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关于海运行业挑战与仿真解决方案的技术简报:IMO环保法规、能效设计及STAR-CCM+关键技术应用

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这份西门子技术简报聚焦海运行业环保法规与能效挑战,系统介绍 STAR-CCM + 在船舶 CFD 仿真中的解决方案。简报梳理 IMO 排放、EEDI 能效、硫氧化物 / 氮氧化物限值等全球环保新规,指出传统船模试验存在尺度效应、成本高、周期长等局限。基于 STAR-CCM+,实现全尺度流场仿真、螺旋桨水动力分析、耐波与操纵运动模拟、冰区航行及流固耦合计算,支持船型优化与节能装置设计。通过自动化优化与数字孪生技术,提升船舶能效、降低排放,缩短研发周期,为绿色智能船舶设计提供全流程仿真支撑。


CFD within Marine Industry

Timothy Yen, PhD


Marine Industry and Environmental regulations - Update


• IMO regulations for emissions and environment:

• EEDI - covering most ship types (Effective January 2015) the level tightened incrementally every 5 years

• NOX Tier III (Effective from 1st January 2016 for ECAs)

• SOX – 0.10% ECA limit  (1st January 2015);

• ECAs: North America, US Caribbean, North Sea and Baltic

• China ECA areas (1st April 2016): Shanghai, Ningbo–Zhoushan, Suzhou, Nantong, Shenzhen

• Additional ports Tianjin, Qinhuangdao, Tangshan, Huanghua, Guangzhou and Zhuhai (1st January 2017):

• Global sulphur cap 0.5% implementation date 1st Jan 2020

• BWM Convention comes into force 8th  Sept 2017

• MARPOL part of the Polar Code (entry into force 1st January 2017; 2018 for existing ships)

• IMO guidelines for reducing underwater noise from commercial ships


Shipping in light of Paris Agreement


image.png

The range of expected increase in GHG

emissions in the shipping sector up until 2050 if no further action is taken.

image.png

Gap 1 : Already known technical, operational and structural means, enabling

•    50% reduction for vessels delivered in 2030

•    70% reduction for vessels delivered in 2050

Gap 2 : Break-through technologies to be made commercial beyond 2020


Potential efficiency gains

image.png

Challenges facing Marine industry

image.png

Traditional methods - limitations

Time and cost

        • Need for physical mode – not aligned with DX and optimization

        • Lead time to build model

        • Not in control of development cycle (TT slots)


Violates Reynolds similarity which govern viscous flow

        • Appendages strongly affected by viscosity – scaling difficult

        • Novel design solutions – no in-service data so scaling unreliable


Lack of information on flow behaviour

        • Hinders efforts to identify issues with flow field

        • Slows down effective solution process

Scale effects:  Axial wake

image.png

Scale effects: Predicted power for 2000TEU Containership

•Lloyd’s Register witnessed a number of cases where ITTC scaling of model tests failed to predict ship powercorrectly.

•Scale effect was regarded as one of the main reasons.

image.png

Scale effects: wind at 20 knots, 60° angle

image.png

Flow field visualisation – towing tank vs. CFD

image.png

Typical Towing tank test at HSVA

High-Speed Patrol Vessel (numerical towing tank)

image.png

Courtesy of Brodarski Institut Zagreb

Flow field visualisation – towing tank vs. CFD

Articulated tug-barge (ATB):

• Tug sits in a notch at aft end of a barge;

• Fixed together allowing independent sinkage and trim.

image.pngimage.png

Courtesy of Lloyd’s Register

Flow field visualisation – towing tank vs. CFD

image.png

Flow field visualisation – towing tank vs. CFD

image.png

Flow field visualisation – towing tank vs. CFD

image.png

Flow field prediction – Flow details

image.png

Solution – apply CFD at full scale

image.png


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