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HOLISTIC APPROACHES TO CONTAINERSHIP DESIGN

机译:集装箱设计的整体方法

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High fuel prices, low freight rates and environmental concerns have influenced the design and operational characteristics of all types of ships. In recent years particularly container ship designs were considerably changed towards a new generation of ECO-ship designs. These designs correspond to ships with lower emissions, lower operational costs and increased competitiveness compared to traditional tonnage. This paper presents a holistic, multi-objective optimization procedure for the design of such containerships. It encompasses the development of parametric models for the optimization of medium size vessels (capacity between 3,500 and 4,000 TEU) with emphasis on the Intra-Asian trade. Fully parametric geometric modeling and design simulation techniques are employed in the framework of the CAD/CAE environment of FRIENDSHIP-Framework. They include sophisticated assessment tools for the evaluation of critical ship design attributes, such as ship's weight, stability, resistance and powering for common operational conditions. The developed multi-criteria and multi-staged optimization approach enables the effective exploration of an extended design space (with the utilization of genetic algorithms-NSGA II) targeting the minimization of the Required Freight Rate (RFR), next to the Energy Efficiency Design Index (EEDI) and additionally the minimization of ballast water carriage for the common operational conditions (zero ballast in several practical loading conditions). Further emphasis is put on enhancing ship’s port efficiency to reduce time in port and consequently allow the reduction of transit speed between ports, with obvious positive effects on fuel consumption and emissions.
机译:高燃料价格,低运费和环境问题影响了各类船舶的设计和操作特征。近年来,尤其是集装箱船舶设计朝着新一代的生态船舶设计改变了。与传统吨位相比,这些设计对应于排放量较低,降低运营成本和竞争力提高的船舶。本文介绍了这种容器设计的整体,多目标优化程序。它包括开发参数模型,用于优化中尺寸血管(3,500至4,000 TEU之间的容量),重点是跨境贸易。友谊框架CAD / CAE环境的框架中采用了全部参数的几何建模和设计仿真技术。它们包括复杂的评估工具,用于评估临界船舶设计属性,例如船舶的重量,稳定性,电阻和用于共同操作条件的电力。开发的多阶段和多分阶段优化方法能够有效探索扩展设计空间(利用遗传算法-NSGA II),瞄准所需的运费(RFR),在能效设计指数旁边的最小化运费(RFR) (EEDI)并另外,镇流器水上载体最小化用于共同的操作条件(在几种实际负载条件下零镇流器)。进一步强调提高船舶的港口效率,以减少港口中的时间,从而允许港口之间的过渡速度降低,对燃料消耗和排放具有明显的积极影响。

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