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首页> 外文期刊>Applied Energy >Assessment of alternative fuel and powertrain transit bus options using real-world operations data: Life-cycle fuel and emissions modeling
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Assessment of alternative fuel and powertrain transit bus options using real-world operations data: Life-cycle fuel and emissions modeling

机译:使用实际操作数据评估替代燃料和动力总成公交车的选择:生命周期燃料和排放模型

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Hybrid and electric powertrains and alternative fuels (e.g., compressed natural gas (CNG), biodiesel, or hydrogen) can often reduce energy consumption and emissions from transit bus operations relative to conventional diesel. However, the magnitude of these energy and emissions savings can vary significantly, due to local conditions and transit operating characteristics. This paper introduces the transit Fuel and Emissions Calculator (FEC), a mode-based life-cycle emissions modeling tool for transit bus and rail technologies that compares the performance of multiple alternative fuels and powertrains across a range of operational characteristics and conditions. The purpose of the FEC is to provide a practical, yet technically sophisticated tool for regulatory agencies and policy analysts in assessing transit fleet options. The FEC's modal modeling approach estimates emissions as a function of engine load, which in turn is a function of transit service parameters, including duty cycle (idling and speed-acceleration profile), road grade, and passenger loading. This approach allows for customized assessments that account for local conditions. Direct emissions estimates are derived from the scaled tractive power (STP) operating mode bins and emissions factors employed in the U.S. EPA's MOVES (Motor Vehicle Emissions Simulator) model. Life-cycle emissions estimates are calculated using emissions factors from the GREET (Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation) model. The case study presented in this paper applies the FEC to second-by-second GPS position data collected from buses operating in metropolitan Atlanta, GA. These operations, from two different transit agencies, feature distinctly different transit service types: local transit bus operations and longer-distance express bus operations. The results illustrate that the decision as to which bus technology-fuel combination produces the least greenhouse gas emissions is a function of location and route characteristics. For the express bus operations monitored, the case study shows that CNG vehicles offer greater emissions reductions than Biodiesel (B20). For local bus services, battery electric buses show the greatest emissions savings in the fuel cycle, as long as range limitations can be met for the specific routes. The amount of these emissions savings is, however, highly dependent on the power generation mix. Among CNG, B20, parallel hybrid, series hybrid, and fuel cell buses, the least emitting option varies by location, due to complex interactions of factors such as duty cycle, meteorology, and terrain. (C) 2015 Elsevier Ltd. All rights reserved.
机译:混合动力和电动动力总成以及替代燃料(例如,压缩天然气(CNG),生物柴油或氢气)通常可以相对于传统柴油减少交通运输中的能源消耗和排放。但是,由于当地条件和公交运行特性的不同,这些节能减排的幅度可能会有很大的不同。本文介绍了运输燃料和排放计算器(FEC),这是一种基于模式的生命周期排放建模工具,适用于运输公共汽车和铁路技术,该工具在多种运行特性和条件下比较了多种代用燃料和动力总成的性能。 FEC的目的是为监管机构和政策分析人员提供评估实用的,实用的工具,以评估过境车队的方案。 FEC的模态建模方法根据发动机负荷估算排放,而发动机负荷又是运输服务参数的函数,包括占空比(怠速和速度-加速度曲线),道路坡度和乘客负荷。这种方法允许针对当地情况进行定制评估。直接排放估算值是根据美国EPA的MOVES(机动车排放模拟器)模型中采用的比例牵引功率(STP)操作模式箱和排放因子得出的。使用GREET(温室气体,管制排放和运输中的能源使用)模型中的排放因子来计算生命周期排放估算值。本文介绍的案例研究将FEC应用于从佐治亚州亚特兰大市的公交车上收集的秒秒GPS位置数据。这些来自两个不同公交机构的运营具有明显不同的公交服务类型:本地公交公交运营和长途快速公交运营。结果表明,决定哪种公交车技术与燃料的组合产生最少的温室气体排放是位置和路线特征的函数。案例研究表明,对于受监控的快速公交运营,CNG车辆的排放量要比生物柴油(B20)更大。对于本地公交车服务,只要能满足特定路线的行驶里程限制,电池电动公交车就可以最大程度地节省燃油循环中的排放。但是,这些节省的排放量在很大程度上取决于发电组合。在CNG,B20,并联混合动力,串联混合动力和燃料电池公共汽车中,由于诸如占空比,气象和地形等因素的复杂相互作用,排放最少的选项随位置而变化。 (C)2015 Elsevier Ltd.保留所有权利。

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