Optimization of thermal performance of the parabolic trough solar collector systems based on GA-BP neural network model

The aim of this paper is to optimize the thermal performance (system output energy, thermal efficiency, and heat loss of cavity absorber) of parabolic trough solar collector (PTC) systems in order to improve its thermal performance, based on the genetic algorithm-back propagation (GA-BP) neural network model. There are a number of undefined problems, fuzzy or incomplete information and a complex thermal performance of the PTC systems. Therefore, the thermal performance prediction of the PTC systems based on GA-BP neural network model was developed. Subsequently, the metrics performances have been adopted to comprehensively understand the algorithm and evaluate the prediction accuracy. Results revealed that the GA-BP neural network model can be successfully used to predict the complex nonlinear relationship between the input variables and thermal performance of the PTC systems. The cosine effect has a great influence on the thermal performance; thereby the geometrical structure of the PTC systems was optimized. It was found that the optimized geometrical structure was beneficial to improve the thermal performance of the PTC system. In conclusion, the GA-BP neural network model has higher prediction accuracy than the other algorithm and it can be feasible and reliable.     

Comparison Between Heat Pipe and Direct Heat Exchange Solar Louvre Collectors

International concern about the environmental implications of climate change coupled with increasing demand for energy to fuel modern society has lead to growing interest in using renewable energy sources as alternatives to conventional sources. The work presented in this paper compares two types of solar collector integrated into louvred shading devices. In addition to protecting glazed spaces in buildings from excessive solar gain, the collector would provide the flexibility to produce systems customized for collecting heat over a temperature-range appropriate to particular building services applications at various climates/locations. This would allow considerable savings to be made in primary energy consumption and lead to a reduction in global warming impact. Two solar absorbers, based on different techniques of heat exchange, were tested experimentally. The first was based on a direct heat exchange technique, and the second used heat pipe technology. Various comparisons were made and it was concluded that the heat pipe solar louvre collector was the preferred device.     

确定滤袋室内喇叭安装个数和位置的新方法

初步建立 了滤袋 室内声压 分布 的数 学 模型 ，并 利用 实 测结 果对 此 数学 模型 进 行了 检验 ，证明所建 立的模 型是合理 的。可以 利用此模 型计算 滤袋室内 的声 压分 布，并 确定 喇叭 的安 装个 数和安装位 置     

对前有综合池的污水湿地处理规模的研究

对于前有综合池的雨污合流市政雨水管道水体的湿地处理措施的适宜规模,采用在潜流湿地中埋设土壤溶液采集器的陶瓷头,在不同位置取水监测的方法来探讨。从土壤溶液采集器的取水结果来看,若忽略陶瓷头对SS的过滤作用及SS与其他污染物的相关性带来的对其他污染物的过滤作用,除个别情况外,几乎所有位置的污染物出水浓度均能达到北京市地方标准DB11/307-2005水污染物排放标准中的一级B限值要求。因此,可以初步确定,若以DB11/307-2005水污染物排放标准中的一级B限值要求为出水目标,上述水质水量的来水对应的试验所设计的潜流湿地的处理规模为:长度方向为距离进水口10m,深度方向为距离上表面20cm。湿地的设计面积以及填料深度的最终确定有待进一步研究。     

铸铁机石墨粉尘治理

日照钢铁3号、4号铸铁机除尘系统改造,系统设计风量为500 000 m3/h。本除尘系统采用了移动除尘罩车等关键设备强化收尘效果,以实现既能在不妨碍生产的条件下改善工作环境,又能方便铸铁机铁水溜槽的清理和更换,从而提高铸铁机的工作效率的目的。移动收尘罩车等关键设备的使用,大大改善了铸铁机平台的工作环境,提高了工作效率,降低了劳动强度,消除了安全隐患,同时也产生了一定的经济效益。     

抛光打磨车间便携式除尘器本体设计与试验

基于气旋分离和滤筒过滤的除尘原理,采用气旋分离作为一级除尘分离大颗粒粉尘,滤筒过滤作为二级除尘去除细颗粒物,设计并构建了适用于抛光打磨车间的便携式除尘器试验模型,并对其运行性能参数进行测试。结果表明：除尘器处理风量为117～179 m³/h,漏风率和设备阻力随处理风量的增加而升高,漏风率控制在3.52%以内,设备阻力最小为163 Pa,最大为393 Pa;除尘效率随风量的增大而发生轻微降低,该便携式除尘器的最高除尘效率达99.63%。     

球团矿厂煤粉收集设备的改造

通过改造,将球团矿厂煤粉收集器由气箱式脉冲袋式除尘器改造为长袋低压脉冲高浓度煤粉袋式收集器,实现磨煤收尘系统运行安全防爆、高效低阻、稳定可靠;在提高煤粉台时产量的同时,大幅度地降低运行成本。     

旋风湿式纤维栅除尘器

根据旋风除尘理论及湿式纤维栅除尘理沦,提出了一种旋风-湿式纤维栅除尘器,并对影响其性能(效率、阻力)的有关参数(旋流入口风速、喷水量等)进行了大量实验。实验结果表明,该旋风-湿式纤维栅除尘器不仅性能优良,并对资源回收利用及污物的后处理提供很多便利。     

湘钢烧结厂白灰矿槽通风除尘系统的改造设计

针对压缩空气输送白灰进入矿槽的空气动力学特点 ,用压力损失的预定值和脉冲间隔时间计算方法选择配带通风机的仓顶式布袋除尘器 ,既除尘又达到了卸压目的     

袋式除尘技术在水泥立窑窑尾烟气治理上的应用

叙述了袋式除尘器的结构及工作原理,将其用于水泥立窑烟气治理,操作简单,运行稳定,故障率低,除尘效果达到预期目的.