燃煤电站锅炉经济运行与污染排放多目标优化研究

项目名称： 燃煤电站锅炉经济运行与污染排放多目标优化研究

项目编号： No.61262048

项目类型： 地区科学基金项目

立项/批准年度： 2013

项目学科： 自动化技术、计算机技术

项目作者： 余廷芳

作者单位： 南昌大学

项目金额： 43万元

中文摘要： 燃煤电站锅炉经济运行及污染排放控制是火电企业的两大主题，燃煤电站锅炉经济高效运行是企业效益的要求，而污染排放控制是社会效益的要求，两者有统一的一面又有矛盾的一面，如何达到燃煤电站锅炉经济运行与排放污染的综合优化是火电企业目前面临的一大难题。 本研究项目拟在燃煤电站锅炉现场冷热态试验数据与历史运行数据库数据的基础上，结合及锅炉自身结构及燃烧机理，引入人工智能神经网络方法建立电站燃煤锅炉的热效率及污染物排放的灰箱模型，进而建立燃煤电站经济运行与污染排放的综合多目标优化模型，利用进化多目标算法对燃煤电站锅炉进行多目标整体优化，并对优化算法应用于锅炉燃烧多目标优化中存在的问题进行针对性的改进，为燃煤电站锅炉经济运行与污染排放综合决策提供参考依据，达到火电企业既节能又减排的综合优化目的。本项目将在神经网络建模、进化多目标优化算法等人工智能方法应用于燃煤电站锅炉进行系统的研究。

中文关键词： 燃煤锅炉；经济运行；污染排放；多目标优化；

英文摘要： Economic operation and pollution emissions control of coal-fired boiler in power plant is the two main themes of the thermal power enterprises, economic and efficient operation of coal-fired boiler is the requirements of enterprises, and pollution emission control is social requirements, both have the uniform side and contradictions side, how to achieve both the economic operation and lower pollution emission of coal-fired boiler in power plant overall optimization is a major problem of thermal power companies facing currently. The goal of this research project is to get a set of Pareto solutions on the problem of multi-objective optimization of coal-fired boiler combustions in power plant. Modeling and optimizing are two important steps, the first stage of the study was to model the functional relations between outputs (NOx emissions & efficient of the boiler) and inputs(operational parameters of the coal-fired boiler ),which is called the combustion characteristics model of the coal-fired boiler. Based on the field test data of coal-fired bolier under the state of cold and hot conditions, combined with the historical operation database of coal-fired boiler in power plant,taking into account the boiler structure and coal-fired boiler combustion mechanism, this research project intends to establish a gray box mo

英文关键词： coal-fired boiler；economic operation；pollution emmisions；multi-objective optimization；