Simulation-aided development of automated solar shading control strategies using performance mapping and statistical classification

This paper presents a structured, generically applicable, method for using building performance simulation to aid the development of comfort-driven solar shading controls by mapping predicted occupant comfort conditions sensor measurements. The uses confusion matrices as statistical classification approach facilitate (i) selection deployment strategies that offer beneficial trade-offs considering multiple aspects and (ii) identification control algorithms optimise non-ideal sensors. support requires relatively little effort from developer, only small number simulations fits well within current practice development. is tested sun-tracking strategy indoor roller blinds case study, which demonstrates can identify high-performance solutions. Finally, generally applicable features are extrapolated alternative applications method’s limitations discussed.