Seite - 87 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments

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