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Performance degradation diagnosis of thermal power plants: A method based on advanced exergy analysis

机译:火力发电厂性能退化诊断:基于高级火用分析的方法

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摘要

The performance of energy systems usually degrades gradually away from the best operation conditions during continuous operation. Since the components in an energy system are interconnected with each other, the performance degradation or anomalies occurring in one component can propagate downstream, affecting the performance of other components and even that of the whole system: Any anomaly occurring in a component may cause obvious performance degradation. However, locating the components where anomalies occur in an effective and accurate way is often difficult due to the interactions among components. Therefore, in this paper, we propose a diagnosis method to effectively locate the components with performance degradation, to find the sources over the system which may cause the degradation, thus to prevent the energy systems from anomalies. The proposed diagnosis method is based on the advanced exergy analysis, in which the 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 original sources causing the performance degradation. Therefore, the proposed method compares only the endogenous exergy destruction between the reference and degradation conditions for degradation quantification, once the degraded components are identified by an effective internal indicator. The diagnosis method is then applied to a case study of coal-fired power plant, in which the anomalies is introduced to one specific component. It is shown that the proposed method successfully and readily locates, and more importantly, quantifies the degradation. (C) 2016 Elsevier Ltd. All rights reserved.
机译:能源系统的性能通常会在连续运行过程中逐渐脱离最佳运行条件而逐渐降低。由于能源系统中的各个组件相互连接,因此一个组件中的性能下降或异常会向下游传播,从而影响其他组件甚至整个系统的性能:组件中发生的任何异常都可能导致明显的性能。降解。但是,由于部件之间的相互作用,通常难以以有效且准确的方式定位发生异常的部件。因此,在本文中,我们提出一种诊断方法,以有效地定位性能下降的组件,在系统上寻找可能导致性能下降的来源,从而防止能源系统出现异常。所提出的诊断方法基于高级的火用分析,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,外来的火用破坏是准确查明导致性能下降的原始来源的主要障碍。因此,一旦通过有效的内部指示剂识别出降解的成分,建议的方法仅将参考条件和降解条件之间的内源于火用破坏进行比较,以进行降解定量。然后将该诊断方法应用于一个燃煤电厂的案例研究,在该案例中,异常被引入一个特定的组件。结果表明,所提出的方法可以成功,轻松地定位,并且更重要的是,可以对退化进行量化。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Energy Conversion & Management》 |2016年第15期|219-229|共11页
  • 作者单位

    North China Elect Power Univ, Natl Thermal Power Engn & 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 Thermal Power Engn & 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;

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

    North China Elect Power Univ, Natl Thermal Power Engn & 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 degradation; Performance diagnosis; Advance exergy analysis; Endogenous exergy destruction; Coal-fired power plant;

    机译:性能下降;性能诊断;高级火用分析;内生火用破坏;燃煤电厂;

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