An innovative approach to assess the limitations of characterizing solar gains in buildings: A Spanish case study
Metadatos
Mostrar el registro completo del ítemAutor
Bienvenido Huertas, José David; Sánchez-García, Daniel; Tejedor, Blanca; Rubio-Bellido, CarlosEditorial
Elsevier
Materia
Buildings Energy performance Solar gains Accumulated solar irradiation Climate classification Cluster analysis
Fecha
2023-05-30Referencia bibliográfica
D. Bienvenido-Huertas et al. An innovative approach to assess the limitations of characterizing solar gains in buildings: A Spanish case study. Energy & Buildings 293 (2023) 113206[https://doi.org/10.1016/j.enbuild.2023.113206]
Patrocinador
Spanish Ministry of Science and Innovation; Project PID2021-122437OA-I00 “Positive Energy Buildings Potential for Climate Change Adaptation and Energy Poverty Mitigation (+ENERPOT)”; Thematic Network 723RT0151 “Red Iberoamericana de Eficiencia y Salubridad en Edificios” (IBERESE) financed by the call for Thematic Networks of the CYTED Program for 2022Resumen
A minimal energy demand should be required in buildings both to optimize the performance of the building
façade and to control solar gains. According to the existing studies and national standards, the climate zone
classification is usually based on both the degree-days methodology and outdated climate data, thus managing
HVAC systems inappropriately or leading to users’ thermal discomfort in indoor spaces. To evaluate the current
limitations and to characterize solar gains in the Spanish building stock, an innovative approach is presented. For
this purpose, seven clustering algorithms were implemented by distinguishing between winter and summer
seasons during the calculation procedures. Solar irradiation from 8,948 locations in Spain were used. Likewise,
the control of solar gains was analysed with the regulatory approach of Spain and with those developed through
the study. The results of this research revealed that climate zones set by the Spanish Technical Building Code
could imply to use values of monthly accumulated solar irradiation with discrepancies between 43.17 and 84.41
kWh/m2, compared to the real values. Hence, an accurate method focused on k-means clustering should be
adopted. Furthermore, the results can be used for a more accurate analysis of solar control and improve the
energy efficiency of buildings.