An optimal method for prediction and adjustment on gasholder level and self-provided power plant gas supply in steel works

An optimal method for prediction and adjustment on byproduct gasholder level and self-provided power plant gas supply was proposed.This work raises the HP-ENN-LSSVM model based on the Hodrick-Prescott filter,Elman neural network and least squares support vector machines.Then,according to the prediction,the optimal adjustment process came up by a novel reasoning method to sustain the gasholder within safety zone and the self-provided power plant boilers in economic operation,and prevent unfavorable byproduct gas emission and equipment trip as well.The experiments using the practical production data show that the proposed method achieves high accurate predictions and the optimal byproduct gas distribution,which provides a remarkable guidance for reasonable scheduling of byproduct gas.     

A hardware-based algorithm for virtual machine provisioning in a private cloud

Cloud computing is becoming a key factor in the market day by day. Therefore, many companies are investing or going to invest in this sector for development of large data centers. These data centers not only consume more energy but also produce greenhouse gases. Because of large amount of power consumption, data center providers go for different types of power generator to increase the profit margin which indirectly affects the environment. Several studies are carried out to reduce the power consumption of a data center. One of the techniques to reduce power consumption is virtualization. After several studies, it is stated that hardware plays a very important role. As the load increases, the power consumption of the CPU is also increased. Therefore, by extending the study of virtualization to reduce the power consumption, a hardware-based algorithm for virtual machine provisioning in a private cloud can significantly improve the performance by considering hardware as one of the important factors.     

双层集热棚式太阳能热气流发电装置研究

为解决传统温室大棚在保温和降湿方面存在的问题,扩大太阳能热气流发电应用范围,本文提出一种基于温室大棚的双层集热棚式太阳能热气流发电装置。给出了夏冬两季不同运行模式,同时对双层集热棚采光性进行计算和分析,结果表明,主集热棚内平均单位面积的太阳净辐射量为599.76W/m2,次集热棚内平均单位面积的太阳净辐射量为539.784W/m2,双层集热棚平均透光率为69.2%,符合国标规定的温室大棚光照要求,满足大棚夏季降温、降湿,冬季保温、降湿的要求,本研究可以实现太阳能发电和改善温室大棚作物的生长环境,具有一定的推广应用价值。     

混合动力客车动力系统参数匹配与仿真优化

针对目前混合动力城市客车所具有的优势,本文以某款城市客车为例,在3种混合动力驱动形式的基础上,确定了本车串联混合动力的驱动形式;并对动力系统各部件参数进行了匹配设计,同时利用ADVISOR软件及其自动尺寸设计功能进行优化仿真。仿真结果表明,优化后的参数,虽电池组数目相差不大,但发动机、发电机和电动机的功率均有所减小,从而使3个部件的尺寸、质量和体积都有所减小,因此,整车的总质量也将随之减小,整车的经济性比参数优化前好。该研究满足了混合动力城市客车对动力性能的要求,达到了参数优化的目的。该研究为发展混合动力客车提供了理论依据。     

管理层权力对过度投资影响的实证研究

以2007—2011年我国主板上市企业为样本,采用多元回归方法实证分析了管理层权力对企业过度投资的影响。研究结果表明,我国上市企业管理层的综合权力越大,企业过度投资现象越严重。管理层如果担任内部董事或同时在其他单位任职,管理层的组织权力和声望权力更大,越有可能通过过度投资寻租。管理层职称越高,管理层的专家权力越大,越有可能实施过度投资。     

稀土元素对Ni-Cr-Al合金高温氧化影响机理的研究

采用第一性原理赝势平面波方法,通过Materials Studio软件中的Castep模块,建立Al2O3晶胞,稀土元素Y的加入有助于控制Al2O3或Cr2O3的生长速度,减少氧化薄膜和基体间形成空洞,从而提高氧化薄膜的粘附性.稀土元素La的加入与S形成化合物,消除S对基体产生的不良反应,改善了氧化薄膜的粘附性.     

便携设备电源管理系统的设计

基于电源管理芯片PM8028,设计一种便携设备电源管理系统。对整个系统的充电及供电电路进行设计,将系统工作状态及电源管理系统软件进行划分,通过软件编程使系统在各工作状态之间自动切换,从而动态的调整了系统供电策略。测试表明,该系统待机电流较小,延长了设备待机时间。     

基于GaAs电感模型的微波功率放大器

基于0.15μm砷化镓(GaAs)工艺建立一种电感模型,并用高频结构模拟器(High Frequency Structure Simulator,HFSS)仿真验证,并在此基础上设计一种微波功率放大器,并用高级系统设计软件(Advanced Design System,ADS)进行仿真。仿真结果显示在8¹2GHz频率范围内,饱和输出功率大于21.9dBm,1dB压缩点输出功率大于20dBm,功率增益大于26dB,功率附加效率大于34%,稳定系数大于1。     

火电厂湿法脱硫“石膏雨”成因分析与防治措施

目前大部分采用无GGH的石灰石-石膏湿法脱硫系统的火力发电厂,运行时易产生"石膏雨"问题.对石膏雨的形成原因和影响因素进行了分析,从提高除雾效率、提高净烟气温度、优化烟囱设计、优化运行调整4个方面提出了具体的防治措施.     

变频调速技术及其在电厂节能中的应用

火力发电厂中各类泵与风机的能量消耗在厂用电中所占的比重很大,应该采用更加节能的调节方式来降低泵和风机的能耗,减少厂用电．变频调速技术可以实现无级、大幅度的调节,是一种高效的调节方式．主要介绍了变频调速技术的基本原理和节能原理,分析了某电厂4#锅炉机组送引风机系统变频改造后的节能效果．