长江上游大水位差散货码头装卸工艺及设备研究

通过对长江上游大水位差港口散货码头自然条件的分析,提出了一种用于山区河流大水位差码头特殊条件下能适应水位变化、移动的大倾角输送设备.它的使用将使散货连续输送设备对岸坡坡度要求的适应性更强,并能大幅度降低工程造价,节省岸线资源.     

港口机械设备管理"一二三四五工作法"

以提高"设备综合效率"为中心,建立健全设备管理体制,全员参与,鼓励创新,培养骨干,落实责任,根据设备的重要性和使用频繁程度等具体情况,灵活运用主动维护、总成互换、预防维修、视情维修等方法,确保港机设备正常运行.     

美国西海岸港口作业集装箱分析

分析美国西海岸集装箱港口作业集装箱的情况.这些港口承担大部分我国与美国贸易货物的集装箱运输,对我国外贸和集装箱运输发展有很大的影响.     

船舶操纵模拟器上海洋山港港区三维视景仿真

针对船舶操纵模拟中的三维视景仿真的特点,开展船舶操纵模拟器中关于上海洋山港港区三维视景仿真的研究。以Google Earth提供的电子地形图像为基础,经过等高线和矢量化方法的处理,生成数字高程模型(Digital Elevation Model,DEM),并利用Multigen Creator建立直观的上海洋山港港区三维地形模型,再利用Vega的三维视景渲染功能对其进行渲染和驱动。根据该方法建立的上海洋山港港区三维视景模型库在模型精细度、逼真度和实时运算等方面,都能满足船员实操练习所需的条件。     

进气道滚流比对发动机充气模型精度影响的试验研究

进气道结构是决定发动机缸内气体滚流强度的主要因素。针对一款直列四缸1.2 L增压直喷、DVVT汽油机,通过试验的方法,研究了发动机不同转速、负荷工况下,进气道滚流比参数对发动机进气状态和燃烧过程的影响,并对比了不同滚流比情况下的汽油机充气模型精度。研究结果表明,进气道滚流比对发动机的进气状态有显著影响。针对相同的ECU标定数据,滚流比的改变会造成充气模型精度较为明显的偏差。     

动力锂电池与电力推进船舶发展分析

文章通过对主要类型锂离子电池技术指标和特性进行梳理,研究了锂离子电池的热管理技术、安全性、火灾消防技术等应用重点环节的技术要点,分析了锂电池在船舶动力系统中的作用及全电池动力系统和混合动力系统的技术特点,为应用锂电池的新能源船舶研发提供参考。最后介绍了目前国内外应用储能电池动力船舶的多个典型案例,简要阐述了各个案例中的船舶核心参数和主要特点,总结了当前电池动力船舶的主要应用船型、锂电池类型、应用市场及政策、规范现状,认为锂电池动力船舶的发展前景光明,但在相关政策和船舶规范研究方面尚需进一步完善。     

加强航海人员VTS意识的必要性

文中首先阐述了VTS的重要性,为进一步发挥VTS作用,提出了加强航海人员VTS意识的必要性,并结合案例进一步论证航海人员VTS意识的重要性,最后结合国际公约及国家的相关规则,对现有航海人员的培训提出细化及增添的建议,提出了通过岸基管理、航海人员的培训及港口国监督等方法来提升航海人员的VTS意识。     

An operational activity-based method to estimate CO2 emissions from container shipping considering empty container repositioning

This paper develops an operational activity-based method to estimate CO₂ emissions from container shipping in contrasts to the traditional aggregated activity-based method. Two case studies investigate the impacts of empty container repositioning policies and port handling capacity on CO₂ emission index. The results show that the aggregated method could well overestimate CO₂ emissions and the operational activity-based method is more appropriate. The paper also demonstrates that high port-handling capacity and efficient empty container repositioning could reduce CO₂ emissions in seaborne container transportation.     

Evaluating the effects of green port policy: Case study of Kaohsiung harbor in Taiwan

The paper evaluates the effectiveness of strategies designed to reduce these pollutants in port areas, based on a newly developed assessment model to calculate emissions. The case study found that the strategy of reducing the ship’s speed to 12 knots is most effective in cutting fuel consumption and costs, as well as emissions. Adopting an onshore power supply system could reduce CO₂ emission by 57.16% and PM by 39.4%. By adopting the strategies of both reduced speed and cold ironing emissions control, a reduction in emissions of 71% to 91% can be achieved with a 20 nautical mile reduced speed zone. Therefore, the goals of reductions in emissions to improve port areas air quality could be achieved through adopting a green port policy in the future.     

Predictive power of inspection outcomes for future shipping accidents – an empirical appraisal with special attention for human factor aspects

This paper investigates whether deficiencies detected during port state control (PSC) inspections have predictive power for future accident risk, in addition to other vessel-specific risk factors like ship type, age, size, flag, and owner. The empirical analysis links accidents to past inspection outcomes and is based on data from all around the globe of PSC regimes using harmonized deficiency codes. These codes are aggregated into eight groups related to human factor aspects like crew qualifications, working and living conditions, and fatigue and safety management. This information is integrated by principal components into a single overall deficiency index, which is related to future accident risk by means of logit models. The factor by which accident risk increases for vessels with above average compared to below average deficiency scores is about 6 for total loss, 2 for very serious, 1.5 for serious, and 1.3 for less-serious accidents. Relations between deficiency scores and accident risk are presented in graphical format. The results may be of interest to PSC authorities for targeting inspection areas, to maritime administrations for improving asset allocation based on prediction scenarios connected with vessel traffic data, and to maritime insurers for refining their premium strategies.