新疆大学学报（自然科学版中英文）2025，Vol.42Issue(4)：485-495,11.DOI:10.13568/j.cnki.651094.651316.2024.03.19.0001
660 MW超超临界燃煤机组烟气余热深度利用系统经济性分析
Economic Analysis of Flue Gas Waste Heat Deep Utilization in 660 MW Ultra-Supercritical Coal-Fired Unit
摘要
Abstract
This article takes a typical domestic-built 660 MW unit as a case study.Based on the principle of energy cascade utilization,a deep utilization system for flue gas waste heat is designed for different seasons.That is,summer combined flue gas bypass system,winter combined flue gas bypass+conventional heater,and winter combined flue gas bypass with heater.A systematic economic analysis model is established.Compared with conventional flue gas waste heat utilization schemes,variable operating condition analyses are conducted separately.Research results indicate that the unit can reduce the standard coal consumption rate by up to 2.42 g/kWh under variable operating conditions in summer.It is more optimal to use a flue gas bypass combined with a auxiliary heater under variable operating conditions in winter,which can reduce the standard coal consumption rate by up to 3.42 g/kWh.The total investment for the deep utilization system of flue gas waste heat is about 11.841 0 million CNY.On average,6 688.86 tons of standard coal can be saved throughout the year.The annual coal saving income is 5.016 6 million CNY.CO2 and other gases are reduced more than 15 900 tons per year.This plan has significant energy-saving,economic,and environmental benefits,and is feasible in engineering.关键词
燃煤机组/余热利用/烟气旁路/能量梯级利用/经济性分析Key words
coal-fired units/waste heat utilization/flue gas bypass/energy cascading utilization/economic analysis分类
建筑与水利引用本文复制引用
马小晶,王其微,胡丽娜,睢洋洋,程泽宁,艾克旦·艾尼瓦..660 MW超超临界燃煤机组烟气余热深度利用系统经济性分析[J].新疆大学学报（自然科学版中英文）,2025,42(4):485-495,11.基金项目
新疆维吾尔自治区重大科技专项"超超临界燃用准东煤机组的节能减碳技术研究"(2022A01002-2) （2022A01002-2）
新疆维吾尔自治区"天山英才"培养计划"基于煤炭绿色开采的高矿化度矿井水降膜蒸发多场多相耦合机制研究"(2022TSYCCX0054) （2022TSYCCX0054）
新疆维吾尔自治区重点研发任务专项"新疆煤矿高矿化度矿井水高效脱盐浓缩技术研究"(2022B03028-5) （2022B03028-5）
国家级大学生创新训练计划"超超临界燃用准东煤机组能耗计算及预测分析平台"(202310755014). （202310755014）
