Article(id=1222488513677873990, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1222488501866713569, articleNumber=null, orderNo=null, doi=10.19666/j.rlfd.202303039, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1677772800000, receivedDateStr=2023-03-03, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1769393574398, onlineDateStr=2026-01-26, pubDate=1690214400000, pubDateStr=2023-07-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769393574398, onlineIssueDateStr=2026-01-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769393574398, creator=13701087609, updateTime=1769393574398, updator=13701087609, issue=Issue{id=1222488501866713569, tenantId=1146029695717560320, journalId=1210938733613449225, year='2023', volume='52', issue='7', pageStart='1', pageEnd='199', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769393571583, creator=13701087609, updateTime=1769393973240, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1222490186634743828, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1222488501866713569, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1222490186634743829, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1222488501866713569, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=150, endPage=156, ext={EN=ArticleExt(id=1222488513984058204, articleId=1222488513677873990, tenantId=1146029695717560320, journalId=1210938733613449225, language=EN, title=Research on the method of multi fuel blending in power plant boilers based on minimum power supply cost, columnId=1222488502818820580, journalTitle=Thermal Power Generation, columnName=Blending and combustion optimization technologies for coal-fired power plants, runingTitle=null, highlight=null, articleAbstract=

In order to solve the safety and economic issues of mixed combustion of multiple fuels such as gas, lignite, and coal slurry in power plant boilers, an evaluation method for the blending of multiple fuels was proposed. Firstly the constraints on the moisture, volatile matter, calorific value, and sulfur content of the fuel entering the furnace under different loads are established, based on the fuel characteristics and various requirements for safe operation of the unit, and then the minimum comprehensive power supply cost and the optimal blending scheme for multiple fuels under different loads are determined through blending experiments. The experiments were conducted on a 300 MW power plant boiler, and the results showed that, on the premise of meeting the constraints of the incoming fuel, the fuel cost for power plants can be decreased by increasing the proportion of economic coal blending based on the principle of minimizing comprehensive power supply costs. This study will provide important reference for the study of multi fuel blending in power plant boilers.

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为解决电站锅炉掺烧煤气、褐煤、煤泥等多元燃料时的安全和经济性问题，提出了一种针对多元燃料掺烧的评估方法。首先结合燃料特性和机组安全运行各方面要求，建立不同负荷下入炉燃料水分、挥发分、热值和硫分的约束条件，然后通过掺烧试验确定最低综合供电成本，提出不同负荷时的多元燃料最佳掺配方案，并在一台300 MW电站锅炉上开展了掺烧试验。结果表明，在满足入炉燃料约束条件的前提下，以综合供电成本最低为原则提高经济煤种掺配比例，可降低电厂燃料成本。本研究将为我国电站锅炉多元燃料掺烧研究提供重要参考。

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^2.Shaanxi Coal Fired Power Plant Boiler Environmental Protection Engineering Technology Research Center, Xi'an 710054, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1222488515015857059, tenantId=1146029695717560320, journalId=1210938733613449225, articleId=1222488513677873990, authorId=1222488514801947539, language=CN, stringName=张向宇, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=^1．西安热工研究院有限公司，陕西　西安　710054
^2．陕西省燃煤电站锅炉环保工程技术研究中心，陕西　西安　710054, bio={"content":"

张向宇（1984），男，博士，研究员，主要研究方向为锅炉数字孪生，zhangxiangyu@tpri.com.cn。

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张向宇（1984），男，博士，研究员，主要研究方向为锅炉数字孪生，zhangxiangyu@tpri.com.cn。

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