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An optimization model of energy and transportation systems: Assessing the high-speed rail impacts in the United States

机译:能源和交通运输系统的优化模型:评估美国的高铁影响

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This paper presents a long-term investment planning model that co-optimizes infrastructure investments and operations across transportation and electric infrastructure systems for meeting the energy and transportation needs in the United States. The developed passenger transportation model is integrated within the modeling framework of a National Long-term Energy and Transportation Planning (NETPLAN) software, and the model is applied to investigate the impact of high-speed rail (HSR) investments on interstate passenger transportation portfolio, fuel and electricity consumption, and 40-year cost and carbon dioxide (CO2) emissions. The results show that there are feasible scenarios under which significant HSR penetration can be achieved,, leading to reasonable decrease in national long-term CO2 emissions and costs. At higher HSR penetration of approximately 30% relative to no HSR in the portfolio promises a 40-year cost savings of up to $0.63 T, gasoline and jet fuel consumption reduction of up to 34% for interstate passenger trip's, CO2 emissions reduction by about 0.8 billion short tons, and increased resilience against petroleum price shocks. Additionally, sensitivity studies with respect to light-duty vehicle mode share reveal that in order to realize such long-term cost and emission benefits, a change in the passenger mode choice is essential to ensure higher ridership for HSR. (C) 2015 Elsevier Ltd. All rights reserved.
机译:本文提出了一个长期投资计划模型,该模型共同优化了运输和电力基础设施系统的基础设施投资和运营,以满足美国的能源和运输需求。已开发的旅客运输模型已集成到国家长期能源和运输计划(NETPLAN)软件的建模框架中,并且该模型用于调查高铁(HSR)投资对州际旅客运输产品组合的影响,燃料和电力消耗,以及40年的成本和二氧化碳(CO2)排放量。结果表明,存在可行的方案,在这些方案下,可以实现高铁的大量渗透,从而合理地降低了国家的长期二氧化碳排放量和成本。高铁渗透率相对于投资组合中没有高铁约为30%,这将保证40年的成本节省高达$ 0.63 T,州际旅客旅行的汽油和喷气燃料消耗最多减少34%,CO2排放量减少约0.8十亿短吨,并增强了抵御石油价格冲击的能力。此外,关于轻型车辆模式份额的敏感性研究表明,为了实现这种长期成本和排放收益,改变乘客模式选择对于确保更高的高铁乘客率至关重要。 (C)2015 Elsevier Ltd.保留所有权利。

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