An experimental methodology for the calibration of indoor building environment models using thermal point clouds and CFD simulation

ABSTRACT

This paper presents an experimental methodology employing thermal point clouds (TPCs) of indoor spaces to develop and calibrate Computational Fluid Dynamics (CFD) models for simulating indoor building environments. TPCs, captured at various time intervals, provide geometry and surface temperatures of the space envelope are crucial for initial and final contrast parameters in model calibration. Segments from TPCs of interior surfaces serve as ground truth for calibrating theoretical CFD models. This involves adjusting boundary conditions to approximate real surface temperature distributions on selected walls. The innovative calibration approach incorporates automatic wall segmentation processes, enabling comparison between in-situ measured and simulated values. A case study assesses the similarity between real thermal orthoimages and CFD simulations, employing qualitative and quantitative analysis with a convergence criterion. Results validate the methodology, highlighting the need for further automation of manual processes.

KEYWORDS:

• CFD
• thermal point clouds
• innovative calibration
• indoors
• thermal properties

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the European Regional Development Fund (project SBPLY23180225000113) and the Spanish Ministry of Science, Innovation and Universities (project PID2022-141275OB-C21/AEI/10.13039/501100011033/ FEDER, UE).