کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
11017548 1725872 2018 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optimising the engine-propeller matching for a liquefied natural gas carrier under rough weather
ترجمه فارسی عنوان
بهینه سازی تطبیق موتور پروانه برای یک گاز طبیعی مایع تحت شرایط آب و هوایی خشن
کلمات کلیدی
بهینه سازی، میلگرد، موتور دیزل دوگانه، پروانه زمین ثابت، مصرف سوخت،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
چکیده انگلیسی
Dual-fuel Diesel engines have become the most interesting alternative for liquefied natural gas carriers (LNGCs) since they are able to use boil-off gas as fuel. However, there is a lack of studies about the optimisation of propulsion system selection considering weather conditions in an integrated approach. Thus, the present work aims to provide a comprehensive approach to perform the optimisation of engine-propeller matching for an LNGC under rough weather. A weather condition was included in the assessment of total resistance and thereby affected the propeller's open water efficiency, shaft speed and brake power. Constraints were included to the approach in order to avoid propellers that could present issues concerning strength, cavitation and vibration. A differential evolution optimisation algorithm was applied to minimise the fuel expenditure of propulsion for a round trip. The case study was designed using an LNGC with cargo capacity of 175,000 m3 sailing in laden condition from Lake Charles to Tokyo Bay, via Panama Canal, and returning in ballast. All suitable matchings for 5346 propellers were found in 2.8 h and over 28% of them were constrained. The method has shown gains up to 19% of fuel expenditure reduction. The required brake power was approximately 20% higher for rough weather than for still water. Therefore, the approach used here has shown a significant gain and highlighted the value of exploring a broad range of propellers and engines in an integrated manner, as well as considering the weather condition.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Energy - Volume 232, 15 December 2018, Pages 187-196
نویسندگان
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