Numerical solution of radiation view factors within a thermoelectric device

Barry, Matthew; Ying, Justin; Durka, Michael J.; Clifford, Corey E.; Reddy, Bale V.; Chyu, Minking K.

doi:10.1016/j.energy.2016.02.078

Cited by 12 publications

(3 citation statements)

References 18 publications

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“…At the same time, the view factor is defined as the percentage of radiant energy emitted from one surface to another surface, which reflects the geometric shape and positional relationship between different objects. In this study, pedestrians were regarded as micropoints, and the view factor evaluated by the spatial coordinate system and the direct integration method [50]. In addition, the surface temperatures were given from the thermal images, and the sky temperature was considered to be equal to the ambient air temperature.…”

Section: Estimation Of Mean Radiant Temperaturementioning

confidence: 99%

“…Energies 2020, 13, x FOR PEER REVIEW 5 of 15 study, pedestrians were regarded as micropoints, and the view factor evaluated by the spatial coordinate system and the direct integration method [50]. In addition, the surface temperatures were given from the thermal images, and the sky temperature was considered to be equal to the ambient air temperature.…”

Section: Estimation Of Mean Radiant Temperaturementioning

confidence: 99%

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Analysis of the Thermal Environment in Pedestrian Space Using 3D Thermal Imaging

Zhao

Luo²,

2020

Energies

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Pedestrian space is an important place for people’s outdoor activities. Its thermal environment affects pedestrian walking experience, route selection and physical health. This study presents a 3D thermography-based method to analyze and evaluate the spatial distribution of thermal comfort. The proposed 3D thermal image was generated using 3D city models captured by an unmanned aerial vehicle (UAV) and thermal images gathered by an infrared camera. It can visualize construction elements, but also simply output surface temperatures at selected points. This paper described the process of using 3D thermal images to analyze the built environment, and selected two pedestrian spaces as case study objects. Their thermal images and mean radiant temperatures (MRT) were obtained from field measurement data collected by a drone and infrared camera. The following findings were obtained: (a) the MRT difference in the pedestrian space between sunlit and shaded areas was more than 3 °C; (b) the MRT values at the measurement points near vegetation were lower; (c) when the ratio of street height to width (H/W) was larger, the MRT values at all measurement points varied slightly. These findings can be used for the designers to evaluate and improve the thermal environment in pedestrian space.

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Section: Estimation Of Mean Radiant Temperaturementioning

confidence: 99%

Section: Estimation Of Mean Radiant Temperaturementioning

confidence: 99%

Analysis of the Thermal Environment in Pedestrian Space Using 3D Thermal Imaging

Zhao

Luo²,

2020

Energies

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“…Resolving radiation interaction within a three-dimensional thermoelectric device cavity is a computationally intensive process [43]. For the purpose of analytical one-dimensional modeling, it is often more convenient to vary the radiation heat transfer coefficient h rad (eqn.…”

Section: Effect Of Radiation Coefficientmentioning

confidence: 99%