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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| Vydáno v: | Journal of building performance simulation Ročník 14; číslo 6; s. 770 - 792 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Abingdon
Taylor & Francis
02.11.2021
Taylor & Francis Ltd |
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| ISSN: | 1940-1493, 1940-1507 |
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| 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. |
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| AbstractList | 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. |
| Author | Hensen, Jan L. M. de Vries, Samuel B. Loonen, Roel C. G. M. |
| Author_xml | – sequence: 1 givenname: Samuel B. orcidid: 0000-0001-7906-299X surname: de Vries fullname: de Vries, Samuel B. email: s.b.d.vries@tue.nl organization: Eindhoven University of Technology – sequence: 2 givenname: Roel C. G. M. orcidid: 0000-0001-6101-1449 surname: Loonen fullname: Loonen, Roel C. G. M. organization: Eindhoven University of Technology – sequence: 3 givenname: Jan L. M. orcidid: 0000-0002-7528-4234 surname: Hensen fullname: Hensen, Jan L. M. organization: Eindhoven University of Technology |
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| SubjectTerms | Algorithms Automated solar shading Case studies Classification Comfort confusion matrix Control algorithms control strategies Mapping Shading Simulation statistical classification Tracking control |
| Title | Simulation-aided development of automated solar shading control strategies using performance mapping and statistical classification |
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