Layout optimization of an inertial energy harvester for miniature underwater mooring platforms

Comprehensive analyses of the layout influence on power performance of a low-frequency miniature horizontal-pendulum-type inertial energy harvester for underwater mooring platforms are presented in this article. The mathematical models are obtained utilizing the Newton-Euler method. The power performance is evaluated by simulations over different parameters, such as damping, excitation frequency, and layout position. Simulation results indicate that the harvester can extract energy from low-frequency excitations over the range of 0.1 Hz–0.4 Hz, and maximum output power can reach to 0.7 W under excitation frequency f = 0.4 Hz. Different layout positions influence the energy harvesting performance of the harvester dramatically. Changing the layout position to positive value can enhance and broaden the power performance. The amplitude responses with different layout positions do not show resonant characteristics, even near the natural frequency of the harvester, due to large amplitude vibrations and strong nonlinear characteristic. As excitation frequency f = 0.4 Hz, there is a zero output power point appears at layout position d = −1.3 m. Moreover, the harnessed power has a quadratic relationship with the layout position value.     

Distributed MPC for cooperative highway driving and energy-economy validation via microscopic simulations

Traffic congestion and energy issues have set a high bar for current ground transportation systems. With advances in vehicular communication technologies, collaborations of connected vehicles have becoming a fundamental block to build automated highway transportation systems of high efficiency. This paper presents a distributed optimal control scheme that takes into account macroscopic traffic management and microscopic vehicle dynamics to achieve efficiently cooperative highway driving. Critical traffic information beyond the scope of human perception is obtained from connected vehicles downstream to establish necessary traffic management mitigating congestion. With backpropagating traffic management advice, a connected vehicle having an adjustment intention exchanges control-oriented information with immediately connected neighbors to establish potential cooperation consensus, and to generate cooperative control actions. To achieve this goal, a distributed model predictive control (DMPC) scheme is developed accounting for driving safety and efficiency. By coupling the states of collaborators in the optimization index, connected vehicles achieve fundamental highway maneuvers cooperatively and optimally. The performance of the distributed control scheme and the energy-saving potential of conducting such cooperation are tested in a mixed highway traffic environment by the means of microscopic simulations.     

Climate change behaviors related to purchase and use of personal cars: Development and validation of eco-socially conscious consumer behavior scale

A constantly changing environment and global warming are issues that are recognized at all global forums. One of the major reasons for global warming is the emission of greenhouse gasses which is primarily caused by use of personal cars as means of transport. This study reports on the development of an eco-socially conscious consumer behavior (ESCCB) scale specific to purchase and use of personal cars, based on samples of actual automobile customers in Pakistan. Using mixed method approaches, the results of 3 studies yield a 9-item three-dimensional scale (eco-social conservation, eco-social use, and eco-social purchase) with satisfactory reliability, construct validity and nomological validity. Second-order factor analysis revealed that eco-social purchase was the most important dimension, followed by eco-conservation and eco-social use. A test of nomological behavior shows that the scale is positively associated with a related construct: environmental concern. This study advances the literature on pro-environmental behaviors by introducing a conceptual definition of ESCCB related to personal car purchase and use, developing a measure for the ESCCB concept and validating the scale in the context of an emerging economy, Pakistan. The scale provides important insights for marketers in the automobile industry for remodelling marketing plans, as well as for environmentalists focusing on strategies to bring change in consumer behavior.     

公路工程的水土保持生态补偿

就公路工程中所遇到的环境问题,结合设计施工中的解决办法,阐述公路工程的水土保持生态补偿,从而减小因道路施工给沿线自然地形、地貌造成的各种破坏,保护和改善当地环境,提高公路的使用效果,更好地发挥公路的各项功能。     

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.     

基于层次分析法的交通运输节能减排示范项目绩效评价研究

交通运输是国家节能减排工作的重点领域,为促进交通运输节能减排技术发展,开展交通运输节能减排示范项目是政府部门一项重要的政策措施。对示范项目进行绩效评价工作能衡量财政资金投入政策实施效果,也是交通运输主管部门非常关注的问题。在交通运输节能减排示范项目绩效评价的逻辑框架下,运用层次分析法建立交通运输节能减排示范项目绩效评价指标体系及权重值,具有较好的实操性,能为开展同类型项目的绩效评价工作提供参考。     

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。     

浅析重卡新能源高压线束加工工艺

文章主要介绍的是重卡新能源高压线束工艺分解过程中,对于原材料选型、屏蔽层的处理以及导线对插接器防水性能的影响进行简单分析,简明扼要地阐述了高压线加工的难点,为线束工艺设计人员提供一些参考。     

汽车空调油耗试验分析及研究

汽车空调作为整车内部主要耗能附件,对用户实际使用油耗的影响巨大,有着很大的节能潜力。文章基于WLTC循环,采用不同试验方案,对多辆轻型车进行空调油耗,考察国内多款主流车型的空调油耗水平及空调制冷效果,验证压缩机排量和车辆前端密封导流对空调油耗的影响。结果表明:1)空调能耗占比较大,不容忽视,不同车辆的空调能耗占比总体分布在22%左右。2)多数车辆无法达到10min时头部平均温度达到23℃的要求,无法获得节能效果值。3)适当降低压缩机排量和增加车辆前端密封导流都具有一定的节油效果。     

影响人寿保险发展的因素与对策分析

分析了影响和制约我国寿险发展的经济因素、契约保全因素和理赔风险管理因素,提出了促进寿险健康发展的对策与措施.