A study of the environmental impacts of intelligent automated vehicle control at intersections via V2V and V2I communications

This article presents a novel intersection traffic management system for automated vehicles and quantifies its impact on fuel consumption and greenhouse gas emissions of CO₂ relative to traditional traffic signal and roundabout intersection control. The developed intelligent traffic management (ITM) techniques, which are based on a spatiotemporal reservation scheme, ensure that vehicles proceed through the intersection without colliding with other vehicles while at the same time reducing the intersection delay and environmental impacts. Specifically, the spatiotemporal reservation scheme provides each vehicle a collision-free path that is decomposed into a speed profile along with navigational instructions. The integration of the developed microscopic traffic simulator with instantaneous emission model, provides improved assessments of the environmental impact of traffic control strategies at intersections. The simulator architecture integrates several ITM algorithms, vehicle sensors, V2V/V2I communications, and emission and fuel consumption models. Each vehicle is modeled by an agent and each agent provides information depending on the specific vehicle sensors. The ITM system is supported by V2V and V2I communications, allowing the exchange of information among vehicles and infrastructure. The data include the estimated vehicle position and speed. Compared with traditional traffic management techniques, the simulation results prove that the proposed ITM system reduces CO₂ emissions significantly. The research also shows that these reductions are more significant when the traffic flow increases.     

城市交通能耗区的识别及等级划分方法研究

随着社会经济的发展，机动车保有量急剧增长，城市化过程中交通拥堵问题日趋严重，交通能源消耗加剧。为了降低由此带来的损失，需要及时探明路网中交通效率低、能耗高的区域，并采取有效的交通管理措施。通过研究交通状态与能耗的关系，进行相应的交通参数分析，建立能耗区识别及等级划分模型，计算得到3个等级能耗区的界定阈值分别为0．411和0．678。     

丰田燃料电池汽车Mirai技术分析

燃料电池汽车因具有零排放、续驶里程长、燃料加注快和噪声低等优势,引起了国内外汽车产商的广泛关注,将燃料电池新能源汽车作为研发的重点,并推出了一些量产的燃料电池汽车。基于丰田Mirai燃料电池汽车,对其技术原理和核心总成部件进行了综述分析,并对燃料电池汽车的发展方向和关键技术问题进行了思考和建议,为读者提供了有益的参考和借鉴。     

关于中速柴油机机油消耗率问题的探讨

阐述了中速柴油机机油消耗率的影响因素及针对这些因素可采取的降低机油消耗率的几点措施.     

国内燃料电池电堆技术进展综述

国际氢能与燃料电池汽车大会是国内燃料电池行业举办的国际一流的年度行业盛会,聚集全世界氢能与燃料电池技术的开发者、燃料电池汽车制造商、氢能燃料电池领域投资者和政府政策的制定者,携手促进氢能及燃料电池汽车的商业化发展。本文以第四届氢能与燃料电池汽车大会内容为基础,结合目前行业发展现状对国内燃料电池电堆、膜电极以及双极板的技术进展和发展趋势进行了简要阐述。     

城市轨道交通车辆能耗计量及管理系统

介绍了城市轨道交通车辆能耗计量及管理系统的结构、功能.城市轨道交通车辆能耗计量及管理系统采用六通道能耗计量装置和RFID(射频识别)列车定位技术,实现了对地铁车辆能耗的分类计量.建立GPRS(通用分组无线服务)无线传输数据机制和地铁车辆能耗管理平台,处理并存储能耗数据,自动生成曲线和统计报表,实现地铁车辆能耗信息化管理.该系统已在上海轨道交通1号线01A02车型上试点应用,基本功能已得到验证.     

A bi-objective dynamic programming approach for airline green fleet planning

Ensuring a fleet of green aircraft is a basic step in mitigating aviation pollution issues that are expected to be worsen in the coming years due to rapid air traffic growth. This study proposed a novel methodology in green fleet planning in which both profit and green performance of airline are considered simultaneously and explicitly. To do this, a Green Fleet Index (GFI) is derived as an indicator to quantify the green performance of airline’s fleet. It measures the degree of airline compliance with a standard requirement in terms of emission, noise, and fuel consumption. A bi-objective dynamic programming model is then formulated to find optimal aircraft acquisition (lease or purchase) decision by minimizing GFI and maximizing profit. Several interesting results are obtained: (1) considering environmental issue as secondary objective yields a greener fleet; (2) airline’s profit is affected, but could be recovered from environmental cost savings; (3) increasing load factor is an effective operational improvement strategy to enhance airline’s green performance and raise profit level. It is anticipated that the framework developed in this study could assist airlines to make a smart decision when considering the need to be green.     

Comparing rail fuel efficiency with truck and waterway

This paper presents a railroad energy efficiency model used to estimate the fuel economies for classes of trains transporting various commodities. Comparable procedures are used to estimate truck and waterway fuel consumption. The results show that coal unit trains are 4.5–5.0 times more energy efficient than movements in the largest trucks allowed in the eastern and western regions of the US, unit grain train movements in the central US are 4.6 times more fuel efficient, soda ash unit train and non-unit train shipments are 4.9 and 3.2 times more efficient, and ethanol unit train and non-unit train movements are 4.8 and 3.0 times more efficient. In terms of barge traffic, coal unit train and non-unit train are 1.3 and 0.9 times as energy efficient in the eastern US, grain unit train and non-unit train movements are 1.7 and 1.0 times more efficient from Minneapolis to the Gulf of Mexico, and grain unit train and non-unit train movements are 1.0 and 0.7 times more fuel efficient from the Upper Ohio River to the Gulf of Mexico.     

温度对旋转钻进破岩功耗的影响研究

岩石在常温、常压下的变形破坏理论已非常成熟，但随着钻探深度不断的增加，岩石将要面临高地温、高围压的环境，这些因素将直接影响钻进过程。通过研究旋转钻进过程中能量的传递转移，建立岩石破碎的简化模型，利用单位体积破岩能耗来探究温度对钻进过程的影响。研究结果表明:随着钻进深度的增加，在一定的围压作用下，温度升高而岩石的弹性模量却逐渐减小，压入深度随温度升高呈抛物线形上升，破岩功耗随温度呈曲线上升，并在经过阀值温度400℃后趋于平缓。     

Combustion development of a Bi-Fuel engine

Environmental improvement and energy issues are increasingly becoming more important as worldwide concerns. Natural gas is a good alternative fuel that can help to improve these issues because of its large quantity and clean burning characteristics. This paper provides the experimental performance results of a Bi-Fuel engine that uses Compressed Natural Gas as its Primary fuel and gasoline as its secondary fuel. This engine is a modification of the basic 1.4-liter gasoline engine. Generally, on the unmodified base engine, torque and power for CNG fuel are considerably lower than gasoline fuel. In this paper, the influence of fuels on wall temperature, performance and emissions are investigated.