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A SIMULATION-BASED DECISION SUPPORT TOOL FOR ARCTIC TRANSIT TRANSPORT

机译:基于仿真的北极运输决策支持工具

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The Russian Federation attempts to foster the Northern Sea Route (NSR) as a transport alternative to the current Suez Canal Route (SCR). Therefore, this paper seeks to identify under which conditions the use of the NSR is economically feasible. To evaluate this in a realistic way it is essential to take the significant uncertainty of input variables like ice data predictions into account. For that reason a simulation-based decision-support (SBDS)-tool based on a discrete-event simulation model is developed. The SBDS-tool requires as input vessel dimensions, available power and information about the route(s) including waypoints and ice data. It calculates then the general performance of the vessel in both open water and ice. Next it generates day-specific ice conditions according to a probability distribution between lower and upper limit obtained from satellite measurements. Based on this and the previously calculated vessels' performance the SBDS-tool calculates day-specific transit times and fuel consumptions for examined time period. This is then used as input for a discrete-event simulation to assess the number of roundtrips, transported cargo and fuel consumption for joint use of different routes, dependent on the predefined operational days along the routes. The obtained results are then used to calculate the cost per transported cargo unit between two ports and to assess the sensitivity in order to determine if an economically advantageous and robust transport system can be achieved. In addition, possible economy of scale effects using larger vessels can be evaluated. In order to show the applicability of the developed model a comparative case study for three container vessels operating between Rotterdam (NL) and Yokohama (JP) is carried out.
机译:俄罗斯联邦试图发展北海航线(NSR),以替代目前的苏伊士运河航线(SCR)。因此,本文试图确定在何种条件下使用NSR在经济上是可行的。为了以现实的方式对此进行评估,必须考虑到输入变量(例如冰数据预测)的显着不确定性。因此,开发了基于离散事件仿真模型的基于仿真的决策支持(SBDS)工具。 SBDS工具需要输入船只尺寸,可用功率和有关路线的信息(包括航点和冰数据)作为输入。然后,它计算了容器在开阔水域和冰中的总体性能。接下来,它根据从卫星测量获得的上下限之间的概率分布,生成特定日期的冰情。基于此和先前计算的船舶性能,SBDS工具可以计算特定时段的特定运输时间和燃料消耗。然后,将其用作离散事件模拟的输入,以评估沿路线的预定义运营天数来确定联合使用不同路线的往返次数,运输的货物和燃油消耗。然后将获得的结果用于计算两个港口之间每个运输的货物单位的成本,并评估灵敏度,以确定是否可以实现经济上有利且健壮的运输系统。此外,可以评估使用较大容器产生的规模效应的经济性。为了显示所开发模型的适用性,针对在鹿特丹(NL)和横滨(JP)之间运行的三艘集装箱船进行了比较案例研究。

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