D4.3 Multi-Criteria Satisfaction Analysis (b)

 This deliverable presents a step-by-step guide for implementing a framework based on the Multi-Criteria Satisfaction Analysis (MCSA) method to evaluate satisfaction for wind power plant projects. The framework proposes a systematic procedure to collect and translate the preferences of residents into quantifiable satisfaction levels for wind power production installations in their vicinity. Building on the inputs from D4.1 and D4.2, a tailor-made and transparent satisfaction analysis system has been developed that incorporates specific criteria, indicators, and factors influencing wind energy satisfaction. Satisfaction functions of participants are determined using a preference disaggregation decision analysis model called the MUlticriteria Satisfaction Analysis (MUSA) method, with the help of questionnaires. The aggregated preferences of participants across multiple criteria yield result in the satisfaction levels, which are then categorised per demographic groups to support targeted strategies for improving satisfaction. 
The detailed guidelines provided in this deliverable support local authorities, analysts, and anyone else, seeking to apply a 
satisfaction analysis in their respective areas. The potential practitioners can also benefit and inspire themselves from the 
actual satisfaction questions, created as part of the WIMBY project. The satisfaction analysis framework and the developed questionnaire have been validated across four pilot sites in three countries, the results of which are presented and analysed in this deliverable. Insights from the case studies will inform recommendations in WIMBY D4.6.