330MW机组汽轮机真空及冷却塔系统冷端优化研究

发电技术

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330MW机组汽轮机真空及冷却塔系统冷端优化研究

匡华临¹，韩彦杰¹，袁靖涵²，刘卓龙²，甘云华^2*

1．广州中电荔新热电有限公司，广东省广州市 511340；
2．华南理工大学电力学院，广东省广州市510641

基金资助:
国家自然科学基金项目(52376108)；广州市科技计划项目(2023B03J1282)。

Research on the Optimization of the Cold End of the Steam Turbine Vacuum and Cooling Tower System of the 330MW Unit

KUANG Hualin¹,HAN Yanjie¹,YUAN Jinghan², LIU Zhuolong², GAN Yunhua^2*

1. Guangzhou CLP Lixin Thermal Power Co., Ltd., Guangzhou 511340, Guangdong Province, China;
2.School of Electric Power Engineering, South China University of Technology, Guangzhou 510640,
Guangdong Province, China

Supported by:
Project Supported by National Natural Science Foundation of China(52376108);Guangzhou Science and Technology Plan Project (2023B03J1282).

摘要/Abstract

摘要： 【目的】为解决330MW燃煤火力发电机组能耗高问题，研究提出一种基于数学建模的冷端系统优化方法。通过合理配置循环水泵与冷却风机组合，精确调控凝汽器真空度，提升机组效率。【方法】以某电厂330MW闭式机组为对象，基于热交换学会(heat exchange institute，HEI)提出的总传热系数法和焓差法构建优化模型。对不同负荷条件下的运行组合进行模拟计算，确定最优参数配置，包括水泵与风机开启台数及凝汽器真空度等指标，并利用实际数据验证模型准确性。【结果】优化后冷端系统显著提升性能：冷却塔出塔冷却水温度降低26.38%，进塔冷却水温度降低22.12%，凝汽器真空度提升1.57%，净输出功率提高0.3%。这些改进有效降低冷却水温，减少能耗与煤耗，提高热效率和发电能力。【结论】该方法解决了传统模式下效率低、能耗高的问题，降低燃料消耗与运营成本，延长设备寿命，实现经济与环境效益双赢，为燃煤机组节能减排提供新路径，推动电力行业可持续发展。

关键词: 汽轮机真空, 冷却塔节能, 节能减排, 数学建模, 智能优化

Abstract: [Objectives] In order to solve the problem of high energy consumption of 330MW coal-fired thermal power generation units, this study proposes an optimization method for cold-end system based on mathematical modeling. Through the reasonable configuration of circulating water pump and cooling fan, the vacuum degree of the condenser is accurately adjusted to improve the efficiency of the unit. [Methods] Taking a 330MW closed-circuit unit of a power plant as the object, the optimization model was constructed based on the total heat transfer coefficient method and enthalpy difference method proposed by the Heat Exchange Institute (HEI). The operation combination under different load conditions was simulated and calculated, and the optimal parameter configuration was determined, including the number of pumps and fans turned on and the vacuum degree of the condenser, and the accuracy of the model was verified by using the actual data. [Results]The performance of the cooling-end system is significantly improved after optimization: the cooling water temperature of the cooling tower is reduced by 26.38%, the cooling water temperature of the incoming tower is reduced by 22.12%, the vacuum degree of the condenser is increased by 1.57%, and the net output power is increased by 0.3%. These improvements effectively reduce cooling water temperature, reduce energy and coal consumption, and improve thermal efficiency and power generation capacity. [Conclusions] This method solves the problems of low efficiency and high energy consumption in the traditional mode, reduces fuel consumption and operating costs, prolongs the life of equipment, achieves a win-win situation of economic and environmental benefits, provides a new path for energy conservation and emission reduction of coal-fired units, and promotes the sustainable development of the power industry.

Key words: steam turbine vacuum, energy savingof cooling towers, energy conservation and emission reduction, mathematical modeling, Intelligent optimization

匡华临, 韩彦杰, 袁靖涵, 刘卓龙, 甘云华. 330MW机组汽轮机真空及冷却塔系统冷端优化研究[J]. 发电技术.

KUANG Hualin, HAN Yanjie, YUAN Jinghan, LIU Zhuolong, GAN Yunhua. Research on the Optimization of the Cold End of the Steam Turbine Vacuum and Cooling Tower System of the 330MW Unit[J]. Power Generation Technology.

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