Abstract
Different site conditions create a site specific microclimate which has great influence on building energy consumption. However, current energy simulation lacks a response to microclimate and buildings are treated with outdoor conditions based on weather data from nearest metrological site. This paper describes the coupling methodology between building energy simulation (BES) and computational fluid dynamics (CFD) simulation in order to analyze the impact of microclimate to building performance. A BES and a CFD exchange parameters in a dynamic time step base manner. The external surface of the building is the interface through which parameters are exchanged between BES and CFD. BES provides surface temperatures as the boundary conditions for CFD, while CFD calculates the heat transfer coefficients as the input to BES in each time step through a controller. This paper reviews the recent development in integration between BES and CFD methodologies. After an overview of coupling, the paper develops an approach of outdoor integration between BES and CFD. The proposed integration method is tested for case building and the result will be discussed.
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References
Beausolleil-Morrison I (2000). The adaptive coupling of heat and air flow modeling within dynamic wholebuilding simulation. PhD Thesis, University of Strathclyde, UK.
Beausoleil-Morrison I (2002). The adaptive conflation of computational fluid dynamics with whole-building thermal simulation. Energy and Buildings, 34: 857–871.
Bozonnet E, Belarbi R, Allard F (2007). Thermal behavior of buildings: Modeling the impact of urban heat island. Journal of Harbin Institute of Technology, 14: 19–22.
Brooks C, Edward A. Lee EA, Liu X, Neuendorffer S, Zhao Y, Zheng H (2007). Ptolemy II—Heterogeneous concurrent modeling and design in Java. Technical report No. UCB/EECS-2007-7, Berkeley, CA: University of California at Berkeley.
Brun A, Spitz C, Wurtz E, Mora L (2009). Behavioral comparison of some predictive tools used in a low-energy buildings. In: Proceedings of the 11th International IBPSA Conference, Glasgow, Scotland.
Building Controls Virtual Test Bed (BCVTB) Manual (2002). Available at http://simulationresearch.lbl.gov/bcvtb/releases/latest/doc/manual/index.xhtml.
Clarke JA (2001). Energy Simulation in Building Design, 2nd edn. Oxford, UK: Butterworth-Heinemann.
Djunaedy E (2005). External coupling between building energy simulation and computational fluid dynamics. PhD Thesis, Eindhoven University of Technology, the Netherland.
Djunaedy E, Hensen JLM, Loomans MGLC (2005). External coupling between CFD and energy simulation: Implementation and validation. ASHRAE Transactions, 111(1): 616–624.
DOE (United States Department of Energy) (2007). Engineering Reference: The Reference to EnergyPlus Calculations.
Fluent (2005). FLUENT 6.2 User’s Guide. Lebanon, NH, USA: Fluent Inc.
Hensen JLM (1999). A comparison of coupled and decoupled solutions for temperature and air flow in a building. ASHRAE Transactions, 105(2): 962–969.
Launder BE, Spalding DB (1972). Lectures in Mathematical Models of Turbulence. London: Academic Press.
Li X, Yu Z, Zhao B, Li Y (2005). Numerical analysis of outdoor thermal environment around buildings. Building and Environment, 40: 853–866
Negrao COR (1995). Conflation of computational fluid dynamics and building thermal simulation. PhD Thesis, University of Strathclyde, UK.
Srebric J, Chen Q, Glicksman LR (2000). A coupled airflow and energy simulation program for indoor thermal environmental studies. ASHRAE Transactions, 106(1): 465–476.
Wetter M (2011). Co-simulation of building energy and control systems with the Building Controls Virtual Test Bed. Journal of Building Performance Simulation, 4: 185–203.
Yi YK, Malkawi AM (2011). Integrating neural network models with computational fluid dynamics (CFD) for site-specific wind condition. Building Simulation, 4: 245–254.
Yi YK, Malkawi AM (2012). Site-specific optimal energy form generation based on hierarchical geometry relation. Automation in Construction, 26: 77–91.
Zhai Z, Chen Q, Haves P, Klems JH (2002). On approaches to couple energy simulation and computational fluid dynamics programs. Building and Environment, 37: 857–864.
Zhai Z, Chen Q (2003). Solution characters of iterative coupling between energy simulation and CFD programs. Energy and Buildings, 35: 493–505.
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Yi, Y.K., Feng, N. Dynamic integration between building energy simulation (BES) and computational fluid dynamics (CFD) simulation for building exterior surface. Build. Simul. 6, 297–308 (2013). https://doi.org/10.1007/s12273-013-0116-9
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DOI: https://doi.org/10.1007/s12273-013-0116-9