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Radiometric Modeling of Mechanical Draft Cooling Towers to Assist in the Extraction of their Absolute Temperature from Remote Thermal Imagery

机译:机械通风冷却塔的辐射建模,以帮助从远程热成像中提取其绝对温度

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Determining the internal temperature of a mechanical draft cooling tower (MDCT) from remotely-sensed thermal imagery is important for many applications that provide input to energy-related process models. The problem of determining the temperature of a MDCT is unique due to the geometry of the tower and due to the exhausted water vapor plume. The radiance leaving the tower is dependent on the optical and thermal properties of the tower materials (i.e., emissivity, BRDF, temperature, etc.) and also the internal geometry of the tower. The tower radiance is then propagated through the exhaust plume and through the atmosphere to arrive at the sensor. The expelled effluent from the tower consists of a warm plume with a higher water vapor concentration than the ambient atmosphere. Given that a thermal image has been atmospherically compensated, the remaining sources of error in extracted tower temperature due to the exhausted plume and the tower geometry must be accounted for. A temperature correction factor due to these error sources will be derived through the use of three-dimensional radiometric modeling. A range of values for each important parameter are modeled to create a target space (i.e., look-up table) that predicts the internal MDCT temperature for every combination of parameter values. This LUT, along with user knowledge of the scene, provides a means to convert the image-derived apparent temperature into the estimated absolute temperature of a MDCT. Preliminary results indicate that temperature error corrections of approximately 1-9 Kelvin can be achieved with the range of MDCT parameters encompassed by the LUT.
机译:从遥感热像图确定机械通风冷却塔(MDCT)的内部温度对于为能源相关过程模型提供输入的许多应用很重要。由于塔的几何形状以及由于排出的水蒸气羽流,确定MDCT的温度的问题是独特的。离开塔的辐射取决于塔材料的光学和热特性(即发射率,BRDF,温度等)以及塔的内部几何形状。然后,塔的辐射通过废气流和大气传播,到达传感器。从塔中排出的流出物由温暖的羽状物组成,该羽状物的水蒸气浓度高于周围大气的浓度。假设已经对热图像进行了大气补偿,则必须考虑由于烟羽耗尽和塔架几何形状而导致的塔架提取温度中的其余误差源。由于这些误差源而产生的温度校正因子将通过使用三维辐射建模来得出。对每个重要参数的值范围进行建模以创建目标空间(即查找表),该空间可预测参数值的每种组合的内部MDCT温度。该LUT与用户对场景的了解一起,提供了一种将图像派生的视在温度转换为MDCT的估计绝对温度的方法。初步结果表明,LUT所涵盖的MDCT参数范围可以实现大约1-9开尔文的温度误差校正。

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