成品油管输水力计算

将成品油管流摩阻因数计算公式分为适用于设计计算和适用于工况分析两类，提出立足于应用计算机，在整个紊流区用科尔布鲁克混合摩擦管公式计算的思想，并用它构建单油品输送和多油品顺序输送新型压能平衡方程，以提高计算精度和避免分区计算。     

能感受负载的节能液压系统

提高大中液压传动的效率日渐成为系统设计的主要目标。较理想的系统应有能力在任何情况下使油泵流量恰好满足负载变化要求，而油压仅比负载压力略高一较小值。这里所介绍的是一种能感受负载的液压系统的工作原理，这能时刻根据负载情况调整泵压和流量，达到上述要求，因此具有优良的节能效果和操作性能。     

燃料电池船舶复合供能系统控制策略设计与仿真

针对燃料电池船舶复合供能系统中的燃料电池功率波动问题和储能单元电池荷电状态（State of Charge,SOC）极端分化问题,依据系统拓扑结构,提出基于负载功率频率分解与模糊逻辑控制法相结合的复合供能系统控制策略设计。采用实例仿真验证该设计的优势。结果表明,该设计可有效保持燃料电池输出功率平滑,对储能单元SOC具有良好的均衡控制效果。     

增压空气驱动LiBr吸收式制冷复合循环的热力性能分析

提出吸收式制冷复合循环新模式，讨论了复合循环的热力计算。单效／双效复合循环有高低压2个发生器，高压发生器由高温级热源驱动，低压发生器由来自高压发生器的冷剂蒸汽与低温级热源联合驱动，实现高低温级热源的能量梯级利用。作为实例，对由高低温两级增压空气中冷器驱动的单效／双效复合循环进行了热力计算，并与单效循环和双效循环进行了热力性能比较。结果表明，复合循环的热力系数和制冷量均比单效循环高出15％，复合循环的余热利用量和制冷量分别高出双效循环153％和110％。     

舰船综合电力推进监控系统研究

研究分析了舰船电力推进系统的发展历史及其特点。提出了舰船综合电力推进监控系统的二层网络体系结构。对主要子系统的功能进行了阐述,分析了系统的关键技术。指出由于综合电力推进系统在动力性、经济性、安全性以及灵活性等方面具有诸多明显的优势,它已成为21世纪舰船动力发展的主要方向。     

混合能源控制技术及应用

本文介绍了混合能源控制器的功能和特点,以及多种能源混合供电的工作流程,并对混合能源的典型应用场景进行分析说明.     

Consumer preferences for battery electric vehicles: A choice experimental survey in China

To accelerate the diffusion of battery electric vehicles (BEVs), consumer preferences for different products and policy attributes must be determined. Although previous studies have investigated consumer preferences for some product attributes, including purchase price, operation cost, driving range, and charging time, limited studies have discussed the broader aspects of product attributes, such as battery warranty and depreciation rate. Moreover, market-oriented incentives, including the personal carbon trading (PCT) scheme and the tradable driving credits (TDC) scheme, can theoretically be effective alternatives to expensive purchase subsidies. However, there is a lack of empirical evidence that confirms the influence of these two schemes on BEV adoption. To fill these gaps, we conducted a stated preference choice experimental survey in China and investigated the effect of product attributes, existing policy incentives, and two emerging market-oriented incentives on BEV adoption. Our results reveal that along with the main product attributes, battery warranty has a significant positive effect on inducing mainstream consumers to adopt BEVs while no preference difference occurs among existing policy incentives after purchase subsidies are abolished. For young consumers, almost all incentives that reduce the operation cost (e.g., PCT) or increase convenience (e.g., TDC) can increase their adoption of BEVs. These findings can provide important implications for the government with regard to designing novel incentives and promoting BEV adoption.     

统计能量法及其在提速客车噪声预测中的应用

为了预测提速客车内部噪声能量分布及噪声传递路径，用统计能量法对其进行了分析，讨论了统计能量法分析复杂振声系统的基本原理及稳态振声系统统计能量分析的基本方程．以唐山车辆厂提速客车为应用实例，获得了车内总的声功率在车底架、窗玻璃等主要传递路径上的能量分布，并给出了车窗双层玻璃不同厚度的高频响应以及车底架地板涂抹阻尼材料吸收低频声能的机理的治理措施。     

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.     

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.