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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Vydané v:Journal of building performance simulation Ročník 14; číslo 6; s. 770 - 792
Hlavní autori: de Vries, Samuel B., Loonen, Roel C. G. M., Hensen, Jan L. M.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Abingdon Taylor & Francis 02.11.2021
Taylor & Francis Ltd
Predmet:
Algorithms
Automated solar shading
Case studies
Classification
Comfort
confusion matrix
Control algorithms
control strategies
Mapping
Shading
Simulation
statistical classification
Tracking control
ISSN:1940-1493, 1940-1507
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Shrnutí: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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1940-1493
1940-1507
DOI:10.1080/19401493.2021.1887355