A field evaluation case study of the environmental and energy impacts of traffic calming

This study quantifies the energy and environmental impact of a selection of traffic calming measures using a combination of second-by-second floating-car global positioning system data and microscopic energy and emission models. It finds that traffic calming may result in negative impacts on vehicle fuel consumption and emission rates if drivers exert aggressive acceleration levels to speed up to their journeys. Consequently by eliminating sharp acceleration maneuvers significant savings in vehicle fuel consumption and emission rates are achievable through driver education. The study also demonstrates that high emitting vehicles produce CO emissions that are up to 25 times higher than normal vehicle emission levels while low emitting vehicles produce emissions that are 15–35% of normal vehicles. The relative increases in vehicle fuel consumption and emission levels associated with the sample traffic calming measures are consistent and similar for normal, low, and high emitting vehicles.     

VMT, energy consumption, and GHG emissions forecasting for passenger transportation

Globalization, greenhouse gas emissions and energy concerns, emerging vehicle technologies, and improved statistical modeling capabilities make the present moment an opportune time to revisit aggregate vehicle miles traveled (VMT), energy consumption, and greenhouse gas (GHG) emissions forecasting for passenger transportation. Using panel data for the 48 continental states during the period 1998-2008, the authors develop simultaneous equation models for predicting VMT on different road functional classes and examine how different technological solutions and changes in fuel prices can affect passenger VMT. Moreover, a random coefficient panel data model is developed to estimate the influence of various factors (such as demographics, socioeconomic variables, fuel tax, and capacity) on the total amount of passenger VMT in the United States. To assess the influence of each significant factor on VMT, elasticities are estimated. Further, the authors investigate the effect of different policies governing fuel tax and population density on future energy consumption and GHG emissions. The presented methodology and estimation results can assist transportation planners and policy-makers in determining future energy and transportation infrastructure investment needs.     

基于两级温差发电的船舶废热回收试验研究

对于船舶柴油机而言,其所做功的30%都以废热的形式随尾气排放到了大气中。利用温差发电(TEG)技术回收船舶余热进行发电具有极其广阔的发展前景。因此提出了一种利用船舶柴油机尾气废热进行两级温差发电的新型装置。在对两级温差发电系统进行建模后,搭建了两级温差发电装置并进行了测试。理论分析和实验结果表明该装置利用温差发电技术对船舶余热回收是可行的。当热端温度达到473 K时,该温差发电实验装置可输出功率250 W,系统热效率为5.35％,相比单级TEG在相同条件下4.04％的热效率,该系统提高了32％。最后,对系统优化和装置的进一步改进进行了探讨。     

取水工程对港内水流条件及泥沙回淤的影响

针对取水工程对港池内水流及泥沙影响问题,以黄骅港综合港区港池取水工程为例,通过在分析工程区域自然条件和泥沙条件的基础上建立三维数学模型的方法,从潮流、泥沙角度分析各取水方案对港池内水流条件和泥沙回淤的影响。结果表明:取水工程实施后整个港池内流速均不大,除取水口外,流速均在0.1 m/s以下。取水工程不会造成周边水域泥沙场的改变,对进港航道及港池淤积影响不大。取水工程实施后在设计最大取水流量范围内不会影响港口的正常运行。     

洋山深水港西港区岸线功能规划调整

为满足洋山深水港生产营运需要,有关部门希望保留颗珠山—蒋公柱潮流汊道,这与总体规划布置不一致。为此需进行深水港西港区岸线功能规划调整研究。考虑到汊道的颗珠山一侧潮流具有岬角绕流型特点,而蒋公柱一侧有岬角环抱型特点;在此认识基础上针对多种岸线方案进行试验。试验结果表明,采用岸线优化方案后,可以保持甚至改善汊道内和已建港区潮流条件。从水流角度看,采取合理的岸线布置和适当的工程措施后,保留和开发利用颗珠山—蒋公柱潮流汊道是可行的。     

智能船舶发展现状及我国发展策略研究

近年来,智能船舶的发展呈加速趋势,智能船舶已成为未来船舶发展的主要方向.本文对当前国内外智能船舶发展现状进行系统梳理与比较分析,为我国智能船舶的发展提出若干建议.     

大型蓄电池修复装置的信号调理技术研究

为提高大型铅酸落后蓄电池修复装置的控制性能和修复效果,分析了蓄电池修复装置的布局特点,研究修复装置信号调理系统,设计了信号调理系统的各组成模块,应用信号调理工控机及数据采集卡模块,集成了先进、有效的大型蓄电池修复装置信号调理系统,为蓄电池修复装置提高电池的容量,发挥修复效果奠定基础。     

侧向风下航母甲板风涡流场的模拟研究

采用低马赫数假设下的气流运动控制方程组和湍流大涡模拟方法,研究在侧向来风条件下,航母甲板风涡流场的特点。在侧向来风时,航母前部甲板上方压强时均值、变化幅度与周期差异不大;后部甲板上方压强时均值较前半部分略有增加,变化幅度和周期均有所增大。     

潮流泥沙数值模拟在潍坊港规划中的应用

将潮流泥沙数学模型应用于潍坊港总体规划方案比选研究。采用MIKE21软件建立潍坊港二维潮流泥沙数学模型,对总体规划的各项方案进行水流、地形冲淤、航道回淤等方面的数值计算,并进行方案间的比较分析。研究结果表明,各方案工程实施后流场无明显差别,周边地形冲淤变化不大且差别较小;航道回淤是该区域规划方案选择的关键因素,整体发展方案明显优于分离式方案;经多方面考虑离岸岛堤式方案尚不可行。     

新能源汽车充电用户行为大数据分析及应用

随着新能源汽车行业快速发展,电动汽车充电功能及安全问题受到广泛关注。结合新能源汽车充电大数据可视化系统,从用户类型、车辆类型、充电方式、地域分布维度进行交叉分析,洞察用户充电行为统计分布规律;通过数据分析驱动充电安全设计,并结合数据资源和大数据分析技术,挖掘数据背后蕴藏的丰富价值,以改善当前新能源汽车充电问题和促进新能源汽车产业发展。