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Development of a Pattern Recognition Methodology with Thermography and Implementation in an Experimental Study of a Boiler for a WHRS-ORC

机译:一种在WHRS-ORC锅炉实验研究中与热成像和实施的模式识别方法的发展

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摘要

Waste heat dissipated in the exhaust system in a combustion engine represents a major source of energy to be recovered and converted into useful work. A waste heat recovery system (WHRS) based on an Organic Rankine Cycle (ORC) is a promising approach, and it gained interest in the last few years in an automotive industry interested in reducing fuel consumption and exhaust emissions. Understanding the thermodynamic response of the boiler employed in an ORC plays an important role in steam cycle performance prediction and control system design. The aim of this study is, therefore, to present a methodology to study these devices by means of pattern recognition with infrared thermography. In addition, the experimental test bench and its operating conditions are described. The methodology proposed identifies the wall coordinates, traces the paths, and tracks the wall temperature along them in a way that can be exported for subsequent post-processing and analysis. As for the results, through the wall temperature paths on both sides (exhaust gas and working fluid), it was possible to quantitatively estimate the temperature evolution along the boiler and, in particular, the beginning and end of evaporation.
机译:在内燃机中排气系统中散发的废热代表要回收并转换成有用的工作的主要能量来源。基于有机朗肯循环(ORC)的废热回收系统(WHRS)是一种很有前途的方法,它在过去几年中,汽车行业希望降低燃油消耗和废气排放获得的利益。了解ORC中使用的锅炉的热力学响应在蒸汽循环性能预测和控制系统设计中起着重要作用。因此,本研究的目的是通过用红外热成像通过模式识别来提出一种研究这些装置的方法。此外,还描述了实验测试台及其操作条件。提出的方法识别墙壁坐标,跟踪路径,并以可以导出用于后续后处理和分析的方式跟踪墙体温度。至于结果,通过两侧(废气和工作流体)上的壁温路径,可以定量地估计沿锅炉的温度演变,特别是蒸发的开始和结束。

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