Optimizing Hydrogen Fueling Infrastructure Plans on Freight Corridors for Heavy-Duty Fuel Cell Electric Vehicles

Adam Siekmann, V. Sujan, M. Uddin, Yuandong Liu, Fei Xie
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Abstract

The development of a future hydrogen energy economy will require the development of several hydrogen market and industry segments including a hydrogen-based commercial freight transportation ecosystem. For a sustainable freight transportation ecosystem, the supporting fueling infrastructure and the associated vehicle powertrains making use of hydrogen fuel will need to be co-established. This article introduces the OR-AGENT (Optimal Regional Architecture Generation for Electrified National Transportation) tool developed at the Oak Ridge National Laboratory, which has been used to optimize the hydrogen refueling infrastructure requirements on the I-75 corridor for heavy-duty (HD) fuel cell electric commercial vehicles (FCEV). This constraint-based optimization model considers existing fueling locations, regional-specific vehicle fuel economy and weight, vehicle origin and destination (O-D), and vehicle volume by class and infrastructure costs to characterize in-mission refueling requirements for a given freight corridor. The authors applied this framework to determine the ideal public access locations for hydrogen refueling (constrained by existing fueling stations), the minimal viable cost to deploy sufficient hydrogen fuel dispensers, and associated equipment, to accommodate a growing population of hydrogen fuel cell trucks. The framework discussed in this article can be expanded and applied to a larger interstate system, expanded regional corridor, or other transportation network. This article is the third in a series of papers that defined the model development to optimize a national hydrogen refueling infrastructure ecosystem for HD commercial vehicles.
优化重型燃料电池汽车货运通道氢燃料基础设施规划
未来氢能源经济的发展将需要几个氢市场和工业部门的发展,包括基于氢的商业货运生态系统。为了实现可持续的货运生态系统,需要共同建立配套的燃料基础设施和使用氢燃料的相关车辆动力系统。本文介绍了橡树岭国家实验室开发的OR-AGENT(电气化国家交通的最佳区域架构生成)工具,该工具已被用于优化I-75走廊上重型(HD)燃料电池电动商用车(FCEV)的氢燃料补充基础设施要求。这种基于约束的优化模型考虑了现有的加油地点、特定区域的车辆燃油经济性和重量、车辆起源地和目的地(O-D)、按类别和基础设施成本划分的车辆数量,以表征给定货运通道的任务加油需求。作者应用这一框架来确定理想的公共加氢地点(受现有加油站的限制),部署足够的氢燃料加油机和相关设备的最小可行成本,以适应不断增长的氢燃料电池卡车人口。本文讨论的框架可以扩展并应用于更大的州际系统,扩展的区域走廊或其他运输网络。本文是定义模型开发以优化HD商用车国家氢燃料基础设施生态系统的系列论文中的第三篇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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