Data-driven model for controlling smart electrochromic glazing:Living Lab Smart Office Space

An electrochromic window (EC) is adjustable for the amount of solar radiation transmitted into the room. By switching the tinting state, an automatically-operated EC system can play an important role in reducing building energy consumption. However, due to the complexity of the shading systems integrated with lighting and HVAC systems, only a multi-objective control strategy can investigate the potential of this types of systems to provide visual and thermal comfort as well as energy saving benefits.New developed sensor technologies and Internet of Things (IoT) in Living Lab Smart Office Space at TU Kaiserslautern in Germany, made it possible to enquire the data and process the human subjects behavior and responses to the thermal sensation and comfort, appropriate daylighting, and glare discomfort. Evaluating building performance needs some indices, criteria, and conditions which have been derived as evidence .Moreover, this paper applies a simulation based framework to explore data for different states of a window with EC. Based on the derived evidence and indices for performance the most appropriate shading state at every time step through a year can be found. Using advanced methods of simulations in Radiance and TRNSYS, resultant data of every possible combination (64 cases in this study) a ranking algorithm can search and compare the performance for visual comfort, thermal comfort, and energy demand. The outcome is a set of window states with the best performance (minimum penalty); and can be used to control the dynamic facade effectively.

کلیدواژه ها:

Data-driven control ، Dynamic facade ، Post occupancy evaluation ، Electrochromic glazing (EC)