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 to sensor measurements. The method uses confusion matrices as a statistical clas...

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Bibliographic Details
Published in:Journal of building performance simulation Vol. 14; no. 6; pp. 770 - 792
Main Authors: de Vries, Samuel B., Loonen, Roel C. G. M., Hensen, Jan L. M.
Format: Journal Article
Language:English
Published: Abingdon Taylor & Francis 02.11.2021
Taylor & Francis Ltd
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ISSN:1940-1493, 1940-1507
Online Access:Get full text
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Summary: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.
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content type line 14
ISSN:1940-1493
1940-1507
DOI:10.1080/19401493.2021.1887355