中国电力 ›› 2017, Vol. 50 ›› Issue (5): 139-143.DOI: 10.11930/j.issn.1004-9649.2017.05.139.05

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汽轮机通流性能变化分析基准及能耗敏度计算模型的试验研究

邵峰, 谭锐, 蔡培, 黄启龙   

  1. 国电科学技术研究院,江苏 南京 210046
  • 收稿日期:2016-11-21 出版日期:2017-05-20 发布日期:2017-05-26
  • 作者简介:邵峰(1983—),男,江西余干人,硕士,工程师,从事火电厂性能检测及节能优化方面的研究。E-mail:shaofeng01234567@163.com

Experimental Research on the Performance Analysis Reference of Steam Turbine Flow Path and Its Energy-Consumption Sensitivity Calculation Model

SHAO Feng, TAN Rui, CAI Pei, HUANG Qilong   

  1. Guodian Science and Technology Research Institute, Nanjing 210046, China
  • Received:2016-11-21 Online:2017-05-20 Published:2017-05-26

摘要: 基于等效热降理论和小偏差分析方法,推导出将其他影响参数均折算至统一边界条件(设计参数)下所对应的监视段参数修正值计算方法,统一通流性能变化分析基准,由此摒弃传统仅计算监视段参数和设计值的偏差用来分析通流性能变化的误区。以弗留格尔简化公式和重热理论为基础,给出全新能耗敏度计算方法,避免大嵌套迭代过程,实现快速计算。对上述方法结合性能试验进行论证,结果表明,该方法能准确分析出通流性能变化的主要原因,并得出各缸效率能耗敏度大小和不同类型机组能耗敏度曲线。

关键词: 汽缸进汽参数, 通流性能变化分析基准, 汽缸效率, 能耗敏度

Abstract: Based on the equivalent enthalpy drop theory and the small deviation analysis model, a method is derived to calculate the corrections of the monitoring section parameters with other related parameters converted to unified boundary conditions (design parameters). The reference for the flow path performance variation analysis is also unified. The misunderstanding in judging the flow path performance by calculating the deviation between the monitored parameter and the designed value is discarded. By using the simplified Friuli Greig Formula and the reheat theory, a new method to calculate the energy-consumption sensitivity is proposed, which can avoid deeply nested iterative process and realize fast calculation. The method is proved by performance experiments. It is concluded that this method can figure out the main reasons of the flow path performance variation, and obtain the energy-consumption sensitivity of the efficiency of each cylinder and the energy-consumption sensitivity curve of various units.

Key words: cylinder admission parameter, analysis reference of flow path performance change, cylinder efficiency, energy-consumption sensitivity

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