Abstract
The continuous city growth leads to the intensification of the Urban Heat Island effect (UHI) which involves several consequences for the in-habitant comfort. Countermeasures such as green roofs can mitigate the urban microclimate reducing the roof surface temperature and hence the surrounding air temperature. As most of the existing Italy building stock was built without or with poor thermal insulation, they need of interventions of energy retrofit. In particular, roofs are the component of the building envelope that are mainly engaged of both solar gains and thermal fluxes. Therefore, any interventions refurbishment should include the roof surface. This paper focuses on the analyses of the energy performance and the dynamic thermal behavior of a green roof implemented in an existing house-holiday situated in the south part of Sicily. Moreover, other two refurbishment scenarios that foresee the increase of the roof thermal insulation were analysed. Dynamic simulations have proven that the green roof reduce the energy needs, about 90% in the cooling period and 30% in the heating period; delays and attenuates the outdoor heat wave in comparison with traditional roofs, as well as diminishes the average daily temperature fluctuations. The reduction of the vegetated temperature area results about 10.0 °C lower than the one of a bare roof area.
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- Ce,g :
-
Latent heat flux bulk transfer coefficient at ground layer
- Cf :
-
Bulk heat transfer coefficient
- Ch,g :
-
Sensible heat flux bulk transfer coefficient at ground layer
- Cp,a :
-
Specific heat (J kg−1 K−1)
- DF:
-
Decrement factor (−)
- Ff :
-
Net heat flux to foliage layer (W m−2)
- Fg :
-
Net heat flux to ground surface (W m−2)
- hc :
-
Convective heat transfer coefficient (W m−2 K)
- hr :
-
Linear radiative heat transfer coefficient (W m−2 K)
- Hf :
-
Foliage sensible heat flux (W m−2)
- Hg :
-
Ground sensible heat flux (W m−2)
- I ↓ :
-
Total incoming short wave radiation (W m−2)
- I ↓ir :
-
Total incoming long wave radiation (W m−2)
- lf :
-
Latent heat of vaporization at foliage temperature (J kg−1)
- lg :
-
Latent heat of vaporization at ground temperature (J kg−1)
- Lf :
-
Foliage latent heat flux (W m−2)
- Lg :
-
Ground latent heat flux (W m−2)
- LAI:
-
Leaf area index (m m−2)
- PMV:
-
Predicted mean vote
- PPD:
-
Predicted percentage of dissatisfied
- qaf :
-
Mixing ratio for air
- qf,sat :
-
Saturation mixing ratio at foliage temperature
- qg,sat :
-
Saturation mixing ratio at ground temperature
- r‘‘ :
-
Surface wetness factor
- r:
-
Short wave reflectance (−)
- rf :
-
Short wave reflectance of the foliage (−)
- rg :
-
Short wave reflectance of the soil surface (−)
- s:
-
Thickness (m)
- S:
-
Total envelope surface area (m2)
- Sr :
-
Roof surface (m2)
- Su :
-
Net floor area (m2)
- SM:
-
Superficial mass (kg m−2)
- t:
-
Transmissivity (−)
- Taf :
-
Air temperature with in the canopy (°C)
- Tdb :
-
Dry bulb air temperature
- Tf :
-
Leaf temperature (°C)
- Tg :
-
Ground surface temperature (°C)
- Ti :
-
Indoor temperature (°C)
- TMRT :
-
Mean radiant temperature (°C)
- To :
-
Outdoor air temperature (°C)
- Top :
-
Opertive temperature (°C)
- Top,av :
-
Average opertive temperature (°C)
- Tsi :
-
Inner surface temperature (°C)
- Tso :
-
Outdoor surface temperature (°C)
- TL:
-
Time-lag (h)
- U:
-
Thermal transmittance (Wm−2 K−1)
- V:
-
Heated gross-volume (m3)
- Waf :
-
Wind speed with in the canopy (m/s)
- z:
-
Depth (m)
- αf :
-
Short wave absorptance of canopy (−)
- αg :
-
Short wave absorptance of the ground surface (−)
- εf :
-
Emissivity of canopy (−)
- εg :
-
Emissivity of the ground surface (−)
- ε1 :
-
Εf + εg − εf·εg
- g:
-
Radiant fraction
- λ:
-
Thermal conductivity (W m−2 K−1)
- ρaf :
-
Density of air at foliage temperature (kg m−3)
- ρag :
-
Density of air at ground surface temperature (kg m−3)
- ρg :
-
Density of growing medium (kg m−3)
- ρ:
-
Density (kg m−3)
Stefan-Boltzmann constant (W m−2 K−4)
- f:
-
Fractional vegetation coverage (−)
- τ:
-
Time (s)
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Gagliano, A., Detommaso, M., Nocera, F. (2017). Assessment of the Green Roofs Thermal Dynamic Behavior for Increasing the Building Energy Efficiencies. In: Littlewood, J., Spataru, C., Howlett, R., Jain, L. (eds) Smart Energy Control Systems for Sustainable Buildings. Smart Innovation, Systems and Technologies, vol 67. Springer, Cham. https://doi.org/10.1007/978-3-319-52076-6_2
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