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- W3133846406 abstract "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 to sensor measurements. The method uses confusion matrices as a statistical classification approach to facilitate (i) selection of sensor deployment strategies that offer beneficial trade-offs considering multiple performance aspects and (ii) identification of control algorithms that optimise comfort conditions using non-ideal sensors. The support method requires relatively little effort from a developer, only a small number of simulations and fits well within the current practice of shading control development. The method is tested using a sun-tracking control strategy for indoor roller blinds as a case study, which demonstrates that the method can identify high-performance solutions. Finally, generally applicable features of the method are extrapolated from the case study, and alternative applications and the method’s limitations are discussed." @default.
- W3133846406 created "2021-03-15" @default.
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- W3133846406 date "2021-02-24" @default.
- W3133846406 modified "2023-10-16" @default.
- W3133846406 title "Simulation-aided development of automated solar shading control strategies using performance mapping and statistical classification" @default.
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- W3133846406 doi "https://doi.org/10.1080/19401493.2021.1887355" @default.
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