Defining the Influence Region in neighborhood-scale CFD simulations for natural ventilation design
暂无分享,去创建一个
[1] Yoshihide Tominaga,et al. AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings , 2008 .
[2] Bje Bert Blocken,et al. Computational Fluid Dynamics for urban physics: Importance, scales, possibilities, limitations and ten tips and tricks towards accurate and reliable simulations , 2015 .
[3] Bje Bert Blocken,et al. On the effect of wind direction and urban surroundings on natural ventilation of a large semi-enclosed stadium , 2010 .
[4] Mats Sandberg,et al. Evaluation of Discharge Coefficients for Window Openings in Wind Driven Natural Ventilation , 2006 .
[5] Nicola Cardinale,et al. Analysis of energy saving using natural ventilation in a traditional Italian building , 2003 .
[6] Yoshihide Tominaga,et al. Velocity-pressure field of cross ventilation with open windows analyzed by wind tunnel and numerical simulation , 1992 .
[7] Siaw Kiang Chou,et al. Achieving better energy-efficient air conditioning - A review of technologies and strategies , 2013 .
[8] Shigeki Nishizawa,et al. Wind Pressure and Air Flow in a Full-Scale Building Model under Cross Ventilation , 2004 .
[9] Yin-Hao Chiu,et al. Turbulence effects on the discharge coefficient and mean flow rate of wind-driven cross-ventilation , 2009 .
[10] Yingxin Zhu,et al. Individual and district heating: A comparison of residential heating modes with an analysis of adaptive thermal comfort , 2014 .
[11] Qingyan Chen,et al. Natural Ventilation in Buildings: Measurement in a Wind Tunnel and Numerical Simulation with Large Eddy Simulation , 2003 .
[12] B. G. Wiren. Effects of surrounding buildings on wind pressure distributions and ventilative heat losses for a single-family house , 1983 .
[13] Maria Kolokotroni,et al. Cooling-energy reduction in air-conditioned offices by using night ventilation , 1999 .
[14] Rainald Löhner,et al. Comparisons of model simulations with observations of mean flow and turbulence within simple obstacle arrays , 2002 .
[15] Bert Blocken,et al. CFD simulation of near-field pollutant dispersion on a high-resolution grid : a case study by LES and RANS for a building group in downtown Montreal , 2011 .
[16] Chun-Ho Liu,et al. CFD simulations of natural ventilation behaviour in high-rise buildings in regular and staggered arr , 2011 .
[17] J. C. Phaff,et al. Pressure simulation program , 1995 .
[18] Rex Britter,et al. Simulations of pollutant dispersion within idealised urban-type geometries with CFD and integral models , 2007 .
[19] S. Chandra,et al. Correlations for pressure distribution on buildings and calculation of natural-ventilation airflow , 1988 .
[20] Leon R. Glicksman,et al. Design analysis of single-sided natural ventilation , 2003 .
[21] T. Oke. Street design and urban canopy layer climate , 1988 .
[22] Yu Zhou,et al. Can Euro V heavy-duty diesel engines, diesel hybrid and alternative fuel technologies mitigate NOX emissions? New evidence from on-road tests of buses in China , 2014 .
[23] Jörg Franke,et al. The COST 732 Best Practice Guideline for CFD simulation of flows in the urban environment: a summary , 2011 .
[24] Fan Wang,et al. Using a CFD approach for the study of street-level winds in a built-up area , 2005 .
[25] Zhe-ming Tong,et al. A case study of air quality above an urban roof top vegetable farm. , 2016, Environmental pollution.
[26] Zheng-Tong Xie,et al. LES and RANS for Turbulent Flow over Arrays of Wall-Mounted Obstacles , 2006 .
[27] Vlad Isakov,et al. Roadside vegetation barrier designs to mitigate near-road air pollution impacts. , 2016, The Science of the total environment.
[28] Edward Arens,et al. The effects of surrounding buildings on wind pressure distributions and natural ventilation in long building rows , 1988 .
[29] M. Parlange,et al. Modeling flow around bluff bodies and predicting urban dispersion using large eddy simulation. , 2006, Environmental science & technology.
[30] Jean-Pierre Bertoglio,et al. Assessment of the vortex method for Large Eddy Simulation inlet conditions , 2006 .
[31] Bin Yan,et al. Predicting thermal and energy performance of mixed-mode ventilation using an integrated simulation approach , 2016 .
[32] A. Malkawi,et al. Energy saving potential of natural ventilation in China: The impact of ambient air pollution , 2016 .
[33] Er-Wei Bai,et al. Developing a whole building cooling energy forecasting model for on-line operation optimization using proactive system identification , 2016 .
[34] Ali Malkawi,et al. Quantifying the impact of traffic-related air pollution on the indoor air quality of a naturally ventilated building. , 2016, Environment international.
[35] Xiwang Li,et al. An operation optimization and decision framework for a building cluster with distributed energy systems , 2016 .
[36] Wan Ki Chow. Wind-induced indoor-air flow in a high-rise building adjacent to a vertical wall , 2004 .
[37] Riccardo Buccolieri,et al. Dispersion study in a street canyon with tree planting by means of wind tunnel and numerical investigations – Evaluation of CFD data with experimental data , 2008 .
[38] Qingyan Chen,et al. Ventilation performance prediction for buildings: A method overview and recent applications , 2009 .
[39] V. I. Hanby,et al. CFD modelling of natural displacement ventilation in an enclosure connected to an atrium , 2007 .
[40] Jong-Jin Baik,et al. A CFD Model for Simulating Urban Flow and Dispersion , 2003 .
[41] Andrew J Landers,et al. Quantifying the effect of vegetation on near-road air quality using brief campaigns. , 2015, Environmental pollution.
[42] Yong Chan Kim,et al. Thermal comfort and energy saving in a vehicle compartment using a localized air-conditioning system , 2014 .
[43] B. Launder,et al. The numerical computation of turbulent flows , 1990 .
[44] K. Pericleous,et al. Modelling air quality in street canyons : a review , 2003 .
[45] Leon R. Glicksman,et al. Application of integrating multi-zone model with CFD simulation to natural ventilation prediction , 2005 .
[46] P. A. Østergaard,et al. Energy saving potential of utilizing natural ventilation under warm conditions – A case study of Mexico , 2014 .
[47] Bje Bert Blocken,et al. Overview of pressure coefficient data in building energy simulation and airflow network programs , 2009 .
[48] Wenwei Ke,et al. Can propulsion and fuel diversity for the bus fleet achieve the win–win strategy of energy conservation and environmental protection? , 2015 .
[49] Yang Wang,et al. School building energy performance and classroom air environment implemented with the heat recovery heat pump and displacement ventilation system , 2014 .
[50] Pietro Picuno,et al. Analysis of the efficiency of greenhouse ventilation using computational fluid dynamics , 1997 .
[51] A. Y. Cheng,et al. Large-eddy simulation of pollution dispersion in an urban street canyon—Part I: comparison with field data , 2002 .
[52] R. Dear,et al. Thermal adaptation in the built environment: a literature review , 1998 .
[53] T. Stathopoulos,et al. CFD simulation of the atmospheric boundary layer: wall function problems , 2007 .
[54] Yujiao Chen,et al. Integrated design workflow and a new tool for urban rainwater management. , 2015, Journal of environmental management.
[55] Zheming Tong,et al. The near-source impacts of diesel backup generators in urban environments , 2015 .
[56] R. Kraichnan. Diffusion by a Random Velocity Field , 1970 .
[57] André De Herde,et al. Natural cooling strategies efficiency in an office building with a double-skin facade , 2004 .
[58] P. Moin,et al. A dynamic subgrid‐scale eddy viscosity model , 1990 .
[59] Yungang Wang,et al. Modeling multi-scale aerosol dynamics and micro-environmental air quality near a large highway intersection using the CTAG model. , 2013, The Science of the total environment.
[60] Jin Wen,et al. Review of building energy modeling for control and operation , 2014 .
[61] K. M. Zhang,et al. Modeling near-road air quality using a computational fluid dynamics model, CFD-VIT-RIT. , 2009, Environmental science & technology.
[62] P. Linden. THE FLUID MECHANICS OF NATURAL VENTILATION , 1999 .
[63] P. Bradshaw,et al. Momentum transfer in boundary layers , 1977 .
[64] Tokiyoshi Yamada,et al. Natural ventilation performance of a double-skin façade with a solar chimney , 2005 .
[65] T. G. Thomas,et al. Mean Flow and Turbulence Statistics Over Groups of Urban-like Cubical Obstacles , 2006 .
[66] Bert Blocken,et al. Energy saving potential of night ventilation: Sensitivity to pressure coefficients for different European climates , 2014 .
[67] Ye Wu,et al. Modeling real-world fuel consumption and carbon dioxide emissions with high resolution for light-duty passenger vehicles in a traffic populated city , 2016 .
[68] R. Britter,et al. FLOW AND DISPERSION IN URBAN AREAS , 2003 .
[69] Zheming Tong,et al. Modeling spatial variations of black carbon particles in an urban highway-building environment. , 2012, Environmental science & technology.
[70] Richard J. Perkins,et al. Plume dispersion through large groups of obstacles – a field investigation , 1995 .
[71] Mario Grosso,et al. Wind Pressure Distribution Around Buildings - a Parametrical Model , 1992 .
[72] Y. U-H E N G T S E N G,et al. Modeling Flow around Bluff Bodies and Predicting Urban Dispersion Using Large Eddy Simulation , 2006 .
[73] Theodore Stathopoulos,et al. Wind loads on low-rise buildings: a review of the state of the art , 1984 .
[74] Andreas K. Athienitis,et al. Airflow assessment in cross-ventilated buildings with operable façade elements , 2011 .
[75] Mohamed B. Gadi,et al. Using CFD to investigate ventilation characteristics of vaults as wind-inducing devices in buildings , 2008 .
[76] Godfried Augenbroe,et al. Analysis of uncertainty in building design evaluations and its implications , 2002 .
[77] Fue-Sang Lien,et al. A comparison of large Eddy simulations with a standard k–ε Reynolds-averaged Navier–Stokes model for the prediction of a fully developed turbulent flow over a matrix of cubes , 2003 .
[78] Bje Bert Blocken,et al. CFD simulation of cross-ventilation flow for different isolated building configurations: validation with wind tunnel measurements and analysis of physical and numerical diffusion effects , 2012 .