TY - JOUR
T1 - Scrutinizing modeling and analysis methods for evaluating overheating risks in passive houses
AU - Goncalves, Vitor
AU - Ogunjimi, Yewande
AU - Heo, Yeonsook
N1 - Funding Information:
We would to thank Edward Barsely for the use of his design ‘A home for all seasons’ as a case study for this research and his support in the initial stages of its development. This work is supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant 21HSCT-B157919-02).
Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/3/1
Y1 - 2021/3/1
N2 - In response to the increasing demand for energy efficient houses, passive houses are quickly becoming a required standard for new buildings. Despite their energy efficiency, the occupants have reported thermal discomfort during the summer. This study investigates the effects of choices made in the process of evaluating overheating risks in passive houses. Key questions raised in this study relate to the effects of different thermal comfort criteria, the relevance of the building's energy model to represent airflow phenomena, and the role of uncertainty associated with simulation models utilized for the analysis. The overheating assessment results were observed to be highly dependent on thermal comfort criterion choices, and the energy model was found to undervalue the overheating hours by 33.33% due to design infiltration and ventilation rate overestimation. This result highlighted the necessity of properly modeling airflow phenomena by coupling the thermal and airflow network models for overheating analysis. The sensitivity analysis results indicated that although most of the dominant uncertain parameters are included in the thermal model, when analyzing the output variance caused by the uncertainty related to each modeling method, both the thermal (82.5%) and airflow network (17.5%) models showed a significant variance in the number of overheating hours.
AB - In response to the increasing demand for energy efficient houses, passive houses are quickly becoming a required standard for new buildings. Despite their energy efficiency, the occupants have reported thermal discomfort during the summer. This study investigates the effects of choices made in the process of evaluating overheating risks in passive houses. Key questions raised in this study relate to the effects of different thermal comfort criteria, the relevance of the building's energy model to represent airflow phenomena, and the role of uncertainty associated with simulation models utilized for the analysis. The overheating assessment results were observed to be highly dependent on thermal comfort criterion choices, and the energy model was found to undervalue the overheating hours by 33.33% due to design infiltration and ventilation rate overestimation. This result highlighted the necessity of properly modeling airflow phenomena by coupling the thermal and airflow network models for overheating analysis. The sensitivity analysis results indicated that although most of the dominant uncertain parameters are included in the thermal model, when analyzing the output variance caused by the uncertainty related to each modeling method, both the thermal (82.5%) and airflow network (17.5%) models showed a significant variance in the number of overheating hours.
KW - Coupled model
KW - Overheating risk
KW - Passive houses
KW - Thermal comfort model
KW - Uncertainty analysis
UR - http://www.scopus.com/inward/record.url?scp=85099442271&partnerID=8YFLogxK
U2 - 10.1016/j.enbuild.2020.110701
DO - 10.1016/j.enbuild.2020.110701
M3 - Article
AN - SCOPUS:85099442271
SN - 0378-7788
VL - 234
JO - Energy and Buildings
JF - Energy and Buildings
M1 - 110701
ER -