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Analysis of the Influence Subjective Human Parameters in the Calculation of Thermal Comfort and Energy Consumption of Buildings

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http://hdl.handle.net/2183/23264
Atribución 3.0 España
Excepto si se señala otra cosa, la licencia del ítem se describe como Atribución 3.0 España
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  • Investigación (FIC) [1685]
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Título
Analysis of the Influence Subjective Human Parameters in the Calculation of Thermal Comfort and Energy Consumption of Buildings
Autor(es)
Robledo Fava, Roberto
Hernández Luna, Mónica Cynthia
Fernández de Córdoba, Pedro
Michinel, Humberto
Zaragoza, Sonia
Castillo-Guzman, A.
Selvas-Aguilar, Romeo
Fecha
2019
Cita bibliográfica
ROBLEDO-FAVA, Roberto, et al. Analysis of the Influence Subjective Human Parameters in the Calculation of Thermal Comfort and Energy Consumption of Buildings. Energies, 2019, vol. 12, no 8, p. 1531.
Resumen
[Abstract] In the present work, we analyze the influence of the designer’s choice of values for the human metabolic index (met) and insulation by clothing (clo) that can be selected within the ISO 7730 for the calculation of the energy demand of buildings. To this aim, we first numerically modeled, using TRNSYS, two buildings in different countries and climatologies. Then, we consistently validated our simulations by predicting indoor temperatures and comparing them with measured data. After that, the energy demand of both buildings was obtained. Subsequently, the variability of the set-point temperature concerning the choice of clo and met, within limits prescribed in ISO 7730, was analyzed using a Monte Carlo method. This variability of the interior comfort conditions has been finally used in the numerical model previously validated, to calculate the changes in the energy demand of the two buildings. Therefore, this work demonstrated that the diversity of possibilities offered by ISO 7730 for the choice of clo and met results, depending on the values chosen by the designer, in significant differences in indoor comfort conditions, leading to non-negligible changes in the calculations of energy consumption, especially in the case of big buildings.
Palabras clave
Monte Carlo method
ISO 7730
TRNSYS
 
Versión del editor
https://doi.org/10.3390/en12081531
Derechos
Atribución 3.0 España
ISSN
1996-1073

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