TABLE OF CONTENTS - The Professional Green Building Council

Theme B: Creating a livable, healthy and environmentally viable citiesthe simulation tool. The CFD approach has the advantage of precisely modelingthe airflow dynamics in the cavity. However, the mathematical modeling requiresnumerous assumptions as well as detailed information. Furthermore, extensivemodeling efforts and computing time become hindrance for optimal control ofdouble skin systems in real time.The objective of this study is to develop a simple model that can be applied forreal-time optimal control of double-skin systems. The model must be lightweightand accurate enough for predicting the system’s response in real-time calculation.(simulation time in order of seconds). Hence, the paper addresses a state spacemodeling approach to simulate the system. In order to develop a lumped modelcapable of predicting the system’s response in real time, a double-skin system waslumped to 2D, and then unknown parameters were estimated using parameterestimation technique. Then, the model was validated with measured states. In thepaper, the lumped mathematical model developed for this study was comparedwith another double-skin mathematical model having a different configuration [1]to explain how a mathematical model should be calibrated according to the systemconfiguration (cavity width, cavity depth, louver color, glazing type, systemdimension, etc.)2. EXPERIMENTAL SETUPAn experimental test facility was constructed as shown in Fig 1. Four ventilationdampers were installed at the top and bottom of the double-skin system. The insidewindow is double pane (6mm glazing + 12mm cavity + 6mm glazing) and theexterior window is single pane (6mm clear glazing). The test unit is designed sothat multiple configurations can be made, e.g., inside window (low-e, clear), cavitydepth (250mm, 400mm), louver color (black, white, ivory).Wind speed, wind direction, direct and diffuse solar radiation, temperature andhumidity of different locations were measured using a HOBO weather station and498