A street in perspective: Thermography simulated by the finite element method

Aguerre, José Pedro; Nahon, Raphaël; García‐Nevado, Elena; Borderie, Christian La; Fernández, Eduardo; Beckers, Benoît

doi:10.1016/j.buildenv.2018.11.007

Cited by 11 publications

(13 citation statements)

References 36 publications

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“…The new methodology was developed as an incremental improvement over previous works [BGN19, ANGN*19]. These previous works were based on a simplified geometry of the scene, whereas in this paper, a higher level of detail geometry was integrated into the FEM solver.…”

Section: Resultsmentioning

confidence: 99%

“…Following Aguerre et al . [ANGN*19], we propose using FEM to address the processing stage, because it allows for the simulation of urban geometries using different types and sizes of elements, and because the results provide the temperature distribution across every surface based on the selected shape functions. This stage requires the heaviest computations because several physical phenomena must be incorporated in the calculations.…”

Section: Methodsmentioning

confidence: 99%

“…For this, two steps are necessary: the estimation of the sky emitted light and the calculation of the radiative exchange between the city objects. As proposed in [ANGN*19], the Liu and Jordan clear sky model [LJ60] is used to estimate the direct and diffuse sky emissions, taking the measured global horizontal irradiances as input. A sky vault partition [BB14] with 2400 tiles is used to account for the anisotropy of the emission.…”

Section: Methodsmentioning

confidence: 99%

“…Thermal imaging of urban scenes has become a recent topic of interest because it provides spatialized information about the thermal behaviour of the city [BGN19]. However, the interpretation of the resulting images is a difficult task [DICM05], and therefore numerical simulations have been developed for assessing the reliability of measurements [PMMR*06, ANGN*19]. Moreover, combining thermal images and simulations can help understanding the physical, material and geometrical complexity that is involved in urban environments.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, for thermography rendering, working with suitable infrared material characteristics such as directional emissivities and reflectivity functions [SW98] and their effect on the results must be studied. In this sense, the main contributions of the present work, in comparison with [ANGN*19], are the integration of directional infrared properties in the simulations, the addition of a rendering stage in which these models are especially important and the use of a much detailed urban geometry to obtain a better matching between measured and rendered results.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Physically Based Simulation and Rendering of Urban Thermography

Aguerre

García‐Nevado

Miño

et al. 2020

Computer Graphics Forum

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Urban thermography is a non‐invasive measurement technique commonly used for building diagnosis and energy efficiency evaluation. The physical interpretation of thermal images is a challenging task because they do not necessarily depict the real temperature of the surfaces, but one estimated from the measured incoming radiation. In this sense, the computational rendering of a thermal image can be useful to understand the results captured in a measurement campaign. The computer graphics community has proposed techniques for light rendering that are used for its thermal counterpart. In this work, a physically based simulation methodology based on a combination of the finite element method (FEM) and ray tracing is presented. The proposed methods were tested using a highly detailed urban geometry. Directional emissivity models, glossy reflectivity functions and importance sampling were used to render thermal images. The simulation results were compared with a set of measured thermograms, showing good agreement between them.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%