海上集装箱港口电气化能力规划与投资

Ekaterina M. Forkin, Carter A. Paulen, Matthew J. Swierczewski, Tanushri Roy, T. D. Costello, Davis C. Loose, Joi Y. Williams, David L. Slutzky, Thomas L. Polmateer, Karen Jackson, Daniel C. Hendrickson, J. Lambert
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引用次数: 0

摘要

集装箱港口面临着对各种新兴技术的投资决策,包括电动汽车、自动驾驶设备和氢基电力。本文利用仿真软件对某港口进行了基于仿真的优化研究,以减少海运集装箱港口的碳排放,提高港口的运营效率。通过容量规划和电气化建模,为港口提供了建议,这些建议将用于3-5年的规划,重点是减少排放和提高能源利用率。研究重点是减少运营排放、现有港口模拟以及新兴技术,包括电动汽车、液化天然气、氢能源。该方法包括通过仿真软件对港口的较小部分进行建模。用例扩展到各种形式的设备和车辆。碳排放也有代表。这些模型允许模拟设备变化的影响,并观察由此产生的财务和时间成本。还讨论了关于充电器数量和额外购买车辆数量的建议。用例还允许根据燃油时间和维护要求,在考虑到财务限制的情况下,确定向电动汽车的有益扩展。初步结果显示,在向重型港口机械电气化和摆脱柴油动力设备过渡方面,在环境和经济方面都有积极的潜力。本研究的结果强调了使用基于模拟的优化来提高海运集装箱港口运营的可持续性并减少其总体碳足迹的前景。
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Capacity Planning and Investment for Electrification of Maritime Container Ports
Container ports face the decision of investment into a variety of emerging technologies, including electric vehicles, autonomous equipment, and hydrogen-based power. This research paper presents a simulation-based optimization study of a port using simulation software to reduce carbon emissions and improve efficiency of operations of a maritime container port. Through capacity planning and electrification modeling, the port was provided with recommendations that will be used for 3-5 year-out planning focused on decreasing emissions and improving energy utilization. Research focused on reduction of operational emissions, existing simulations of ports, and emerging technologies including electric vehicles, liquid natural gas, hydrogen power. The methodology included modeling smaller sections of the port through simulation software. Use cases were extended to various forms of equipment and vehicles.Carbon emissions were also represented. These models allowed for the simulation of the effect of the changes in equipment and observation of resulting financial and time costs. Recommendations for the number of chargers and the number of additional vehicles to be purchased were also discussed. Use cases also allowed for the identification of beneficial expansion into electric vehicles according to fuel times and maintenance requirements, with consideration of financial constraints. Preliminary results revealed positive potential, both environmentally and economically, in regard to the transition towards electrification of heavy-duty port machinery and away from diesel-powered equipment. The findings of this study highlight the prospect of using simulation-based optimization to improve the sustainability of operations of the maritime container port and to reduce their overall carbon footprint.
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