Criteria-Based Fuzzy Logic Risk Analysis of Wind Farms Operation in Cold Climate Regions

Different risks are associated with the operation and maintenance of wind farms in cold climate regions, mainly due to harsh weather conditions that experience region such as (i) increased stoppage rate turbines conditions, (ii) limited accessibility snow cover on roads, (iii) stress workers at farms. In addition, there caused by during their operation, which impact surrounding environment community (iv) risk ice throw from turbines, (v) environmental farms, (vi) social opposition installing Arctic. The analysis these six provides an overall view potential encountered designers, operators, decision makers This paper presents a methodology quantify aforementioned using fuzzy logic method. At first, two criteria were established for probability consequences each risk; use experts’ judgments, membership functions graphed reflect criteria, represented input process. Furthermore, created levels, output. To test proposed methodology, farm Arctic Norway was selected case study its risks. Experts provided assessments scale 0–10, depending description them. Risk levels calculated MATLAB toolbox ranked accordingly. Limited highest risk, while lowest. demonstrate effects operating performance safety farm, same applied located non-cold-climate region, showed differently.