Mapping Comfort with the SMART (Spherical Motion Average Radiant Temperature) Sensor

Teitelbaum, Eric; Guo, Hu; Read, Jake; Meggers, Forrest

doi:10.26868/25222708.2017.644

Cited by 4 publications

(1 citation statement)

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“…This aspect, overlooked by the aforementioned methods, may be assessed by means of thermography as shown by Asano (1996) and later improved by Tamura (2001). Therefore, an interest exists in obtaining spatial information within a scene, either to show the average surface temperature of each element in the scene as the result of a simulation (Nytsch-Geusen, 2017), or to map user's comfort with a high level of detail within an occupied space (Teitelbaum, 2017). Recent technological advances have allowed to manufacture high resolution thermal cameras with additional features at affordable prices, facilitating the entry of this technology into the world of measurement and the built environment.…”

Section: Introductionmentioning

confidence: 99%

4π Thermograms : A ProjectionTo Understand Thermal Balance

Miño¹,

Lawrence²,

Beckers³

Building Simulation Conference Proceedings

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The objective of this work is to represent in a compact and synthetic way surface temperatures at different points of interest throughout an urban scene, by building 4π Thermograms. From a geometrical approach, combining thermography and photographic techniques, a panoramic thermogram is assembled, which enables all directions to be seen from one position. This spherical representation of the data permits to observe the radiative phenomena in a spatialized way allowing its quantification and better understanding. Spatialized distribution of radiation could be expressed as an average temperature weighted by the area of all objects surrounding the measuring point. This emerges as an interesting alternative for measuring the mean radiant temperature in a complex urban scene where multiple heterogeneous surfaces must be considered.

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Section: Introductionmentioning

confidence: 99%