双区电除尘器降低锅炉烟尘排放浓度

粉尘在传统结构的荷电区荷电之后,一部分尘粒被阳极板捕集,大部分带有正、负电荷的尘粒再分别被收尘区的管式辅助电极和阳极板捕集.模拟试验数据表明,收尘区具有高电压、低电流和板电流密度分布均匀的特性.工业性试验结果显示,应用双区电除尘技术设计或改造电除尘器,不仅可以较好地防止发生反电晕,而且能够将锅炉烟尘排放质量浓度降低到50 mg/m3以下.与传统的卧式电除尘器相比,还可节省10%左右的占地面积和钢材用量.     

1.5t、3t电弧炉烟尘治理

针对1.5 t、3 t电弧炉在烟尘治理时场地狭小的特点,采用可折叠式收尘罩与低压长袋脉冲袋式除尘器技术进行治理.测试表明,系统运行可靠,烟尘治理效果良好,工厂车间环境取得显著改善,岗位粉尘浓度、烟尘排放浓度均达到国家规定的标准.     

干旱对电力生产的影响

本文以１９９４年～１９９５年干旱对陕西省电力生产的影响为例，论述了干旱对电力生产的影响，在此基础上提出了相应的减灾对策．     

低压直流电托车的改造

分析了AC380伏电托车触电原因，介绍了低压直流电托车改造方案及运行效果。     

炼铁厂2#电除尘的设计与应用

新疆八一钢铁有限责任公司炼铁厂上料系统1^#转运站，1^#a转运站，2^#转运站及1^#、2^#高炉高道料仓在上料时，粉尘污染较为严重，为解决粉尘污染问题，1999年炼铁厂组织设计与施工了40m^2单室卧式3电场除尘器，工程投运后，收尘效果良好，岗位粉尘浓度与外排浓度均低于国家标准。     

Integrated energy management strategy of powertrain and cooling system for PHEV

ABSTRACT

Energy management strategy (EMS) is crucial in improving the fuel economy of plug-in hybrid electric vehicle (PHEV). Existing studies on EMS mostly manage powertrain and cooling system separately which cannot get the minimum total energy consumption. This paper aims to propose a novel EMS for a new type of dual-motor planetary-coupled PHEV, which considers cooling power demand and effect of temperature on fuel economy. Temperature-modified engine model, lithium-ion battery model, two motors, and cooling system models are established. Firstly, the separated EMS (S-EMS) is designed which manages powertrain and cooling system separately. Sequentially, after the analysis of thermal characteristics of the powertrain and cooling system, the thermal-based EMS (T-EMS) is then proposed to manage two systems coordinately. In T-EMS, cooling power demand and the charging/discharging energy of motors are calculated as equivalent fuel consumption and integrated into the object function. Besides, a fuzzy controller is also established to deicide the fuel-electricity equivalent factor with consideration of the effect of temperature and state of charge on powertrain efficiency. Finally, the hardware-in-loop experiment is carried out to validate the real-time effect of EMS under the New European Driving Cycle. The result shows that cooling power demand and temperature can significantly affect the fuel economy of the vehicle. T-EMS shows better performance in fuel economy than S-EMS. The equivalent fuel consumption of the cooling system of T-EMS decreases by 27% compared with that of S-EMS. The total equivalent fuel consumption over the entire trip of PHEV using T-EMS is reduced by 9.7%.     

Energy consumption estimation model for dual-motor electric vehicles based on multiple linear regression

ABSTRACT

The drive range of electric vehicle (EV) is one of the major limitations that impedes its universalism. A great deal of research has been devoted to drive range improvement of EV, an accurate and efficiency energy consumption estimation plays a crucial role in these researches. However, the majority of EV’s energy consumption estimation models are based on single motor EV, these models are not suitable for dual-motor EVs, which are composed of more complex transmission mechanisms and multiple operating modes. Thus, an energy consumption estimation model for dual-motor EV is proposed to estimate battery power. This article focuses on studying the operating modes and system efficiency in each operating mode. The limitation of working area of each mode ensures the vehicle dynamic performance, then PSO algorithm is adopted to optimize the torque (speed) distribution between two motors to improve the system efficiency in the coupled driving mode. Finally, the energy consumption estimation model is established by multiple linear regression (MLR). The result shows that the proposed model has a high precision in energy consumption estimation of dual-motor EV.     

Risk-based optimal operation of hybrid power system using multiobjective optimization

ABSTRACT

This paper solves an optimal generation scheduling problem of hybrid power system considering the risk factor due to uncertain/intermittent nature of renewable energy resources (RERs) and electric vehicles (EVs). The hybrid power system considered in this work includes thermal generating units, RERs such as wind and solar photovoltaic (PV) units, battery energy storage systems (BESSs) and electric vehicles (EVs). Here, the two objective functions are formulated, i.e., minimization of operating cost and system risk, to develop an optimum scheduling strategy of hybrid power system. The objective of proposed approach is to minimize operating cost and system risk levels simultaneously. The operating cost minimization objective consists of costs due to thermal generators, wind farms, solar PV units, EVs, BESSs, and adjustment cost due to uncertainties in RERs and EVs. In this work, Conditional Value at Risk (CVaR) is considered as the risk index, and it is used to quantify the risk due to intermittent nature of RERs and EVs. The main contribution of this paper lies in its ability to determine the optimal generation schedules by optimizing operating cost and risk. These two objectives are solved by using a multiobjective-based nondominated sorting genetic algorithm-II (NSGA-II) algorithm, and it is used to develop a Pareto optimal front. A best-compromised solution is obtained by using fuzzy min-max approach. The proposed approach has been implemented on modified IEEE 30 bus and practical Indian 75 bus test systems. The obtained results show the best-compromised solution between operating cost and system risk level, and the suitability of CVaR for the management of risk associated with the uncertainties due to RERs and EVs.     

出口小家电产品环境适应性试验中常见问题及分析

本文介绍了小家电产品在环境检测中常见的安全问题,分析其通常存在的不符合IEC标准的条款和产生的原因,提出了解决类似问题的措施,从而提高出口小家电产品的安全性能.