related to successful implementation policies concern the socio-economic institutions that are conditional to planning in the energy policy domain, but also in the domain of spatial planning. Successful investments and the siting of renewable power plants eventually determine the success rate of national efforts in establishing renewable capacity. Central planning usually has several objectives and these often have a detrimental effect on the goal of renewable energy application. Current problems related to implementation decisions concerning wind power schemes are an example to those who will be faced by other renewable power plants, notably biomass.Regarding community acceptance of wind power schemes, the visual evaluation of the impact of wind power on the values of the landscape is by far the most dominant factor in explaining opposition or support. Type of landscape fully overshadows other attitudinal attributes, as well as other visual and scenic factors such as the design of wind turbines and wind farms, and the number and the size of turbines. Planning regimes and decision-making practices that really enhance the implementation processes of renewable energy require ‘strong’ ecological modernization. This means institutional changes that create involvement and trust of actors at the actual implementation level. Local opposition cannot be explained by the egotistical motives of local residents. When the inclination to behave according to (supposed) backyard motives is investigated, the scale to measure this phenomenon appears to indicate commitment to equity issues and fairness of decision-making. Hence, for wind power, local involvement to represent the local values of site-specific landscapes is crucial. For other renewables the source-specific features are different, but conflicts can be expected as well because the fairness of implementation decisions will be equally significant.