Modern buildings have a growing tendency to have large window fronts, with this design aspect leading to extensive solar heat gain and lighting in the rooms. Well-known thermal space models for control applications use simplifications of the spatial distribution of radiation and temperature. In this paper, a new modeling approach for efficient control of shading systems in rooms with large glass facades is presented and thermal comfort at multiple distributed positions in the room is more accurately captured. The idea of an interconnected system with submodels with lumped parameters and submodels with distributed parameters is introduced which can subsequently be used for model predictive control. With model-based shading control and the distributed thermal model presented, individual comfort control is possible at multiple positions in a room. The model is physically motivated, based on the material parameters and no calibration method is currently used, but realistic initial conditions are set for the simulations. Temperature variations due to incident solar radiation are included in the system part with distributed parameters and allow local thermal comfort measures. The resulting model is designed to be used in the context of model based shading control considering thermal comfort at multiple distributed locations. The introduced model is validated with simulations for temperature accuracy, distributed thermal comfort, and control characteristics. The main results are the interconnected model with additional benefits for distributed thermal comfort. Moreover, the presented modelling approach is designed for control applications, especially for model predictive control.
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