دانلود مقاله ISI انگلیسی شماره 46756
ترجمه فارسی عنوان مقاله

مدل فرایند تحلیل شبکه ای فازی برای کاهش خطرات مرتبط با مزارع بادی دور از ساحل

عنوان انگلیسی
A fuzzy analytic network process model to mitigate the risks associated with offshore wind farms
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
46756 2015 10 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Expert Systems with Applications, Volume 42, Issue 4, March 2015, Pages 2143–2152

ترجمه کلمات کلیدی
کاهش خطر - مزرعه بادی دور از ساحل - تجزیه و تحلیل تصمیم گیری چندمعیاری (MCDA) - فرایند تحلیل شبکه ای فازی (FANP) - عملیات و تعمیر و نگهداری (O & M)
کلمات کلیدی انگلیسی
Risk mitigation; Offshore wind farm; Multiple-criteria decision analysis (MCDA); Fuzzy analytic network process (FANP); Operation and maintenance (O&M)
پیش نمایش مقاله
پیش نمایش مقاله  مدل  فرایند تحلیل شبکه ای فازی برای کاهش خطرات مرتبط با مزارع بادی دور از ساحل

چکیده انگلیسی

In the offshore renewable energy industry, it is extremely important to reduce the likelihood as well as the magnitude of potential risk events during system’s actual operation. Operational risks (either risk of system failures or environmental risks) may cause catastrophic damages to personnel or infrastructure and result in substantial costs in terms of lost production and emergency maintenance operations. Selection of a suitable strategy for mitigation of the risks associated with offshore renewable energy projects is a very complex and critical task. The aim of this paper is to propose a fuzzy analytic network process (FANP) approach, based on Chang’s extent analysis, in order to select the “most appropriate risk mitigation strategy” for offshore wind farms. Our proposed model consists of four possible alternatives (variation of offshore site layout, improvement of maintenance services, upgrading the monitoring systems, and modification in design of wind turbines) among which the decision maker has to select the best strategy according to four comparison criteria: safety, added value, cost and feasibility. The model is then applied to determine a suitable risk mitigation strategy for an offshore wind farm consisting of 30 wind turbines of 2 MW. Finally, the results are compared with those obtained using the crisp AHP and ANP models.