600MW机组锅炉风烟系统变工况特性计算与分析

论文总字数：25611字

摘 要

关键词4

Abstract5

Key words5

1 绪论6

1.1选题的背景及意义6

1.2技术与研究现状7

1.3 Matlab支持向量机介绍9

1.3.1统计学习理论9

1.3.2 SVM原理9

1.4本文的主要研究内容10

2 风烟系统影响因素11

2.1一次风机11

2.1.1一次风机流量11

2.1.2一次风机全压12

2.2送风机14

2.2.1送风机流量14

2.2.2送风机全压15

3 特性分析与计算模型16

3.1数据筛选16

3.2特性分析与模型设计16

3.2.1一次风机流量计算17

3.2.2一次风机全压计算22

3.2.3一次风机能耗计算27

4 总结28

致谢29

参考文献30

600MW机组锅炉风烟系统变工况特性计算与分析

03011428 徐静晨

指导教师 韦红旗

摘要: 在厂级负荷变动的情况下，如何合理分配各机组间负荷以降低全厂能耗是一个具有很强现实意义的课题。达到这一目的就必须充分掌握机组能耗特性，具备不同工况下预测机组能耗的能力。风烟系统作为消耗厂用电较多的机组子系统，其主要能耗来源——一次风机、送风机和引风机及它们的能耗特性对全厂能耗有着很大的影响

本文立足于对一次风机流量、一次风机全压、送风机流量和送风机全压影响因素的分析。在分析结果的基础上，考虑到电厂日常主要的运行区间，力图建立岱海电厂#2和#3机组430MW——600MW负荷区间内以机组有功功率为基础的一次风系统计算模型，主要计算过程包括一次风系统中各处的流量和阻力。最终通过得到一次风机流量、全压达到预测一次风机能耗的目的。同时在模型建立过程中对所涉及到的一些参数进行特性分析和线性拟合。对于复杂参数应用支持向量机进行分析。

最终各参数的预测计算结果存在一定误差，依然具有提升空间，可以在后续的工作中加入更多影响参数以提高计算模型准确性。本文对厂级能耗预测系统的开发提供了重要参考。

关键词：风烟系统 流量特性 阻力特性 能耗 计算模型

Characteristics Computing and Analysis in Variable Working Condition in Air and Gas System of Boiler of 600MW Units

03011428 Xu Jingchen

Supervised by Wei Hongqi

Abstract: In the case of plant-level load changes, reasonable distribution among the units load to reduce the energy consumption of the whole plant is a very realistic issue. To achieve this target, it is necessary to fully grasp the characteristics of unit energy consumption, get the ability to predict the unit energy consumption of different conditions. Air and Gas system is a power plant subsystem consuming much auxiliary power, and its main energy source – primary air fan, supply air fan and induced draft fan and their power consumption characteristics have a great influence on the energy consumption of the whole plant.

This article bases on the influence factors of flow rate and total pressure of primary air fan, flow rate and total pressure of supply air fan. Based on these analysis results, taking into account the daily range of power plants running, trying to establish the primary air system-based computing model among 430MW - 600MW load range of Daihai Power Plant Unit 2 and 3. The main computing process includes the flow and resistance throughout the primary air system. Finally, by getting flow and total pressure of primary air fan, predict the energy consumption of primary air fan. At the same time, in the process of establishing the model characterizing and linear fit some parameters involved in. Using Support Vector Machine analyze complex parameters.

Finally, results of the parameters prediction presence a certain error, there is still room for improvement. It is possible to add more parameters in the follow-up work to improve the calculation accuracy of the model. This paper provides an important reference for the development of plant-level energy forecasting system.

Key words: Air and Gas System, Characteristics of Flow, Characteristics of Resistance, Energy Cosumption, Computing Model

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