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Malfunction diagnosis of thermal power plants based on advanced exergy analysis: The case with multiple malfunctions occurring simultaneously

机译:基于高级火用分析的火电厂故障诊断:同时发生多种故障的情况

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摘要

During continuous operation of energy systems, the performance of components will mostly, gradually deviate away from the reference conditions due to performance degradation, which may eventually lead to malfunctions or operation failure. The complex interconnection among components and the propagation nature of additional irreversibility caused by malfunctions increase the difficulty of malfunction diagnosis. Particularly, in common real-world cases, multiple malfunctions usually happen simultaneously in several different components, imposing additional difficulty for effective malfunction identification and quantification. In this paper, we generalize an effective diagnosis method recently proposed by the authors to accurately locate the malfunction component and quantify the effect caused by anomalies of multiple malfunctions. The generalized method is based on advanced exergy analysis, where exergy destruction within each component is split into endogenous and exogenous parts. The endogenous exergy destruction is due to the irreversibility of the component itself, while the exogenous is caused by the inefficiencies of the remaining components. The exogenous exergy destruction is, in fact, the major obstacle to accurately pinpoint the origins of performance degradation. In the generalized approach, an internal exergy indicator is recommended to be applied first to identify the malfunction components in a fast and effective manner. Then the endogenous exergy destruction of the identified malfunction components under the reference and degradation conditions is calculated and compared for accurate quantification. The generalized diagnosis approach is applied to a complex real-world case studies, in which several malfunctions are introduced simultaneously into different components. The results show that the proposed indicator could fast identify the source of anomalies while the endogenous exergy destruction successfully and effectively quantifies all introduced malfunctions. (c) 2017 Elsevier Ltd. All rights reserved.
机译:在能源系统的连续运行过程中,由于性能下降,组件的性能通常会逐渐偏离参考条件,最终可能导致故障或运行失败。组件之间的复杂互连以及由故障引起的其他不可逆性的传播特性增加了故障诊断的难度。特别是在现实世界中,多个故障通常在几个不同的组件中同时发生,从而给有效的故障识别和量化带来了额外的困难。在本文中,我们概括了作者最近提出的一种有效的诊断方法,可以准确地定位故障组件并量化由多个故障异常引起的影响。通用方法基于高级火用分析,其中将每个组件内的火用破坏分为内生和外生部分。内源于本能的破坏是由于组件本身的不可逆性,而外源是由其余组件的低效率引起的。实际上,外源的火用破坏是准确查明性能下降的根源的主要障碍。在一般方法中,建议首先使用内部火用指示器,以快速有效地识别故障组件。然后计算参考条件和降解条件下识别出的故障组件的内源于火用破坏,并进行比较以进行准确定量。通用诊断方法适用于复杂的实际案例研究,其中将几种故障同时引入到不同的组件中。结果表明,所提出的指标可以快速识别异常源,同时成功地消除内生火用,并有效地量化所有引入的故障。 (c)2017 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Energy Conversion & Management》 |2017年第9期|1453-1467|共15页
  • 作者单位

    North China Elect Power Univ, Natl Res Ctr Thermal Power Engn, Beinong Rd 2, Beijing 102206, Peoples R China|North China Elect Power Univ, Technol Res Ctr, Beinong Rd 2, Beijing 102206, Peoples R China|Tech Univ Berlin, Inst Energy Engn, Marchstr 18, D-10587 Berlin, Germany|Swiss Fed Inst Technol Lausanne, Ind Proc & Energy Syst Engn, Rue Ind 17, CH-1951 Sion, Switzerland;

    North China Elect Power Univ, Natl Res Ctr Thermal Power Engn, Beinong Rd 2, Beijing 102206, Peoples R China|North China Elect Power Univ, Technol Res Ctr, Beinong Rd 2, Beijing 102206, Peoples R China|Shenhua Guohua Beijing Elect Power Res Inst, Beijing 100025, Peoples R China;

    North China Elect Power Univ, Natl Res Ctr Thermal Power Engn, Beinong Rd 2, Beijing 102206, Peoples R China|North China Elect Power Univ, Technol Res Ctr, Beinong Rd 2, Beijing 102206, Peoples R China;

    Tech Univ Berlin, Inst Energy Engn, Marchstr 18, D-10587 Berlin, Germany;

    North China Elect Power Univ, Natl Res Ctr Thermal Power Engn, Beinong Rd 2, Beijing 102206, Peoples R China|North China Elect Power Univ, Technol Res Ctr, Beinong Rd 2, Beijing 102206, Peoples R China;

    Tech Univ Berlin, Inst Energy Engn, Marchstr 18, D-10587 Berlin, Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Performance diagnosis; Malfunction identification and quantification; Internal exergy indicator; Endogenous exergy destruction;

    机译:绩效诊断;故障鉴定与量化;内部火用指示剂;内源性火用破坏;

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