太阳能光伏发电技术在交通运输业的应用

分析了我国太阳能光伏发电技术的现状及其价格趋势,基于太阳能光伏发电技术的特点,详细分析了其在交通运输领域应用的巨大潜力。     

分布式光伏发电在高速公路收费站的应用

文章依托广西南宁五塘收费站管理区安装分布式太阳能光伏发电项目,探讨高速公路收费站应用分布式太阳能光伏发电的建设流程与运行模式,并通过验证发电效率、转换效率等关键指标,分析高速公路收费站应用分布式太阳能光伏发电的经济效益、存在的风险及保障措施,研究其推广应用的可行性。     

一种太阳能冰箱

权利要求 1.一种太阳能冰箱,包括有冰箱本体,其特征在于: 所述冰箱本体的正面壁板、侧面壁板、顶面壁板和背面壁板分别设置有太阳能光伏板. 所述冰箱本体的背面壁板设置的太阳能光伏板至少包括有两组太阳能光伏板组,所述太阳能光伏板组包括有第一太阳能光伏板和与所述第一太阳能光伏板折叠设置或者平行设置的第二太阳能光伏板.     

太阳能光伏发电储能控制研究

本文首先介绍了太阳能光伏发电储能技术中存在的主要问题,研究了太阳能光伏发电储能控制技术的应用对策,主要从构建智能管控系统、改进优化储能技术、转变储能控制路径几方面展开详细论述,最后解析了优化太阳能光伏发电储能控制技术的主要路径,针对我国当前正在推行的分布式光伏发电项目进行了深入分析,以期能够为相关人员提供参考。     

一种太阳能遮阳伞

权利要求 1.一种太阳能遮阳伞,包括有伞面、伞骨架和伞杆,所述伞面设置于所述伞骨架的上方,所述伞杆设置于所述伞骨架的下方,其特征在于:所述伞面设置有太阳能光伏板,所述伞杆设置有风扇,所述风扇通过风扇座设置于所述伞杆,所述太阳能遮阳伞设置有光伏控制装置,所述光伏控制装置外壳的上端与所述伞骨架可拆卸式连接,所述光伏控制装置外壳的下端与所述伞杆可拆卸式连接,所述光伏控制装置的输入端与所述太阳能光伏板电连接,所述光伏控制装置的输出端与所述风扇电连接.     

一种分体式便携光伏电源

权利要求 1.一种分体式便携光伏电源,其特征在于:包括光伏组件、充电模块、移动电源模块和固定光伏组件的支撑架,充电模块通过连接线分别与光伏组件和移动电源模块相连,光伏组件产生的电能通过充电模块储存在移动电源模块中,然后通过移动电源模块或者直接通过充电模块为负载提供所需的电压;所述光伏组件包括太阳能电池板,以及固定安装在太阳能电池板四周的边框,所述边框为ABS材质.     

在线检测太阳能光伏电池组件参数的系统及检测方法

权利要求1.一种在线检测太阳能光伏电池组件参数的系统,其特征在于,其包括多个太阳能光伏电池组件参数检测单元和一个基站数据处理单元,太阳能光伏电池组件参数检测单元集成了自可变负载电路、隔离驱动电路、第一无线收发电路、高速AD转换电路、存储器和微处理器,自可变负载电路、隔离驱动电路、第一无线收发电路、高速AD转换电路、存储器都与微处理器连接;基站数据处理单元包括第二无线收发电路和主控设备。     

光伏发电并网及其相关技术发展现状与展望

随着气候变化和能源安全等全球性问题不断凸显,可再生能源已经成为世界各国能源政策的重要组成部分。在所有可再生能源中,太阳能光伏发电作为一种清洁、可持续的能源形式,正在迅速崛起并成为解决能源问题的关键所在。本文将探讨光伏发电并网及其相关技术的现状与未来展望,以期更好地理解和把握该领域的发展趋势。     

广州市离网分布式太阳能候车亭示范工程

1.项目先进性和技术成熟度评价
　　太阳能候车亭可实现候车亭灯箱的太阳能供电,太阳能候车亭是一个解决供电、布线的很好方法,项目中应用的技术均具有较好的成熟性,且已在其它行业有较广泛的应用。     

他山之石:国外公路建设的能源利用

正从1904年爱因斯坦发现光电效应,到1954年诞生的世界首块太阳能电池,再到逐渐普及的光伏发电,已经历了一个多世纪的发展应用。同时,世界公路史在这段历史中也不断蜕变,公路网络将空间距离的时间效率不断增强。2016年底,济南通车的一段光伏高速路面聚集了全世界的焦点,而清洁能源在公路建设中的应用早有先例。请随记者一并探寻这些"新能源公路"。瑞士:首个太阳能声屏障系统     

About the possibilities of using the renewable energy power sources on railway transport

Several electrification systems based on renewable energy power sources (first of all, solar energy) are discussed in respect to their applicability to railway transport and, in particular, to suburban electric trains. Two systems are considered with basic technical details and economic estimation, both including the onboard bank of batteries and the photovoltaic converters (PVC) of solar energy for compensation of energy expenses, which could be positioned either on stations or on wagon's roofs. Sun‐tracking systems and their effect on the solar energy conversion efficiency are discussed in application to stationary and moving PVC platforms. An analysis made shows that introduction of the “green” systems discussed will not only have positive ecological impact, but also can bring a notable economical effect even with today's components, while it could be considerably greater with the usage of new PVCs, which are being developed by the authors. Copyright © 2011 John Wiley & Sons, Ltd.     

Reducing CO2 emissions of conventional fuel cars by vehicle photovoltaic roofs

The European Union has adopted a range of policies aiming at reducing greenhouse gas emissions from road transport, including setting binding targets for tailpipe CO₂ emissions for new light-duty fleets. The legislative framework for implementing such targets allows taking into account the CO₂ savings from innovative technologies that cannot be adequately quantified by the standard test cycle CO₂ measurement. This paper presents a methodology to define the average productivity of vehicle-mounted photovoltaic roofs and to quantify the resulting CO₂ benefits for conventional combustion engine-powered passenger cars in the European Union. The method relies on the analysis of a large dataset of vehicles activity data, i.e. urban driving patterns acquired with GPS systems, combined with an assessment of the shading effect from physical obstacles and indoor parking. The results show that on average the vehicle photovoltaic roof receives 58% of the available solar radiation in real-world conditions, making it possible to reduce CO₂ emissions from passenger cars in a range from 1% to 3%, assuming a storage capacity of 20% of the 12 V battery dedicated to solar energy. This methodology can be applied to other vehicles types, such as light and heavy-duty, as well as to different powertrain configurations, such as hybrid and full electric.     

Smart charging management for shared autonomous electric vehicle fleets: A Puget Sound case study

Increasingly, experts are forecasting the future of transportation to be shared, autonomous and electric. As shared autonomous electric vehicle (SAEV) fleets roll out to the market, the electricity consumed by the fleet will have significant impacts on energy demand and, in turn, drive variation in energy cost and reliability, especially if the charging is unmanaged. This research proposes a smart charging (SC) framework to identify benefits of active SAEV charging management that strategically shifts electricity demand away from high-priced peak hours or towards renewable generation periods. Time of use (TOU), real time pricing (RTP), and solar generation electricity scenarios are tested using an agent-based simulation to study (1) the impact of battery capacity and charging infrastructure type on SAEV fleet performance and operational costs under SC management; (2) the cost reduction potential of SC considering energy price fluctuation, uncertainty, and seasonal variation; (3) the charging infrastructure requirements; and (4) the system efficiency of powering SAEVs with solar generation. A case study from the Puget Sound region demonstrates the proposed SC algorithm using trip patterns from the regional travel demand model and local energy prices. Results suggest that in the absence of electricity price signals, SAEV charging demand is likely to peak the evening, when regional electricity use patterns already indicate high demand. Under SC management, EVs with larger battery sizes are more responsive to low-electricity cost charging opportunities, and have greater potential to reduce total energy related costs (electricity plus charging infrastructure) for a SAEV fleet, especially under RTP structure.     

超级电容器对航标能源发展的影响

能源是社会和经济发展的重要物质基础,也是提升人们生活水平的先决条件。作为保障助航标志正常工作的重要动力,航标能源经历了从非电能源到电能能源的历史性演变。目前,航标能源的供电方式主要是太阳能电池+蓄电池的模式,但是太阳能电池板也存在着发电效率低,受气候环境因素影响大等诸多问题。     

A vehicle manufacturer's view of the potential for electric automobiles

In the search for low pollution, low noise, multi‐fuel vehicles capable of adapting to almost any source of energy available, the electric vehicle continues to be suggested in a variety of forms. In the long‐term view, working on the hypothesis that either solar or nuclear energy can provide the only inexhaustible energy supplies, electric propulsion will undoubtedly have a significant role to perform, and it could provide a useful means of transport in the transition period out of the current dependency on crude oil.

There are, however, some grave question marks hanging over the viability of electric vehicles on a large scale both in terms of their energy efficiency and practicality. This paper describes the state of development and discusses the future prospects.     

交通运输能耗与排放统计监测平台及应用研究

在我国交通运输行业节能减排的背景下,本文以交通运输行业能耗特点与统计监测方法为基础,建立涵盖了公路客运、公路货运、城市公交、城市出租、水路运输、港口生产等行业的能耗碳排统计监测系统,分析了省级交通运输能耗与排放特点,明确了能耗数据统计对象与内容,并对能耗数据采集的方法进行了研究,建立了省级交通运输能耗统计监测系统,并以辽宁省交通运输为依托,对全省交通运输行业能耗统计监测系统进行了验证与应用,同时也为交通运输行业的节能减排提供了决策支撑和数据支持。     

城市轨道交通给排水节能环保设计初探

结合城市轨道交通给排水节能环保设计的要求,详细阐述了轨道交通车站、车辆段与综合基地给排水系统环保节能设计的思路和措施,并介绍了太阳能利用及雨、废水回收利用的相关内容。     

Urban density and energy consumption: a new look at old statistics

There is growing concern about the negative environmental and energy effects caused by transportation systems and related land-use patterns. Travel and land-use are a function of one another, therefore it is often hypothesized that changing urban structure can result in changes in energy consumption. A popular view suggests that there is a strong negative correlation between urban density and energy consumption. This implies that increasing density will result in a reduction in energy consumption [Cities and Automobile Dependence: An International Sourcebook, Avebury Technical, Great Britain, 1989].Using Co-Plot, an innovative multivariate statistical technique, this research crystallizes some of the relationships between density and energy consumption in western cities. The method is applied on Newman and Kenworthy’s data, leading to the conclusion that there is no direct impact of total urban density. Instead several other relationships between energy consumption and density attributes can be identified.     

智能航标光伏发电系统设计探讨

文章介绍了干扰观测法、电导增量法、恒定电压跟踪法等3种太阳能电池最大功率点跟踪控制算法的基本原理,阐述了基于干扰观测理论的智能航标光伏发电系统最大功率点跟踪控制电路及其系统软件的设计程序。     

Low cost two dimension navigation using an augmented Kalman filter/Fast Orthogonal Search module for the integration of reduced inertial sensor system and Global Positioning System

Due to their complementary characteristics, Global Positioning System (GPS) is integrated with standalone navigation devices like odometers and inertial measurement units (IMU). Recently, intensive research has focused on utilizing Micro-Electro-Mechanical-System (MEMS) grade inertial sensors in the integration because of their low-cost. In this study, a low cost reduced inertial sensor system (RISS) is considered. It consists of a MEMS-grade gyroscope and the vehicle built-in odometer. The system works together with GPS to provide 2D navigation for land vehicles. With adequate accuracy, Kalman filter (KF) is the commonly used estimation technique to achieve the data fusion of GPS and inertial sensors in case of high-end IMUs. However, due to the inherent error characteristics of MEMS grade devices, MEMS-based RISS suffers from the non-stationary stochastic sensor errors and nonlinear inertial errors, which cannot be handled by KF and its linear error models. To overcome the problem, Fast Orthogonal Search (FOS), a nonlinear system identification technique, is suggested for modeling the higher order RISS errors. As a general-purpose numerical method, FOS algorithm has the ability to figure out the system nonlinearity efficiently with a tolerance of arbitrary stochastic system noise. Even using online short-term training data, this method is still able to build an accurate nonlinear model that predicts the system dynamics. Motivated by the above merits, an augmented KF/FOS module is proposed by cascading FOS algorithm to a traditional KF structure. By estimating and reducing both linear and nonlinear RISS errors, the proposed method is supposed to offer substantial enhancement on the positioning accuracy of MEMS-based RISS during GPS outages. In order to examine the effectiveness of the proposed technique, the KF/FOS module is applied on the low cost RISS together with GPS in a land vehicle for several road test trajectories. The performance of the proposed method is compared to KF-only solution, both assessed with respect to a reference offered by a high-end solution. The experimental results confirm that KF/FOS module outperforms KF-only method. The results also show the applicability of the proposed method for real-time vehicle applications.