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Risk assessment of wind turbines: Transition from pure mechanistic paradigm to modern complexity paradigm

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  • Ashrafi, Maryam
  • Davoudpour, Hamid
  • Khodakarami, Vahid

Abstract

Many technological systems that are composed of technical parts embedded in human, organizational, and environmental contexts can be categorized as complex systems. They have various interactions and a nonlinear relationship between their components. They are also open to their environment and make exchanges with it.

Suggested Citation

  • Ashrafi, Maryam & Davoudpour, Hamid & Khodakarami, Vahid, 2015. "Risk assessment of wind turbines: Transition from pure mechanistic paradigm to modern complexity paradigm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 347-355.
    • Handle: RePEc:eee:rensus:v:51:y:2015:i:c:p:347-355
    DOI: 10.1016/j.rser.2015.06.011
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    References listed on IDEAS

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    1. Mohaghegh, Zahra & Kazemi, Reza & Mosleh, Ali, 2009. "Incorporating organizational factors into Probabilistic Risk Assessment (PRA) of complex socio-technical systems: A hybrid technique formalization," Reliability Engineering and System Safety, Elsevier, vol. 94(5), pages 1000-1018.
    2. Sinha, Y. & Steel, J.A., 2015. "A progressive study into offshore wind farm maintenance optimisation using risk based failure analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 735-742.
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    5. Mahmood Shafiee & Fateme Dinmohammadi, 2014. "An FMEA-Based Risk Assessment Approach for Wind Turbine Systems: A Comparative Study of Onshore and Offshore," Energies, MDPI, vol. 7(2), pages 1-24, February.
    6. Hammar, Linus & Wikström, Andreas & Molander, Sverker, 2014. "Assessing ecological risks of offshore wind power on Kattegat cod," Renewable Energy, Elsevier, vol. 66(C), pages 414-424.
    7. Herbert, G.M. Joselin & Iniyan, S. & Goic, Ranko, 2010. "Performance, reliability and failure analysis of wind farm in a developing Country," Renewable Energy, Elsevier, vol. 35(12), pages 2739-2751.
    8. Guo, Haitao & Watson, Simon & Tavner, Peter & Xiang, Jiangping, 2009. "Reliability analysis for wind turbines with incomplete failure data collected from after the date of initial installation," Reliability Engineering and System Safety, Elsevier, vol. 94(6), pages 1057-1063.
    9. Lin, Jin & Cheng, Lin & Chang, Yao & Zhang, Kai & Shu, Bin & Liu, Guangyi, 2014. "Reliability based power systems planning and operation with wind power integration: A review to models, algorithms and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 921-934.
    10. Zhang, Cai Wen & Zhang, Tieling & Chen, Nan & Jin, Tongdan, 2013. "Reliability modeling and analysis for a novel design of modular converter system of wind turbines," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 86-94.
    11. Marquez, David & Neil, Martin & Fenton, Norman, 2010. "Improved reliability modeling using Bayesian networks and dynamic discretization," Reliability Engineering and System Safety, Elsevier, vol. 95(4), pages 412-425.
    12. Hameed, Z. & Vatn, J. & Heggset, J., 2011. "Challenges in the reliability and maintainability data collection for offshore wind turbines," Renewable Energy, Elsevier, vol. 36(8), pages 2154-2165.
    13. Davoudpour, Hamid & Rezaee, Sara & Ashrafi, Maryam, 2012. "Developing a framework for renewable technology portfolio selection: A case study at a R&D center," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4291-4297.
    14. Carbone, Giuseppe & Afferrante, Luciano, 2013. "A novel probabilistic approach to assess the blade throw hazard of wind turbines," Renewable Energy, Elsevier, vol. 51(C), pages 474-481.
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    1. Yang, Zhimin & Chai, Yi, 2016. "A survey of fault diagnosis for onshore grid-connected converter in wind energy conversion systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 345-359.
    2. Jin, Xin & Ju, Wenbin & Zhang, Zhaolong & Guo, Lianxin & Yang, Xiangang, 2016. "System safety analysis of large wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1293-1307.
    3. Adedipe, Tosin & Shafiee, Mahmood & Zio, Enrico, 2020. "Bayesian Network Modelling for the Wind Energy Industry: An Overview," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    4. Andrea E. Copping & Alicia M. Gorton & Roel May & Finlay Bennet & Elise DeGeorge & Miguel Repas Goncalves & Bob Rumes, 2020. "Enabling Renewable Energy While Protecting Wildlife: An Ecological Risk-Based Approach to Wind Energy Development Using Ecosystem-Based Management Values," Sustainability, MDPI, vol. 12(22), pages 1-18, November.
    5. Qazi, Abroon & Dickson, Alex & Quigley, John & Gaudenzi, Barbara, 2018. "Supply chain risk network management: A Bayesian belief network and expected utility based approach for managing supply chain risks," International Journal of Production Economics, Elsevier, vol. 196(C), pages 24-42.
    6. Qazi, Abroon & Quigley, John & Dickson, Alex & Ekici, Şule Önsel, 2017. "Exploring dependency based probabilistic supply chain risk measures for prioritising interdependent risks and strategies," European Journal of Operational Research, Elsevier, vol. 259(1), pages 189-204.

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