智能建筑及园区能源管理系统

发布时间：2018-05-17 22:04

本文选题：建筑节能 + 智能建筑　；参考：《广东工业大学》2013年硕士论文

【摘要】：目前能源形势十分紧张,石油、煤等能源的储量日益枯竭,各行各业的发展带来的能源消耗也与日俱增,能源浪费现象十分严重。此外,火力发电等破坏环境的产能方式也加剧了温室效应。能源有效的、合理的利用就成了亟待解决的问题。本文阐述了广州市某产业园区能源管理系统的建设,该产业园区将融合绿色能源与节能、减排与生态、智能监控与管理等三个方向的关键技术,形成生态节能规划、应用与工程示范, 首先从硬件和软件两个平台介绍了系统的主要构成。一、硬件平台：根据建筑布局,系统的主站和从站采用星型拓扑网络结构联网方式,其中能源管理监控平台为主站；以CPU-226CN从站为核心构建Modbus总线网络,同时采用了单相交流智能电力仪表、多功能网络电力仪表、串行设备服务器、电力网络桥接器、温湿度传感器、光照度仪、不间断电源和西门子的触摸屏等底层的数据采集和数据交换设备。二、软件平台：以iFIX组态软件作为能源管理系统的监控软件,SQL server数据库软件进行数据的记录和处理。另外,使用编程软件STEP7-Micro/Win软件对CPU-226CN进行编程；使用编程软件WinCC flexible对西门子K-TP178micro触摸屏进行组态。然后将新能源设备和传统能耗设备整合入能源管理系统中。一、对园区的新能源设备——主要是对太阳能光伏发电侧并网系统的发电原理和并网方式作了简要描述,同时安装监测设备对其进行实时监控。不仅可以监测其运行状态,还可以手动调节其运行模式,使其处在最佳运行状态。并且实时监测产能量,按时段统计出该时段的产能情况。二、针对园区传统耗能的相关设备,如低压配电系统、照明、空调、电梯安装了监测模块,并与iFIX总站联网,进行实时监控,对耗电量进行记录,形成趋势图,同时对未来耗电情况进行预测,并能对运行中的不正常耗电情况进行不同等级警告提示。系统通过监测实时环境,使这些设备进行自动调节,使其进入不同的运行模式。最后,结合现有理论,提出可行的能源管理和能耗分析的方案,能够为后续的工作做好充分的准备。同时利用试运行期间得到数据,估算出减排量。
[Abstract]:At present, the energy situation is very tense, oil, coal and other energy reserves are increasingly depleted, energy consumption caused by the development of various industries is also increasing, energy waste is very serious. In addition, thermal power generation and other environmentally damaging production capacity also exacerbated Greenhouse Effect. Energy efficient, rational use has become a problem to be solved. This paper describes the construction of energy management system in an industrial park in Guangzhou, which will integrate the key technologies of green energy and energy saving, emission reduction and ecology, intelligent monitoring and management to form ecological energy conservation planning. Application and engineering demonstration, Firstly, the main components of the system are introduced from two platforms: hardware and software. First, the hardware platform: according to the architectural layout, the master and slave stations of the system adopt the star topology network, in which the main station of energy management monitoring platform is the main station, and the Modbus bus network is constructed with the CPU-226CN slave station as the core. At the same time, single-phase AC intelligent power meter, multi-function network power instrument, serial equipment server, power network bridge, temperature and humidity sensor, illumination meter, Uninterruptible power supply and Siemens touch screen and other underlying data acquisition and data exchange equipment. Secondly, the software platform: the iFIX configuration software is used as the monitoring software of the energy management system and the SQL server database software is used to record and process the data. In addition, programming software STEP7-Micro/Win is used to program CPU-226CN, and WinCC flexible is used to configure Siemens K-TP178micro touch screen. Then the new energy equipment and the traditional energy consumption equipment are integrated into the energy management system. The main contents are as follows: 1. The paper briefly describes the principle and mode of grid-connected solar photovoltaic side grid-connected system, and installs the monitoring equipment to monitor it in real time. It can not only monitor its running state, but also adjust its running mode manually to make it in the best running state. And real-time monitoring of energy production, according to the period of production capacity statistics. Second, for the related equipment of traditional energy consumption in the park, such as low-voltage distribution system, lighting, air conditioning and elevator, the monitoring module is installed, and the monitoring module is connected with the iFIX central station, and real-time monitoring is carried out, the power consumption is recorded, and the trend chart is formed. At the same time, the future power consumption is predicted, and the abnormal power consumption in operation can be warned by different levels. By monitoring the real-time environment, the system automatically adjusts these devices and makes them enter different operation modes. Finally, based on the existing theories, a feasible scheme of energy management and energy consumption analysis is put forward, which can make a good preparation for the subsequent work. At the same time, by using the data obtained during the trial operation, the emission reduction is estimated.
【学位授予单位】：广东工业大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TU855

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