一种实用的船舶动态最佳吃水差优化方法
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  • 英文篇名:A Practical Optimization Method for Optimal Draught Difference of Ship Dynamics
  • 作者:王冬 ; 吕蒙蒙
  • 英文作者:WANG Dong;Lv Meng-meng;Weihai Pilot Station;Navigation College, Shandong Jiaotong University;
  • 关键词:最佳吃水差 ; 动态 ; 配载仪
  • 英文关键词:trim optimization;;dynamic;;loading computer
  • 中文刊名:QDYY
  • 英文刊名:Journal of Qingdao Ocean Shipping Mariners College
  • 机构:威海港引航站;山东交通学院;
  • 出版日期:2018-12-30
  • 出版单位:青岛远洋船员职业学院学报
  • 年:2018
  • 期:v.39;No.124
  • 基金:山东省重点研发计划项目(2018GGX105014);; “山东省高等学校科学技术计划项目(J18KA010)”;; 山东省交通运输科技计划项目(2018B69)
  • 语种:中文;
  • 页:QDYY201804004
  • 页数:4
  • CN:04
  • ISSN:37-1489/U
  • 分类号:17-20
摘要
为应对"能效运营指标(EEOI)自愿应用导则",减低能耗、节约成本,本文介绍了船舶动态最佳吃水差优化技术。通过理论分析及实船实海域试验,提出一种基于配载仪的最佳动态吃水差优化方法。利用该方法航海人员可以较简单地获取最佳纵倾值,可操作性强。比较试验数据与经验值,得出节能约1.1%。相比传统的CFD和船模试验法,该方法成本更小。船岸信息互联互通后,该方法可为大数据分析优化船舶操控性能提供一种新思路。
        In order to cope with the "Energy Efficiency Operational Index(EEOI) Voluntary Application Guidelines"to reduce energy consumption and save costs, this paper introduces the trim optimization technology for ship dynamic. Through theoretical analysis and actual ship sea test, an optimal dynamic draft difference optimization method based on the loader computer is proposed. With this method, the seafarer can obtain the optimal trim value easily and has high operability. The test data is compared with the empirical value and the energy saving is about1.1%. Compared to traditional CFD and ship model tests, the cost is smaller. This method can provide a new idea for big data analysis and optimization of ship handling performance after ship-to-shore information interconnection.
引文
[1] Hansen H.,Hochkirch K.(2013),Lean ECO Assistant Production for Trim Optimisation[C], 11th International Conference on Computer and IT Applications in the Maritime Industries, COMPIT2013, Cortona, Italy.
    [2] Hochkirch K., Mallol B.(2013), On the Importance of Full Scale CFD Simulations for Ships[C], 11th International Conference on Computer and IT Applications in the Maritime Industries, COMPIT2013, Cortona, Italy.
    [3]王伟,孙守超,郭春雨,等.船舶最佳纵倾及节能[J].应用科技,2017,44(5):1-4.
    [4]黄珍平,马卫星,陈晓莹,等.PCTC最佳纵倾模型试验[J].上海船舶运输科学研究所学报.2017,40(3):7-11.
    [5]张晶,程细得,冯佰威.基于减小阻力的油船最佳纵倾数值计算研究[J].武汉理工大学学报(交通科学与工程版). 2017,41(5):871-874.

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