کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6679753 | 1428064 | 2018 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Optimal design of a hybrid electric propulsive system for an anchor handling tug supply vessel
ترجمه فارسی عنوان
طراحی مطلوب یک سیستم ایمپلنت هیبرید الکتریکی برای تحویل کانتینر کشتی
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کلمات کلیدی
بهینه سازی چند هدفه، سیستم حرکتی هیبریدی، مصرف سوخت، انتشار گازهای گلخانه ای، هزینه زندگی چرخه، لنگر تحمل کشتی تحویل کشتی،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
مهندسی انرژی و فناوری های برق
چکیده انگلیسی
Hybrid electric propulsive systems (HEPSs) attract increasing research interest due to their environmental and economic merits. However, the design optimization of HEPSs with the single objective of fuel saving may result in increased greenhouse gas (GHG) emission and high cost. The present study proposes a multi-objective optimization method to obtain an optimal trade-off with respect to fuel consumption, GHG emission, and lifecycle cost. Due to high convergence in solving constrained multi-objective optimization problems, the non-dominated sorting genetic algorithm II (NSGA-II) is developed to explore an optimal design space. Performance tests are conducted on a real-time hardware-in-the-loop (HIL) platform. The hybrid diesel/battery/shore power system on an anchor handling tug supply vessel is considered as a study case. The results of the proposed NSGA-II are compared with those from a single-objective optimization pursuing minimum fuel consumption. The proposed method outputs designs that can significantly reduce GHG emission and lifecycle cost by sacrificing low fuel consumption when compared with that of single objective optimization. Furthermore, the HEPS designed by the proposed method exhibits advantages over the conventional propulsive system in terms of all the three aspects.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Energy - Volume 226, 15 September 2018, Pages 423-436
Journal: Applied Energy - Volume 226, 15 September 2018, Pages 423-436
نویسندگان
Zhu Jianyun, Chen Li, Wang Bin, Xia Lijuan,