Abstract
Due to rising worldwide energy demand and growing worries about environmental issues such as climate change and global warming, renewable energy resources have attracted a lot of attention in recent years. Renewable energy is defined as energy sources that provide energy via natural processes and can regenerate noticeably faster than the depletion rate of the resources consumed. Wind energy is being more widely preferred to satisfy the community’s demand. The increasing growth of the wind power business necessitates improved equipment sustainability and reliability. As a result, the issue of reliability is critical for large-scale wind turbines which provide electricity to the national energy system. Wind farms have been built in numerous regions around Turkey in recent years and are currently being built. The objective of this study is to provide a decision-making model for ranking the risk and failures that wind power plants may during electricity production. In the proposed model, four risk and failure sources are examined under five evaluation criteria. In order to reflect evaluation criteria more comprehensively, fuzzy MCDM methodology is used to determine the most and least risk and failure sources that power plants may face during their operations. In this context, the VIKOR method is applied to determine the weights of the criteria and the ratings of the risk according to each criterion with qualitative data. VIKOR method is extended with the concept of an intuitionistic fuzzy set to define accurately the vague and imprecise situations which are defined qualitatively. This study could be considered as one of the first attempts to evaluate the integration of emerging risk and failure analysis in wind power plants with qualitative datasets. The results of this study imply that the most important risk and failure factors depend on the uncontrollable conditions or stochastic nature of the events such as unstable weather conditions.
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Yilmaz, İ., Caliskan, E. (2023). Qualitative Analysis Method for Evaluation of Risk and Failures in Wind Power Plants: A Case Study of Turkey. In: Garg, H. (eds) Advances in Reliability, Failure and Risk Analysis. Industrial and Applied Mathematics. Springer, Singapore. https://doi.org/10.1007/978-981-19-9909-3_13
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