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A reduction of fuel consumption and an increase in efficiency are currently required for river–sea bulk carriers. Pre-swirl and ducted stators are widely used devices in the industry and efficiency gains can be obtained for single-screw and twin-screw vessels. Based on the hydrodynamic characteristics of the 20,000 DWT river–sea bulk carrier, in this study, we proposed,designed, and tested a series of pre-swirl energy-saving devices(ESDs). The experimental results demonstrate that the proposed ESDs improved the propulsive efficiency and reduced the delivered power. The results confirm the success of our ESD for the20,000 DWT river–sea bulk carrier. We validated the role of Reynolds-averaged Navier–Stokes(RANS) computational fluid dynamics(CFD) in the twin-skeg river–sea vessel ESD design and found the circumferential arrangement and number of stators to be important factors in the design process. 相似文献
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准确评估船舶的能效表现是研究船舶性能、优化船舶能效的基础。为准确评估船舶航行状态对船舶航行油耗的影响和船舶的能效表现,以某超大型散货船为研究对象,基于船舶智能能效综合管理系统获取大量船舶航行数据,通过数据处理和特征工程找出影响船舶航行油耗的因素,采用人工神经网络建立船舶航行油耗模型。采用该模型预估船舶在一段航程中的总油耗量,验证该模型在评估船舶航行状态对船舶航行油耗的影响方面的有效性。此外,采用该模型对航程和转速进行优化,验证该模型对能效优化的可行性。 相似文献
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