Configuration of inter-city high-speed passenger transport infrastructure with minimal construction and operational energy consumption: A superstructure based modelling and optimization framework

Ruirui Zhang; Pei Liu; Chengchuan Zhou; Angelo Amorelli; Zheng Li

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Configuration of inter-city high-speed passenger transport infrastructure with minimal construction and operational energy consumption: A superstructure based modelling and optimization framework

机译：以最少的建筑和运营能耗配置城际高速客运基础设施：基于上层建筑的建模和优化框架

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摘要

Inter-city high-speed passenger transport, mainly aviation and high-speed railway, has been increasing around the world, in accordance with economic development and penetration of high-speed transport technologies. The energy consumption over the lifetime of transport infrastructure and operation is a significant factor at the planning stage. In this paper, we present a superstructure modelling and optimization framework of inter-city high-speed transport systems, accounting energy consumption during infrastructure construction and during subsequent operation, to optimize connections between large population centers and between modes of transport. Energy consumption during infrastructure construction is obtained from investment cost using lifecycle assessment. The first two cases considered differences between infrastructure construction and lifetime operation while the second case narrowed the study scope. Sensitivity analysis in the third case compared impacts of both transport means on system design. Model results have implications for actual high-speed transport technology development and infrastructure layout.

机译：随着经济发展和高速运输技术的普及，城际高速客运，主要是航空和高铁，在世界范围内正在增加。在规划阶段，运输基础设施和运营生命周期内的能耗是一个重要因素。在本文中，我们提出了城际高速运输系统的上层结构建模和优化框架，考虑了基础设施建设和后续运营期间的能耗，以优化大型人口中心之间和运输方式之间的联系。基础设施建设期间的能耗是使用生命周期评估从投资成本中获得的。前两个案例考虑了基础设施建设和终生运营之间的差异，而第二个案例缩小了研究范围。在第三种情况下的敏感性分析比较了两种运输方式对系统设计的影响。模型结果对实际的高速运输技术开发和基础设施布局有影响。

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来源
《Computers & Chemical Engineering》 |2016年第4期|87-100|共14页
作者
Ruirui Zhang; Pei Liu; Chengchuan Zhou; Angelo Amorelli; Zheng Li;
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作者单位

Tsinghua BP Clean Energy Research and Education Centre, State Key Laboratory of Power Systems, Department of Thermal Engineering, Tsinghua University, Beijing 100084, China;

Tsinghua BP Clean Energy Research and Education Centre, State Key Laboratory of Power Systems, Department of Thermal Engineering, Tsinghua University, Beijing 100084, China;

Duke University, Nicholas School of the Environment, Box 90328, Durham, NC 27708, United States;

BP, Centre of Expertise Applied Chemistry & Physics, Sunbury, UK;

Tsinghua BP Clean Energy Research and Education Centre, State Key Laboratory of Power Systems, Department of Thermal Engineering, Tsinghua University, Beijing 100084, China;

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正文语种 eng
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关键词
High-speed passenger transport; Construction energy consumption; Operational energy consumption; Superstructure; Mathematical programming optimization;

机译：高速客运;建筑能耗;运营能耗;上层建筑数学编程优化;

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3. Impact of Symmetric Vertical Sinusoid Alignments on Infrastructure Construction Costs: Optimizing Energy Consumption in Metropolitan Railway Lines Using Artificial Neural Networks [J] . J Pineda-Jaramillo, P. Salvador-Zuriaga, P. Martínez-Fernández, Urban Rail Transit . 2020,第3期

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4. Study and application of distribution ratios model of passenger flows in city group inter-city transportation structure configuration [C] . Peng Hui, Zongfang Xu, Yongqi Han, Proceedings of the 6th Advanced Forum on Transportation of China . 2010

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5. Multidisciplinary optimization of high-speed civil transport configurations using variable-complexity modeling. [D] . Hutchison, Matthew Gerry. 1993

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6. A system dynamics approach to scenario analysis for urban passenger transport energy consumption and CO2 emissions: A case study of Beijing [O] . Xue Liu, Shoufeng Ma, Junfang Tian, -1

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机译：基于城市间客运部门垄断竞争的新分析模型的发展^ ^ MDASH;考虑到环境税引入的影响^ ^ mdash;
8. A Parametric Model of Inter-City Passenger Transport [R] . Walmsley, D. A. 1979

机译：城际客运的参数化模型

Configuration of inter-city high-speed passenger transport infrastructure with minimal construction and operational energy consumption: A superstructure based modelling and optimization framework

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