دانلود مقاله ISI انگلیسی شماره 56538
ترجمه فارسی عنوان مقاله

ارزیابی روش هایی برای تدارکات برای نصب و راه اندازی نیروگاه های بادی دریایی

عنوان انگلیسی
Assessment approaches to logistics for offshore wind energy installation
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
56538 2016 12 صفحه PDF
منبع

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

Journal : Sustainable Energy Technologies and Assessments, Volume 14, April 2016, Pages 80–91

ترجمه کلمات کلیدی
انرژی بادی؛ مزارع بادی؛ تدارکات؛ منابع انرژی تجدیدپذیر؛ تاسیسات دریایی
کلمات کلیدی انگلیسی
Wind energy; Wind farms; Logistics; Renewable energy sources; Offshore installations
پیش نمایش مقاله
پیش نمایش مقاله  ارزیابی روش هایی برای تدارکات برای نصب و راه اندازی نیروگاه های بادی دریایی

چکیده انگلیسی

Offshore wind farm installation planning is highly complex, due to the high dependency on weather and the oversized components that impose specific constraints in areas such as transportation and lifting. Currently, there is very little transparency vis-à-vis the logistics challenges in the industry. We extend the literature by creating an overall view of the coherency between logistical methods and project performance. We develop knowledge about how to use the various approaches by analyzing different logistical solutions. A holistic view of the coherency between the approaches in terms of logistics and project performance, taking into consideration the external influence of weather, is provided through analysis of actual projects in the North Sea region. Case study findings reveal the major factors to be pre-assembly, vessel load, and the distance to shore. We suggest a pre-assembly strategy comprised of a minimum number of components for installation onsite and a maximum number of turbines to be loaded on a vessel. These findings are especially important for the new wind farms being positioned further offshore. We show by means of a case study, with specific characteristics and weather conditions, that the appropriate strategies can be arrived at by using a simulation-based decision-support tool we developed.