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

Roberto Robledo-Fava, Mónica C. Hernández-Luna, Pedro Fernández- de-Córdoba, Humberto Michinel, Sonia Zaragoza, A Castillo-Guzman and Romeo Selvas-Aguilar
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Roberto Robledo-Fava: UMPA, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022 Valencia, Spain
Mónica C. Hernández-Luna: UMPA, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022 Valencia, Spain
Pedro Fernández- de-Córdoba: UMPA, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022 Valencia, Spain
Humberto Michinel: Applied Physics Department, Universidade de Vigo, As Lagoas s/n, 32004 Ourense, Spain
Sonia Zaragoza: Escuela Politécnica Superior, Universidade da Coruña, Mendizábal s/n, 15403 Ferrol, Spain
A Castillo-Guzman: Universidad Autónoma de Nuevo León, Facultad de Ciencias Físico-Matemáticas, Av. Universidad S/N, Ciudad Universitaria, San Nicolas de los Garza, Nuevo León 66455, Mexico
Romeo Selvas-Aguilar: Universidad Autónoma de Nuevo León, Facultad de Ciencias Físico-Matemáticas, Av. Universidad S/N, Ciudad Universitaria, San Nicolas de los Garza, Nuevo León 66455, Mexico

Energies, 2019, vol. 12, issue 8, 1-23

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.

Keywords: Monte Carlo method; ISO 7730; TRNSYS (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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