Site-specific prediction for energy simulation by integrating computational fluid dynamics
energy simulation (ES), computational fluid dynamics (CFD), Monte Carlo model, site specific condition, microclimate
Currently, energy simulations (ES) utilize various outdoor variables such as outside surface, ground surface, sky, and air temperature, using coefficients or simplified equations. These variablesuse empirical correlations that are sometimes insufficient in certain location. Variables such as air temperature at the base of the layer are informed from weather data that may not accurately represent the physical microclimate of the site, and may therefore reduce the accuracy of simulation results. This research investigates utilizing computational fluid dynamics (CFD) with Monte Carlo stochastic model to predict site specific temperature parameters for energy simulation. This will allow more realistic and robust energy simulation results for specific site conditions.
Tsinghua University Press
Yun Kyu Yi, Ali M. Malkawi. Site-specific prediction for energy simulation by integrating computational fluid dynamics. Build Simul, 2008, 1(3): 270–277.