Comparative study of interior surface temperatures in a built space in Querétaro using infrared thermography and CFD modeling
PDF (Spanish)

Keywords

thermal analysis
global warming
CFD
thermal comfort
solar radiation
heat transfer

How to Cite

[1]
M. J. Ugalde Fonseca, I. F. . Arjona Catzim, L. F. Pérez Moreno, and E. Rico García, “Comparative study of interior surface temperatures in a built space in Querétaro using infrared thermography and CFD modeling”, PCT, vol. 9, no. 16, pp. 23–41, Sep. 2026, doi: 10.61820/pct.%x.v9n16.2036.

Abstract

This study analyzes the indoor thermal behavior of a building constructed in Huimilpan, Querétaro, by comparing experimental measurements taken 
with an infrared thermal imaging camera versus numerical simulations based on computational fluid dynamics (CFD). The 16.38 m² building consists of concrete block walls, a galvanized sheet metal roof, as well as cast-in-place concrete structural elements. All measurements were taken on June 7, 2025, at 2:00 p.m., recording surface temperatures on interior walls and external environmental conditions. Sequentially, a three-dimensional virtual model was constructed by means of a poly-hexcore mesh, and boundary conditions based on in situ data were applied, including solar radiation and cross-ventilation. The results show high consistency between simulated and experimental values, with determination coefficients greater than 0.93 on the four walls evaluated. It was found that orientation has direct influence on the thermal response, with greater variability observed in walls exposed to intense solar radiation. The CFD model demonstrated its ability to reproduce observed thermal trends, validating its reliability as a tool in thermal comfort analysis and in the implementation of passive design strategies. It is concluded that the integration of simulations calibrated with experimental data can support architectural and urban planning in specific climatic contexts.

PDF (Spanish)

References

Comisión Nacional del Agua (Conagua), “Resumen mensual de temperaturas máximas: Abril 2025, Ciudad de México”. Servicio Meteorológico Nacional. https://smn.conagua.gob.mx/es/climatologia/temperaturas-y-lluvias/resumenes-mensuales-de-temperaturas-y-lluvias

P. R. Mondelo, E. Gregori Torada, S. Comas Úriz, E. Castejón Vilella y E. Bartolomé Lacambra, Ergonomía 2. Confort y estrés térmico. México: Alfaomega, 2001.

Servicio Meteorológico Nacional, “Temperatura Máxima Promedio por Entidad Federativa y Nacional 2025”, Servicio Meteorológico Nacional. https://www.gob.mx/smn/es/articulos/temperaturas-maximas-del-pais

V. Masson-Delmotte, Climate Change 2021: The Physical Science Basis. Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, V. Masson-Delmotte et

al., Eds. Reino Unido y Estados Unidos: Cambridge University Press, 2023, DOI: 10.1017/9781009157896

X. Xiang, Y. He, y N. Li, “Evaluating annual thermal discomfort time ratio of indoor occupants caused by solar radiation using a novel model”, Architectural Intelligence, vol. 3, 2024,DOI: 10.1007/s44223-024-00072-1

G. Betti, F. Tartarini, C. Nguyen y S. Schiavon, “CBE Clima Tool: A free and open-source web application for climate analysis tailored to sustainable building design”, Building Simulation, vol. 17, pp. 493-508, 2023, DOI: 10.1007/s12273-023-1090-5

A. De Lieto Vollaro, G. Galli, y A. Vallati, “CFD Analysis of Convective Heat Transfer Coefficient on External Surfaces of Buildings”, Sustainability, vol. 7, núm. 7, pp. 9088-9099, 2015, DOI: 10.3390/su7079088

M. Hajdukiewicz, M. Geron y M. M. Keane, “Formal calibration methodology for CFD models of naturally ventilated indoor environments”, Building and Environment, vol. 59, pp. 290-302, 2013, DOI: 10.1016/j. buildenv.2012.08.027

J. A. Fernández Benítez y C. Corrochano Sánchez, Fundamentos de Transmisión de Calor, 2a ed. España: DEXTRA Editorial, 2014.

F. P. Incropera y D. P. DeWitt, Fundamentos de transferencia de calor, 4a ed. México: Prentice Hall, 1999.

H. K. Versteeg y W. Malalasekera, An Introduction to Computational Fluid Dynamics:

The Finite Volume Method, 2a ed. Inglaterra: Pearson Education Limited, 2007.

T. Norton, D.-W. Sun, J. Grant, R. Fallon, y V. Dodd, “Applications of computational fluid dynamics (CFD) in the modelling and design of ventilation systems in the agricultural industry: A review”, Bioresource Technology, vol. 98, núm. 12, 2007, DOI: https://doi. org/10.1016/j.biortech.2006.11.025

C. H. Galeano Urueña, J. M. Mantilla Gon- zález, y J. C. Galvis Arrieta, El método de

los elementos finitos: un enfoque teórico práctico. Colombia: Universidad Nacional de Colombia, 2016.

R. A. Estrada Cingualbres, Análisis por ele mentos finitos (FEA): cosmosWorks 2006. Cuba: Editorial Universitaria, 2014.

C. Hernández Pezzi, Un Vitruvio ecológico: principios y práctica del proyecto arquitectónico sostenible. España: Gustavo Gili, 2012.

L. A. Mondragón del Ángel, “Acceso solar en México: Caso de estudio Querétaro”, SketchIn. Revista de Arquitectura y Diseño, vol. 4, núm. 7, pp. 58-69, 2021. [En línea]. Disponible en: https://revistas.uaq.mx/index.php/sketchin/article/view/58-69

Testo SE & Co. KGaA, “testo 445 - Medidor para climatización”. Testo. https://www.testo. com/es-MX/testo-445/p/0560-4450

Final Test, “FLIR-I5, Cámara Termográfica. 9Hz, Rango de Medición de Temperatura de -20 °C a 250 °C (-4 °F a 482 °F), Resolución de 100 × 100 Pixeles, Enfoque Libre”. Final Test. https://www.finaltest.com.mx/FLIR-I5-C- mara-Termo-p/flir-i5.htm

Thermal Environmental Conditions for Human Occupancy, ANSI/ASHRAE Standard 55, American Society of Heating, Refrigerating and Air-Conditioning Engineers, Estados Unidos, 2020. [En línea]. Disponible en: https://www.ashrae.org/technical-resources/bookstore/standard-55-thermal-environmental-conditions-for-human-occupancy

American Society of Heating, Refrigerating and Air-Conditioning Engineers, ASHRAE Handbook - Fundamentals. Estados Unidos: ASHRAE, 2021.

Integrated Environmental Solutions (IES), “Table 6 Thermal Conductivity, Specific Heat Capacity and Density”. IES Virtual Environment Help. https://help.iesve.com/ve2021/table_6_thermal_conductivity__specific_heat_capacity_and_density.htm

R. W. Kim, I. B. Lee, y K. S. Kwon, “Evaluation of wind pressure acting on multi-span greenhouses using CFD technique, Part 1: Development of the CFD model”, Biosystems Engineering, vol. 164, pp. 235-256, 2017, DOI: 10.1016/j.biosystemseng.2017.09.008

ANSYS, Inc., “Boundary Conditions”. ANSYS Fluent User's Guide. https://ansyshelp.ansys.com/public/account/secured?returnurl=/Views/Secured/corp/v242/en/flu_ug/flu_ug_bcs_sec_bound_cond.html

ANSYS, Inc., “1.2. Program Capabilities”. ANSYS Fluent User's Guide. https://ansyshelp.ansys.com/public/account/secured?returnurl=/Views/Secured/corp/v242/en/flu_ug/flu_gs_sec_gs_capabilities.html

ANSYS, Inc., “6.1. Improving the Mesh”. ANSYS Fluent User's Guide. https://ansyshelp.ansys.com/public/account/secured?returnurl=/Views/Secured/corp/v252/en/flu_ug/tgd_user_improve_mesh.html

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Copyright (c) 2026 Perspectivas de la Ciencia y la Tecnología