Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 102878 |
| Fachzeitschrift | Sustainable Cities and Society |
| Jahrgang | 70 |
| Frühes Online-Datum | 26 März 2021 |
| Publikationsstatus | Veröffentlicht - Juli 2021 |
Abstract
A microclimate ENVI-met model is one type of the existing software that can predict the building’s surface temperature by considering the urban texture as well as the physical properties of the material.
Since accurate determination of climatic variables largely depends on the adjustment of different computational parameters, this paper aims to evaluate the reliability of the ENVI-met with different model settings for both summer and winter in Hanover, Germany.
According to the model verification, it is suggested to apply full-forcing weather data based on cloud cover for simulations and set a building’s inside temperature constant during the winter and vary during the summer. Also, comparing the different facade modes shows that for the exposed smooth facade, the predicted surface temperature based on DIN 6946 is more accurate than the MO method.
Finally, the accuracy of the model in predicting the building’s surface temperature varies, depending on the urban structure and climate condition. The model is more reliable in common urban areas than semi-closed spaces. Moreover, an average RMSE during summer is ∼ 2.2 °C higher than in winter.
ASJC Scopus Sachgebiete
- Sozialwissenschaften (insg.)
- Geografie, Planung und Entwicklung
- Sozialwissenschaften (insg.)
- Verkehr
- Energie (insg.)
- Erneuerbare Energien, Nachhaltigkeit und Umwelt
- Ingenieurwesen (insg.)
- Tief- und Ingenieurbau
Ziele für nachhaltige Entwicklung
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in: Sustainable Cities and Society, Jahrgang 70, 102878, 07.2021.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Prediction of surface temperature of building surrounding envelopes using holistic microclimate ENVI-met model
AU - Forouzandeh, Aysan
PY - 2021/7
Y1 - 2021/7
N2 - Simulating the building’s surface condition as one of the important factors helps to predict the building’s energy consumption, mould growth and deterioration of materials.A microclimate ENVI-met model is one type of the existing software that can predict the building’s surface temperature by considering the urban texture as well as the physical properties of the material.Since accurate determination of climatic variables largely depends on the adjustment of different computational parameters, this paper aims to evaluate the reliability of the ENVI-met with different model settings for both summer and winter in Hanover, Germany.According to the model verification, it is suggested to apply full-forcing weather data based on cloud cover for simulations and set a building’s inside temperature constant during the winter and vary during the summer. Also, comparing the different facade modes shows that for the exposed smooth facade, the predicted surface temperature based on DIN 6946 is more accurate than the MO method.Finally, the accuracy of the model in predicting the building’s surface temperature varies, depending on the urban structure and climate condition. The model is more reliable in common urban areas than semi-closed spaces. Moreover, an average RMSE during summer is ∼ 2.2 °C higher than in winter.
AB - Simulating the building’s surface condition as one of the important factors helps to predict the building’s energy consumption, mould growth and deterioration of materials.A microclimate ENVI-met model is one type of the existing software that can predict the building’s surface temperature by considering the urban texture as well as the physical properties of the material.Since accurate determination of climatic variables largely depends on the adjustment of different computational parameters, this paper aims to evaluate the reliability of the ENVI-met with different model settings for both summer and winter in Hanover, Germany.According to the model verification, it is suggested to apply full-forcing weather data based on cloud cover for simulations and set a building’s inside temperature constant during the winter and vary during the summer. Also, comparing the different facade modes shows that for the exposed smooth facade, the predicted surface temperature based on DIN 6946 is more accurate than the MO method.Finally, the accuracy of the model in predicting the building’s surface temperature varies, depending on the urban structure and climate condition. The model is more reliable in common urban areas than semi-closed spaces. Moreover, an average RMSE during summer is ∼ 2.2 °C higher than in winter.
KW - ENVI-met
KW - Building surrounding envelopes
KW - Surface temperature
UR - http://www.scopus.com/inward/record.url?scp=85103610957&partnerID=8YFLogxK
U2 - 10.1016/j.scs.2021.102878
DO - 10.1016/j.scs.2021.102878
M3 - Article
VL - 70
JO - Sustainable Cities and Society
JF - Sustainable Cities and Society
SN - 2210-6707
M1 - 102878
ER -