National Energy and Transportation Systems: Interdependencies within a Long Term Planning Model

Eduardo Ibanez, J. McCalley, D. Aliprantis, Robert C. Brown, Konstantina Gkritza, Arun K. Somani, Lizhi Wang
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引用次数: 23

Abstract

The most significant energy consuming infrastructures and the greatest contributors to greenhouse gases for any nation today are electric and freight/passenger transportation systems. Technological alternatives for producing, transporting, and converting energy for electric and transportation systems are numerous. Addressing costs, sustainability, and resiliency of electric and transportation needs requires long-term assessment since these capital-intensive infrastructures take years to build with lifetimes approaching a century. Yet, the advent of electrically driven transportation, including cars, trucks, and trains, creates potential interdependencies between the two infrastructures that may be both problematic and beneficial. We are developing modeling capability to perform long-term electric and transportation infrastructure design at a national level, accounting for their interdependencies. The approach combines network flow modeling with a multiobjective solution method. We describe and compare it to the state of the art in energy planning models. An example is presented to illustrate important features of this new approach.
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国家能源和运输系统:长期规划模式中的相互依赖关系
今天,对任何一个国家来说,最重要的能源消耗基础设施和最大的温室气体排放源是电力和货运/客运系统。为电力和交通系统生产、运输和转换能源的替代技术有很多。解决电力和交通需求的成本、可持续性和弹性问题需要进行长期评估,因为这些资本密集型基础设施的建设需要数年时间,使用寿命接近一个世纪。然而,电动交通工具的出现,包括汽车、卡车和火车,在这两种基础设施之间创造了潜在的相互依赖关系,这可能既是问题,也是有益的。我们正在开发建模能力,以便在国家层面上执行长期的电力和交通基础设施设计,并考虑到它们的相互依赖性。该方法将网络流建模与多目标求解方法相结合。我们对其进行了描述,并将其与最先进的能源规划模型进行了比较。给出了一个例子来说明这种新方法的重要特点。
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