Computational fluid dynamics (CFD) technique is well-known for its powerful capability of modelling the cross-ventilation. CFD is broadly coupled with energy simulation programmes, such as EnergyPlus, to expand its application in building energy calculation. During the coupling process, iterative calculation is required to improve the accuracy of the coupling method, which means the scale of the model should be designed with extra care so that the simulation can be practical in terms of computational cost. A coarse-resolution mesh (here denoted as CFDc) cannot properly represent the required local environment to study the underlying physics. However, a fine-resolution CFD microclimate model (here denoted as CFDf), which includes both indoor and outdoor spaces, always requires a large number of cells to capture the complexities of environment; this makes the coupling procedure a challenging problem. This study aims to propose an innovative, high-resolution and computationally cost-effective CFDf-CFDc model to overcome this gap. The full-scale CFDf works in an off-line manner at the preliminary simulation stage and generates detailed flow parameters at the interfaces for CFDc. At the dynamic stage of the simulation, CFDc participates in the coupling procedure with the other tools, for example, building energy simulation (BES) tool (e.g. EnergyPlus). The coupling of CFDf-CFDc-BES is about 200 times faster than an ordinary coupled CFDf-BES method with a significantly quicker and more stable achievement in the convergence.
AllegriniJDorerVCarmelietJ (2015) Coupled CFD, radiation and building energy model for studying heat fluxes in an urban environment with generic building configurations. Sustainable Cities and Society19: 385–394.
2.
Architectural Institute of Japan (2007) Guidebook for Practical Applications of CFD to Pedestrian Wind Environment around Buildings. Tokyo: Architectural Institute of Japan.
3.
BarbasonMReiterS (2014) Coupling building energy simulation and computational fluid dynamics: application to a two-storey house in a temperate climate. Building and Environment75: 30–39.
4.
Beausoleil-MorrisonI (2002) The adaptive conflation of computational fluid dynamics with whole-building thermal simulation. Energy and Buildings34: 857–871.
5.
BisharaNGasparellaA (2017) CFD modelling of forced convection at a building component surface and coupling to dynamic HAM simulation – assessment and evaluation of methods and accuracy. Energy Procedia132: 855–860.
6.
BlockenBRoelsSCarmelietJ (2007) A combined CFD–HAM approach for wind-driven rain on building facades. Journal of Wind Engineering and Industrial Aerodynamics95: 585–607.
7.
Carrilho da GraçaGChenQGlicksmanLR, et al. (2002) Simulation of wind-driven ventilative cooling systems for an apartment building in Beijing and Shanghai. Energy and Buildings34: 1–11.
8.
ChangJCHannaSR (2004) Air quality model performance evaluation. Meteorology and Atmospheric Physics87: 167–196.
9.
DjunaedyEHensenJLLoomansM (2003) Toward external coupling of building energy and airflow modeling programs. ASHRAE Transactions109: 771–787.
10.
European Parliament and Council (2010) Directive 2010/31/EU of the European Parliament and of the Council of 19 May 2010 on the energy performance of buildings (recast). Official Journal of the European Union3: 124–146.
11.
FanYHayashiTItoK (2012) Coupled simulation of BES-CFD and performance assessment of energy recovery ventilation system for office model. Journal of Central South University19: 633–638.
12.
Gijón-RiveraMXamánJÁlvarezG, et al. (2013) Coupling CFD-BES simulation of a glazed office with different types of windows in Mexico City. Building and Environment68: 22–34.
13.
IyengarK (2015) Sustainable Architectural Design: An Overview. New York: Taylor & Francis.
14.
JiLTanHKatoS, et al. (2011) Wind tunnel investigation on influence of fluctuating wind direction on cross natural ventilation. Building and Environment46: 2490–2499.
15.
KaravaPStathopoulosTAthienitisAK (2011) Airflow assessment in cross-ventilated buildings with operable façade elements. Building and Environment46: 266–279.
16.
KatoS (2004) Flow network model based on power balance as applied to cross-ventilation. International Journal of Ventilation2: 395–408.
17.
KimHHawJKimT, et al. (2013) Application of coupled simulation between BES-CFD for naturally ventilated residential buildings. In: Proceedings of BS 2013 13th Conference of the International Building Performance Simulation Association, Chambéry, 26–28 August.
18.
KingM-FGoughHLHaliosC, et al. (2017) Investigating the influence of neighbouring structures on natural ventilation potential of a full-scale cubical building using time-dependent CFD. Journal of Wind Engineering and Industrial Aerodynamics169: 265–279.
19.
KubilayADeromeDBlockenB, et al. (2014) Numerical simulations of wind-driven rain on an array of low-rise cubic buildings and validation by field measurements. Building and Environment81: 283–295.
20.
LoLJNovoselacA (2012) Cross ventilation with small openings: measurements in a multi-zone test building. Building and Environment57: 377–386.
21.
MicallefDBuhagiarVBorgSP (2016) Cross-ventilation of a room in a courtyard building. Energy and Buildings133: 658–669.
22.
MirzaeiPACarmelietJ (2013) Dynamical computational fluid dynamics modeling of the stochastic wind for application of urban studies. Building and Environment70: 161–170.
23.
MochidaAYoshinoHMiyauchiS, et al. (2006) Total analysis of cooling effects of cross-ventilation affected by microclimate around a building. Solar Energy80: 371–382.
24.
National Statistics (2016) Energy Consumption in the UK. London: Department for Business EIS.
25.
NegrãoCOR (1998) Integration of computational fluid dynamics with building thermal and mass flow simulation. Energy and Buildings27: 155–165.
26.
NikkhoSKHeidarinejadMLiuJ, et al. (2017) Quantifying the impact of urban wind sheltering on the building energy consumption. Applied Thermal Engineering116: 850–865.
27.
PardyjakERBrownMJ (2001) Evaluation of a Fast-Response Urban Wind Model – Comparison to Single-Building Wind Tunnel Data. Alamos, NM: Los Alamos National Lab.
28.
PerenJIvan HooffTRamponiR, et al. (2015) Impact of roof geometry of an isolated leeward sawtooth roof building on cross-ventilation: straight, concave, hybrid or convex?Journal of Wind Engineering and Industrial Aerodynamics145: 102–114.
29.
RamponiRBlockenBde CooLB, et al. (2015) CFD simulation of outdoor ventilation of generic urban configurations with different urban densities and equal and unequal street widths. Building and Environment92: 152–166.
30.
SaneinejadSMoonenPCarmelietJ (2014) Coupled CFD, radiation and porous media model for evaluating the micro-climate in an urban environment. Journal of Wind Engineering and Industrial Aerodynamics128: 1–11.
31.
SarkarABardhanR (2020) Optimal interior design for naturally ventilated low-income housing: a design-route for environmental quality and cooling energy saving. Advances in Building Energy Research14: 494–526.
32.
ShahrestaniMYaoRLuoZ, et al. (2015) A field study of urban microclimates in London. Renewable Energy73: 3–9.
33.
ShirzadiMMirzaeiPANaghashzadeganM (2018a) Development of an adaptive discharge coefficient to improve the accuracy of cross-ventilation airflow calculation in building energy simulation tools. Building and Environment127: 277–290.
34.
ShirzadiMMirzaeiPANaghashzadeganM, et al. (2018b) Modelling enhancement of cross-ventilation in sheltered buildings using stochastic optimization. International Journal of Heat and Mass Transfer118: 758–772.
35.
ShirzadiMNaghashzadeganMMirzaeiPA (2018c) Improving the CFD modelling of cross-ventilation in highly-packed urban areas. Sustainable Cities and Society37: 451–465.
36.
ShirzadiMTominagaYMirzaeiPA (2019) Wind tunnel experiments on cross-ventilation flow of a generic sheltered building in urban areas. Building and Environment158: 60–72.
37.
TanGGlicksmanLR (2005) Application of integrating multi-zone model with CFD simulation to natural ventilation prediction. Energy and Buildings37: 1049–1057.
38.
TominagaYBlockenB (2015) Wind tunnel experiments on cross-ventilation flow of a generic building with contaminant dispersion in unsheltered and sheltered conditions. Building and Environment92: 452–461.
39.
TominagaYMochidaAYoshieR, et al. (2008) AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings. Journal of Wind Engineering and Industrial Aerodynamics96: 1749–1761.
40.
TongZChenYMalkawiA (2016) Defining the Influence Region in neighborhood-scale CFD simulations for natural ventilation design. Applied Energy182: 625–633.
41.
van HooffTBlockenBTominagaY (2017) On the accuracy of CFD simulations of cross-ventilation flows for a generic isolated building: comparison of RANS, LES and experiments. Building and Environment114: 148–165.
42.
VardoulakisSFisherBEAPericleousK, et al. (2003) Modelling air quality in street canyons: a review. Atmospheric Environment37: 155–182.
43.
VollaroADLGalliGVallatiA (2015) CFD analysis of convective heat transfer coefficient on external surfaces of buildings. Sustainability7: 9088–9099.
44.
WangLWongNH (2009) Coupled simulations for naturally ventilated rooms between building simulation (BS) and computational fluid dynamics (CFD) for better prediction of indoor thermal environment. Building and Environment44: 95–112.
45.
YamamotoTOzakiALeeM, et al. (2018) Fundamental study of coupling methods between energy simulation and CFD. Energy and Buildings159: 587–599.
46.
ZhaiZChenQY (2003) Solution characters of iterative coupling between energy simulation and CFD programs. Energy and Buildings35: 493–505.
47.
ZhaiZChenQKlemsJH, et al. (2001) Strategies for coupling energy simulation and computational fluid dynamics programs. In: Seventh international IBPSA Conference, Rio de Jainero, 49–56.
48.
ZhaiZJChenQY (2005) Performance of coupled building energy and CFD simulations. Energy and Buildings37: 333–344.
49.
ZhangRLamKPYaoS-C, et al. (2013) Coupled EnergyPlus and computational fluid dynamics simulation for natural ventilation. Building and Environment68: 100–113.
50.
ZhangRMirzaeiPAJonesB (2018) Development of a dynamic external CFD and BES coupling framework for application of urban neighbourhoods energy modelling. Building and Environment146: 37–49.
51.
ZhengMHGuoYRAiXQ, et al. (2010) Coupling GIS with CFD modeling to simulate urban pollutant dispersion. In: 2010 International Conference on Mechanic Automation and Control Engineering, Wuhan, 1785–1788.
