Page - 87 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments
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This model is cost-effective in terms of the cost and the simulation time. Seasonal and
daily simulations can be obtained using few CPUs and shorter simulation times.
i
S [W/m 2
], Absorbed incident solar radiation from
the sun and the sky at solid surface patch i;
Si
R [W/m 2
], Absorbed short wave radiation from
urban surroundings at solid surface patch i;
i
L [W/m 2
], Absorbed long wave length radiation
from the atmosphere at solid surface patch i;
Li
R [W/m 2
], Absorbed long-wave radiation from
urban surroundings and total emitted long wave length
radiations from solid surface patch i;
i
G [W/m 2
], Conductive heat flux at solid surface
patch i;
i
H [W/m 2
], Sensible heat flux at solid surface patch i;
i
E [W/m 2
], Latent heat flux at solid surface patch i;
Q [W/m2], Total average indoor thermal loads per
building then averaged per m2;
t
H
[W/m2], Transient heat loads through building
envelope per building averaged per m2;
s
H
[W/m2], Solar heat loads per building then
averaged per m2;
is
H [W/m2], Sensible heat generated indoor per
building type then averaged per m2;
i
H [W/m2], Latent heat generated indoor per building
type then averaged per m2;
vs
H [W/m2], Sensible heat loads from ventilation per
building averaged per m2;
v
H [W/m2], Latent heat loads from ventilation per
building averaged per m2;
f
H [W/m2], Radiated heat loads from floor per
building averaged per m2;
a [m2/m3], Leaf area density (=1.5);
d
C [-], Drag coefficient of tree crown (=0.2);
p
C [J/kgk], Specific heat at constant pressure;
q
F , [kg/m2s] Humidity flux;
S
F , [W/m2] Convective sensible heat flux;
f , Coriolis parameter φsin2Ω−=f ;
Ω [rad/s], Angular velocity;
φ [rad], Latitude;
g [m/s2], Acceleration due to gravity; A
G [-], Opening area ratio in the computational grid
interface;
V
G [-], Volume fraction in the computational grid
centre;
k [m2/s2], Turbulent energy;
[J/kg], Latent heat of vaporisation;
a
M [kg/mol], Molecular weight of dry air;
v
M [kg/mol], Molecular weight of water vapour;
p [Pa], Atmospheric pressure;
P [-], Exner function;
T
Pr [-], Prandtl number of turbulent flow;
q [kg/kg], Specific humidity;
L
Q [W/m3], Anthropogenic heat (latent heat);
S
Q [W/m3], Anthropogenic heat (sensible heat);
R [J/kgk], Gas constant;
0
R [J/mol.k], Universal gas constant;
C
S [-], Schmidt number (=0.5);
T
Sc [-], Schmidt number of turbulent flow (=0.9);
S
S [m2], Emission area of convective sensible heat;
q
S [m2], Emission area of vapour;
T [k], Air temperature;
i
u [m/s], i Component of wind speed;
j
u [m/s], j Component of wind speed;
V [m3], Volume of analysed cell;
ε [m2/s3], Turbulent energy dissipation rate;
ki3
ε [-], Epsilon of Eddington;
θ [k], Potential temperature;
λ [W/m.k], Heat conductivity of air;
μ [Pa.s], Coefficient of viscosity of air;
T
μ [Pa.s], Coefficient of eddy viscosity;
ρ [kg/m3], Density;
Constants;
M.Bakkali andY.Ashie /RANSModelling forLocalClimates,EnergyUseandComfortPredictions 87
Intelligent Environments 2019
Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Title
- Intelligent Environments 2019
- Subtitle
- Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Authors
- Andrés Muñoz
- Sofia Ouhbi
- Wolfgang Minker
- Loubna Echabbi
- Miguel Navarro-Cía
- Publisher
- IOS Press BV
- Date
- 2019
- Language
- German
- License
- CC BY-NC 4.0
- ISBN
- 978-1-61499-983-6
- Size
- 16.0 x 24.0 cm
- Pages
- 416
- Category
- Tagungsbände