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'Advanced Diagnostics – Predictive analysis for Combined Cycle Power Plants through an Integrated Energetic, Exergetic and Thermo-economic method'

机译:'先进的诊断 - 通过综合精力,前进和热经济方法对组合循环发电厂的预测分析

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The increasing need of maintenance costs reduction and productivity improvement, called by the strong competition on energy market, led the development of more incisive methods to discover anomalies. Nowadays, advanced diagnostics is crucial for early detection of malfunctions and degradation of the power plant components. Above all, the Thermodynamic analysis, for its intrinsic characteristic of dealing with slow varying phenomena, is one of the most effective tools for predicting anomalies on the whole power system. In the last years a dedicated software, which involves both the Thermodynamic first and second laws, has been developed by Ansaldo Energia, together with University of Genoa. In this paper, the latest release of the tool is presented, along with some examples coming from the daily diagnostics, demonstrating the capabilities of an integrated approach in isolating anomalous system behaviours. As the starting point, the energetic approach was used to implement an online tool for performance calculation of Gas Turbines and the main Combined Cycles components. The second law analysis has been then added in order to obtain both different and redundant information on the condition of the various elements; the exergetic efficiency and, above all, the destroyed exergy have proved to be compelling indicators of the health of Gas Turbines, Steam Turbines, Heat Exchangers and Condensers. Finally, the thermo-economic indicators provide an estimation of the costs of the entropic losses related to the behaviour of the different parts of a power plant: the increase of the exergetic costs, together with the clues stemming from the other performance indicators, allows to point out the origin of malfunction and plan the most worthwhile timing to intervene.
机译:由于能源市场上强劲竞争,越来越多的维护成本需求降低和生产力提高,导致开发更加激烈的方法来发现异常。如今,先进的诊断对于早期检测出现故障和发电厂组件的降低至关重要。最重要的是,热力学分析,用于其处理缓慢变化现象的内在特征,是预测整个电力系统的异常的最有效工具之一。在过去几年中,涉及热力学第一和第二法律的专用软件已经由Ansaldo Energia与热那亚大学开发。在本文中,提出了该工具的最新版本,以及来自日常诊断的一些示例,展示了集成方法在隔离异常系统行为中的能力。作为起点,使用能量方法来实现用于燃气轮机的性能计算的在线工具和主要组合循环组件。然后添加了第二法律分析,以便在各种元素的条件下获得不同和冗余的信息;官方效率,最重要的是,被摧毁的驱动证明是令人信服的燃气轮机,蒸汽轮机,热交换器和冷凝器的健康指标。最后,热经济指标估算了与发电厂不同部位的行为有关的熵损失成本:促进成本的增加,以及来自其他绩效指标的线索,允许指出故障的起源,并计划介入最有价值的时间。

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