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首页> 外文期刊>Applied Energy >Optimising the engine-propeller matching for a liquefied natural gas carrier under rough weather
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Optimising the engine-propeller matching for a liquefied natural gas carrier under rough weather

机译：优化恶劣天气下液化天然气运输船的发动机-螺旋桨匹配

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摘要

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 m(3) 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.
机译：双燃料柴油发动机已经成为液化天然气运输船（LNGC）的最令人感兴趣的替代方案，因为它们能够使用蒸发气作为燃料。然而，缺乏以综合方法考虑天气条件来优化推进系统选择的研究。因此，本工作旨在提供一种综合方法，以在恶劣天气下对LNGC进行发动机-螺旋桨匹配的优化。总阻力评估中包括天气状况，从而影响了螺旋桨的开水效率，轴速和制动功率。为了避免螺旋桨出现强度，气穴和振动等问题，该方法中包括了一些约束。应用了差分进化优化算法来最小化往返的推进燃料消耗。该案例研究是使用LNGC进行设计的，该LNGC的载货量为175,000 m（3），经载货状态从查尔斯湖经巴拿马运河运往东京湾，然后以压载水返回。在2.8小时内找到了适用于5346个螺旋桨的所有匹配件，其中超过28％受到了约束。该方法已显示出可节省多达19％的燃料支出。恶劣天气下所需的制动力比静水高约20％。因此，这里使用的方法显示出巨大的收益，并突出了以综合方式探索各种螺旋桨和发动机以及考虑天气条件的价值。

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