大型蒸汽电厂自然通风湿式冷却塔性能的简化预测模型

S. Wiesche
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引用次数: 0

摘要

电厂的灵活运行和负荷的快速变化成为汽轮机运行的主要问题。在火电厂中,汽轮机的性能与凝汽器密切相关,为了优化电厂机组运行,需要根据天气条件的变化准确预测冷却液温度。本文提出了一种模拟大型自然通风湿式冷却塔性能的一维模型。蒸发区模型以默克尔和波普提出的蒸发冷却理论为基础。采用经验幂律法对与部分负荷性能相关的冷却塔非设计行为进行了建模。提出了一种用户友好的方法,利用已有的电厂数据确定所需的模型参数。该仿真工具可以方便地应用于现有电厂原有冷却塔设计和施工数据失去有效性的情况。本文的计算结果与中欧地区典型冷却塔的实测数据进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Simplified Model for Predicting Natural Draft Wet Cooling Tower Performance of Large Steam Power Plants
Flexible plant operation and rapid load changes become major issues for steam turbine operation. In thermal power plants, the steam turbine performance is closely related to the condenser, and an accurate prediction of coolant temperature as function of changing weather conditions is necessary in order to optimize power plant fleet operation. In this contribution, a one-dimensional model for simulating the performance of large natural draft wet cooling towers is presented. The evaporation zone model rests on the evaporative cooling theory developed by Merkel and Poppe. The off-design behavior of the cooling tower, that is relevant to part load performance, is modeled by an empirical power-law approach. A user-friendly method is presented in order to identify required model parameters by means of already available power plant data. The simulation tool can be employed easily for existing power plants for which the original cooling tower design and construction data lost their validity. The outcome of the present calculation method is successfully compared with field data from representative cooling towers at Middle-European sites.
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