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