Developing a risk breakdown matrix for onshore wind farm projects using fuzzy case-based reasoning

As worldwide goals for sustainable development expand, numerous countries are investing in renewable energy projects, particularly onshore and offshore wind farm which have low adverse environmental impacts. Since projects novel types of infrastructure many worldwide, the literature lacks a comprehensive list risks that affect such projects. The first goal this paper is to fill research gap by identifying work-package–level construction developing risk breakdown matrix suitable these However, application existing identification techniques usually hindered lack literature, scarcity historical data, high cost acquiring expert knowledge. Consequently, second new technique based on case-based reasoning fuzzy logic component enables associated with given type project its similarities other Moreover, proposed allows users assess between different using linguistic variables, it facilitates capture partial In addition technique, presents representing 169 factors, mapped 11 work packages improve management process results compared conventional techniques, confirming like farms.