An inverse modeling approach for the thermal response modeling of green façades

Autor: Sašo Medved, Mohamed Hamdy, Tomaž Šuklje, Jan Hensen, Ciril Arkar
Přispěvatelé: Building Performance
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Materials science
Response model
Green facade
020209 energy
Inverse
vertical greenery systems
02 engineering and technology
udc:502.131.1+692.232(045)
Management
Monitoring
Policy and Law

evaporative cooling
Vertical greenery systems
020401 chemical engineering
Thermal
0202 electrical engineering
electronic engineering
information engineering

Apparent thermo-physical properties
SDG 7 - Affordable and Clean Energy
0204 chemical engineering
Evaporative cooling
prilagodljive termo-fizikalne lastnosti
Mechanical Engineering
green façade
Building and Construction
Mechanics
apparent thermo-physical properties
General Energy
Heat flux
Homogeneous
hlapilno hlajenje
climate adaptive building skins
ozelenjene fasade
Green façade
SDG 7 – Betaalbare en schone energie
Building envelope
Efficient energy use
Evaporative cooler
Climate adaptive building skins
Zdroj: Applied energy, vol. 235, pp. 1447-1456, 2019.
Applied Energy, 235, 1447-1456. Elsevier
ISSN: 0306-2619
Popis: Green façades or vertical greenery systems (VGSs) are continuously gaining attention among urbanists for improving the living comfort and energy efficiency in urban areas. However, modeling and simulating the thermal response of VGSs remains a research topic. This paper introduces a novel inverse modeling approach for modeling the thermal response of VGSs on building envelopes. The modeling approach considers the VGSs as a homogeneous layer with apparent thermo-physical properties. The approach optimizes the apparent thermo-physical properties by calibrating the inverse model using data generated by a detailed thermal response model of VGS or experimental data. It is shown that the predicted temperature of VGS deviates by less than ±1.3 °C, while the heat flux on the inner side of the building envelope deviates by less than ±0.3 W/m2 compared to the measured values.
Databáze: OpenAIRE