联合循环机组在线振动监测与管理系统

针对GE公司STAG 109FA单轴联合循环机组,详细介绍了美国BETLY轴线振动系统,包括振动测点布置、BENTLY Nevada系统1数据管理软件、3500/22M瞬态数据界面和Bently Nevada3500系列监控系统等设计原理和功能.     

新能源和可再生能源在线监测系统研究

为了解决当前分布式新能源和可再生能源发电项目由于种类、规约以及规模差异导致难以集中监测和管理的问题,设计出一种分布式部署、功能可裁剪、应用可扩展、故障可自愈的需求侧新能源和可再生能源在线监测系统。系统按照国际通用的电网信息数据模型标准设计,在国内首次为不同类型的新能源和可再生能源发电项目制定统一的数据采集和传输标准,能够实现辖区内所有太阳能、风力、生物质能等新能源和可再生能源发电项目的数据统一采集和实时监测。该系统已经在北京市范围内开展应用,预计到2017年,北京市接入的新能源和可再生能源项目将达到1 500个。目前已经接入项目数量超过100个,并收到了良好的效果,系统的稳定性和可靠性也得到了验证。     

润滑油含水量在线监测研究

分析了燃气轮机、汽轮机润滑油(透平油)中水分产生的原因、形态以及对设备的危害,借助于先进的湿度传感器技术和在线监测方法,研制了一套润滑油中含水量在线监测系统,实现了润滑油中含水量的在线监测和数据存储管理,并对湿度传感器在润滑油环境中的特性进行了详细的实验研究。     

城市污水处理在线监测管理系统的研究与应用

设计一城市污水处理在线监测管理系统,该系统由在线仪器监测系统、数据采集传输系统、信息管理系统构成,采用水质检测、无线通信、网络、GIS地理信息等先进技术,实现了省级区域污水处理数据监测的网络化、自动化、智能化,为污水处理行业提供了科学的监管手段。     

Implementation of on-line performance monitoring system at Seoincheon and Sinincheon combined cycle power plant

As a result of the restructuring of the Korean Power Generation Industry, Korean power companies are under increased pressure to increase capacity and lower operating costs. In order to achieve these goals, an on-line real-time performance monitoring system has been introduced to the Seoincheon and Sinincheon combined cycle power plants (CCPP). The on-line real-time performance monitoring and optimization system helps plant personnel operate the plants profitably by tracking plant performance changes based on real-time information. This paper outlines how the on-line performance monitoring system is being used to improve the operational efficiency and optimize equipment maintenance. Case studies showing the benefits provided by the system are presented. This system will be useful for the plants to respond to the competitive electricity market.     

基于煤粉浓度在线监测下煤粉锅炉的节能研究

本文基于气、固两相流理论,考虑了风煤合流过程中的压力损失影响,并运 用能量法提出了一种测量一次风管中风－粉混合后煤粉浓度的新方法,并且介绍 了对一次风管中煤粉浓度、风速实现在线、实时监测的过程和方法。实残证明,在应 用此系统后,煤粉浓度的在线监测与控制有利于煤粉充分燃烧,并取得了很好的节 能效果。     

电力断路器在线监测技术探讨

根据电力断路器的不同结构类型,探讨了针对不同结构的设备在线监测方法以及断路器通用特性的在线监测技术,提出了在线监测系统的架构,最后展望了在线监测技术的发展趋势。     

基于GPRS技术的机车实时动态监控系统的研究

采用GPRS无线通信技术,将ASP．NET三层架构运用其中,研究了基于Web方式的机车远程监控系统。在数据传输过程中采用基于TCP的Socket协议,使数据的传输速度和可靠性有了很大的提高。该系统不仅满足了监控过程中的实时性与可靠性的要求,也提高了资源利用率,降低了成本。     

基于云计算的能耗在线监测系统在节能监察中的应用与研究

建设重点用能单位能耗在线监测系统,通过在用能单位用能各环节安装智能采集设备获取能耗数据,通过无线通信网络上传至云服务平台,进行大数据分析与挖掘,及时准确地掌握用能单位能耗情况,为节能监察工作提供数据支撑,为开展能效对标提供科学依据,对增强节能监察的针对性和主动性具有重要意义。通过对能耗在线监测系统的设计、功能目标和建设原则进行探讨,分析该系统在节能监察中应用存在的问题,并就此提出对策建议。     

Overview of amorphous silicon photovoltaic module development

Amorphous silicon (a-Si) photovoltaic (PV) modules are generally manufactured in a single-junction p-i-n configuration and in sites ranging from a few square centimeters to about 4000 cm². These modules are being used in a number of both indoor and outdoor low wattage (less than 20 W_p (peak watt)) applications, but have not found widespread use in most higher wattage power applications owing to relatively low stabilized conversion efficiencies (approximately 4%–5%). The recent improvements in the performance and stability of a-Si based multijunction modules indicates that these modules should soon start to appear in the higher wattage outdoor applications. When multijunction modules are manufactured in totally automated facilities, the manufacturing costs should fall below $1 per W_p, and these modules should then start penetrating the grid-connected power generation markets.     

Off/on-line FRA condition monitoring technique for powertransformer

This letter presents a novel and sensitive frequency response analysis (FRA) technique for off/on-line condition monitoring of expensive power apparatus. The main objective is to investigate the applicability of this predictive maintenance technique to diagnosing power transformer failures, to characterize the transformer in a frequency plane for safe operation, and to develop on-line monitoring technique. The effectiveness of this technique is demonstrated on a 2.5 MVA transformer housed at the High Voltage Laboratory of Pacific Power International (PPI) and then tested on three field transformers. The on-line technique is verified on a single-phase high voltage transformer. This study shows that FRA results are very sensitive to faults. The configuration of the measurement set up, frequency range and terminations play a greater role in getting reproducible, fault-indicating results. The interpretation of the voluminous data and analysis relevant to the faults opens a gateway to develop smart power apparatus     

在线生饮水系统在宾馆的应用

何获取安全优质的饮用水,已成为人们日常生活的焦点。由拓野公司试制开发的拓野在线生饮水机,有效解决了生饮水系统中存在的二次污染问题。由经济万分分析结果表明,该在线生饮水系统一次性投资小,运行成本低。经鉴定,出水水质完全符合国家卫生部要求,进一项具有良好应用前景的绿色技术。     

浅谈二甲醚工业的发展前景

介绍了二甲醚的性质、用途及生产技术。并对二甲醚作为替代能源在国内和省内的发展前景提出看法和建议。     

Comparison of power plant steam condenser heat transfer models for on-line condition monitoring

In this paper heat transfer models for large power plant condenser were examined. The goal was to develop a model capable of predicting not only the condenser pressure but the overall heat transfer coefficient. Such a model can be used for condenser condition monitoring. The results of a two-dimensional (2-D) condenser heat transfer model and single-point, zero-dimensional (0-D) model are presented together with the results from Heat Exchanger Institute (HEI) standards curves. Both 0-D and 2-D models can account for the effects of steam-side pressure drop and in a simplified manner also some effects of tube bundle geometry. For all models an experimental correction as a function of cooling water temperature was implemented to improve their accuracy. The results are presented in comparison with the measured plant data for three different tube bundle geometries, with and without the experimental correction factor. The 2-D model proved to be the most consistently accurate of the models both without the correction, and at varying steam and coolant flow with the correction applied. The results indicate significant local variation of pressure drop related effects, which the 0-D model failed to accurately predict particularly in cases of close temperature approach. In predicting the heat transfer coefficient the HEI model was the least accurate, significantly overestimating the impact of coolant flow rate change, and failing to match the measurements even with a correction applied.     

污垢在线监测技术不确定性的时间序列法分析

基于污垢热阻在线监测系统测试数据，经过相应热阻序列自相关函数、偏相关函数的性质分析。一定精度预报模型的初步建立，以及对预报模型的识别、估计和检验，最终求得该热阻序列的标准模型，应用该模型进行预报分析，结果表明：在一定的预报期内，污垢监测系统的误差不超过6％，从而进一步论证了污垢热阻在线监测技术的可靠性及合理性，为该监测技术的工程应用提供了理论依据。     

Thermal behaviour assessment of a novel vertical greenery module system: first results of a long-term monitoring campaign in an outdoor test cell

Vertical greenery modular systems (VGMSs) are an increasingly widespread building envelope solution aimed at improving the aesthetical quality of both new and existing façades, contemporarily achieving high energy efficiency performance. Within a research project, a new prototype of VGMS was developed, designed and tested. An experimental monitoring campaign was carried out on a test cell located in Turin (northern Italy), aimed at assessing both biometric parameters and energy-related issues. Two different types of growing media and two plant species, Lonicera nitida L. and Bergenia cordifolia L., have been tested on a south-facing lightweight wall. Results have been compared to the same wall without VGMS and plaster finished, in order to characterise the thermal insulation effectiveness in the winter period and the heat gain reduction in the summer period. Measured equivalent thermal transmittance values of the green modular system showed a 40 % reduction, when compared to the plastered wall, thus noticeably impacting on the energy crossing the façade during the heating season. Benefits of the VGMS are measured also during the summer season, when the presence of vegetation lowers the outdoor surface temperatures of the wall up to 23 °C compared to the plastered finishing, with a positive effect on outdoor comfort and urban heat island mitigation. Nevertheless, as far as the entering energies are concerned, not significant reduction was observed for VGMS, compared to the reference plastered wall, since the green coverage acts as a thermal buffer and solar radiation is stored and slowly released to the indoor environment.     

The development of an exchangeable PEMFC power module for electric vehicles

This paper develops an exchangeable fuel-cell power module that is replaceable on different light electric vehicles (LEVs). The module consists of a proton exchange membrane fuel-cell (PEMFC) and two battery sets, which provide continuous power for LEVs. The study includes three topics: fuel-cell control, power management, and system modularization and vehicle integration. First, we design robust controllers for the PEMFC to provide a steady voltage or current for charging the battery sets. Second, we develop a serial power train that can provide continuous power for driving the vehicle motors. Third, we modularize a power system that can be easily implemented on different LEVs. We build the system on Matlab™ SimPowerSystem for simulation before road tests, and integrate the power module onto a mobility car and an electric motorbike for experimental verification. Based on the results, the proposed systems are deemed effective.     

Formal development of an operation monitoring and control system for nuclear reactors using Event-B method

Nuclear power plants are complex systems with many regulations, requirements, procedures, and operational constraints. The future autonomous safety monitoring and control system of nuclear plants require a constructive method in integrating and aggregating the accumulated knowledge database normally written in human language. For safety critical systems, formal methods such as model checking and theorem proving are used for verifying its conformance of safety requirements. However, formal specifications and implemented application codes are virtually unreadable for domain experts. To enhance this communication bottleneck and to boost productivity, we use semantic web technology to relate formal specifications with ontologies that are human-readable and have formal semantics. We introduce a nuclear reactor ontology of controlled vocabulary to link elements in a physical system and its Event-B model (a formal method for system-level modeling and analysis). Controlled vocabulary provides several benefits. It is still construction of a spoken language and thus, human readable and transparent. Their formal semantics make it easy to integrate them to the counterparts in their specification. We can generate system logs those are both human and machine friendly. Practitioners can write ad hoc query using SPARQL Protocol and RDF Query Language (SPARQL). As a proof of concept of our methodology, we build a system for safety monitoring and control of a nuclear reactor. We prototype our monitoring system in Event-B model and verify that it satisfies safety requirements and constraints. Then we build an OWL 2 ontology for the semantic web from the Event-B model annotating all metrics and events of the system monitors.     

Adhesional shear strength and surface analysis of a PV module deployed in harsh coastal climate

Adhesional shear strength and chemical composition at the Si/EVA interface of samples extracted from a PV module manufactured by a major manufacturer using slow-cure EVA and deployed in the hot and humid climate at Cocoa, FL were studied. Precipitation of sodium from glass superstrate and ambient, and phosphorous from dopant glass reduced adhesional strength at Si/EVA interface to 35% of that in new modules. Presence of tin at this interface has also been attributed to solder-bond corrosion by moisture and impurities Na and P. It is interesting to point out that in this case, corrosion has occurred prior to delamination.     

An adaptive power system stabilizer using on-line trained neuralnetworks

This paper presents an approach to the design of an adaptive power system stabilizer (PSS) based on on-line trained neural networks. Only the inputs and outputs of the generator are measured and there is no need to determine the states of the generator. The proposed neural adaptive PSS (NAPSS) consists of an adaptive neuro-identifier (ANI), which tracks the dynamic characteristics of the plant, and an adaptive neuro-controller (ANC) to damp the low frequency oscillations. These two subnetworks are trained in an on-line mode utilizing the backpropagation method. The use of a single-element error vector along with a small network simplifies the learning algorithm in terms of computation time. The improvement of the dynamic performance of the system is demonstrated by simulation studies for a variety of operating conditions and disturbances