Double skins are an effective technique for achieving ZEB. In this research, we will use meta-simulation and AI to construct a general-purpose blind control that can minimize the energy consumption of lighting and air conditioning when daylight is used. First, we built a simple double-skin meta-simulation model to clarify the thermal performance and energy consumption performance when various kinds of blind controls are performed. Next, we performed machine learning and element analysis using AI with the simulated result. Then, we clarified the most effective parameters on thermal performance and energy consumption performance.
