Article(id=1222493247293870132, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1222493244286558340, articleNumber=null, orderNo=null, doi=10.19666/j.rlfd.202212267, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=1671033600000, revisedDateStr=2022-12-15, acceptedDate=null, acceptedDateStr=null, onlineDate=1769394702980, onlineDateStr=2026-01-26, pubDate=1692892800000, pubDateStr=2023-08-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769394702980, onlineIssueDateStr=2026-01-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769394702980, creator=13701087609, updateTime=1769394702980, updator=13701087609, issue=Issue{id=1222493244286558340, tenantId=1146029695717560320, journalId=1210938733613449225, year='2023', volume='52', issue='8', pageStart='1', pageEnd='196', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769394702264, creator=13701087609, updateTime=1769394819736, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1222493737050169898, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1222493244286558340, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1222493737050169899, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1222493244286558340, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=87, endPage=95, ext={EN=ArticleExt(id=1222493249202278469, articleId=1222493247293870132, tenantId=1146029695717560320, journalId=1210938733613449225, language=EN, title=Performance analysis of cascade utilization system for industrial heating steam energy based on centripetal turbine power generation, columnId=1211002405299294959, journalTitle=Thermal Power Generation, columnName=Thermal energy science research, runingTitle=null, highlight=null, articleAbstract=

There is a common mismatch between heating supply and demand parameters for industrial heating retrofits of pure condensing thermal power units, and the benefits of thermal power plants can be improved by adopting a reasonable matching scheme of supply and demand parameter. Aiming at the phenomenon of energy mismatch caused by the excessively high extraction parameters of the unit in the industrial heating scene, considering that it is suitable for high-parameter industrial heating, this paper proposes a scheme of using the centripetal turbines for cascade utilization of extraction steam. Taking the industrial heating transformation of a domestic 330 MW cogeneration unit as an example, the thermal system model was constructed to comprehensively evaluate the performance indicators changes of the system from three aspects: thermal performance, exergy environment and economic performance. We also comprehensively compared the effect of upgrading the direct heat reduction and pressure reduction method to the radial turbine power generation steam energy cascade utilization scheme. The calculation results show that under the same heating parameters, compared with the traditional method of temperature reduction and pressure reduction, the comprehensive benefits of the industrial heating steam energy cascade utilization scheme based on centripetal turbine power generation is significant. The specific performance is that under rated conditions, the gross coal consumption rate for power generation can be reduced by 0.89 g/(kW·h), the extraction exergy efficiency can reach 97.66%, and the direct economic benefit is relatively increased by 1.04%, and the carbon transaction cost relative reduction of 0.34%. In addition, the relative advantages of all aspects performance of the system will expand with the increase of the amount of steam extracted by the system for industrial heating.

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针对纯凝机组工业供热改造普遍存在供热供需参数不匹配的现象，考虑工业供热高温高压工况下的适用性，提出采用向心涡轮机膨胀做功的方式对抽汽进行供需参数匹配，实现抽汽能量梯级利用。以某国产330 MW热电联产机组工业供热改造为例，构建了热力系统模型，对比传统直接减温减压和采用向心涡轮机发电2种供热参数匹配方案的系统性能，评估系统不同供热流量和变工况下各性能指标的变化规律。计算结果表明，与减温减压方式相比，相同供热参数下向心机涡轮供热参数匹配方案的综合效益显著，额定工况下主机发电煤耗率可降低0.89 g/（kW·h），抽汽㶲效率可达97.66%，直接经济效益相对提升1.04%，碳交易成本相对减少0.34%，且系统各方面相对性能优势随系统供热流量的增加而扩大。

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张波（1981），男，高级工程师，主要研究方向为能源动力，zqdczhb@163.com。

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张波（1981），男，高级工程师，主要研究方向为能源动力，zqdczhb@163.com。

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