Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Therapeutic lighting in the elderly living spaces via a daylight and artificial lighting integrated scheme
https://orcid.org/0000-0002-3667-1506
https://orcid.org/0000-0002-5431-9514
Abstract Many studies have proved the therapeutic effects of light, and efforts have been made toward installing therapeutic lighting in human habitats. This study proposes a novel approach to installing therapeutic lighting in elderly living spaces (ELSs) via daylight and artificial lighting integrated scheme (DALIS), aiming for therapeutic effects and visual comfort. Firstly, a set of artificial neural network (ANN) based prediction models for annual daylight distribution are developed, which are capable of real-time corneal illuminance (Ecor) prediction with high accuracy (R2 > 0.999) and stability (quartile of d-value < 40 lx). After that, a CyclicSelection Model is developed, which selects the hourly optimal artificial supplementary lighting (ASL) with a total of 3285 h per year from the designed ASL bank. Accordingly, the annual variation patterns of the ASL parameters are analyzed, and the annual dynamic model of the DALIS is revealed. In conclusion, the DALIS produces a light condition in which the Ecor ranging from 1000 to 2000 lx covers 100 % of the area of the test room for 47 % of the hours of a year; moreover, it covers 85 % of the area on average for 100 % of the hours; indicating that it can produce a therapeutically effective and visually comfortable light condition.
Therapeutic lighting in the elderly living spaces via a daylight and artificial lighting integrated scheme
https://orcid.org/0000-0002-3667-1506
https://orcid.org/0000-0002-5431-9514
Abstract Many studies have proved the therapeutic effects of light, and efforts have been made toward installing therapeutic lighting in human habitats. This study proposes a novel approach to installing therapeutic lighting in elderly living spaces (ELSs) via daylight and artificial lighting integrated scheme (DALIS), aiming for therapeutic effects and visual comfort. Firstly, a set of artificial neural network (ANN) based prediction models for annual daylight distribution are developed, which are capable of real-time corneal illuminance (Ecor) prediction with high accuracy (R2 > 0.999) and stability (quartile of d-value < 40 lx). After that, a CyclicSelection Model is developed, which selects the hourly optimal artificial supplementary lighting (ASL) with a total of 3285 h per year from the designed ASL bank. Accordingly, the annual variation patterns of the ASL parameters are analyzed, and the annual dynamic model of the DALIS is revealed. In conclusion, the DALIS produces a light condition in which the Ecor ranging from 1000 to 2000 lx covers 100 % of the area of the test room for 47 % of the hours of a year; moreover, it covers 85 % of the area on average for 100 % of the hours; indicating that it can produce a therapeutically effective and visually comfortable light condition.
Therapeutic lighting in the elderly living spaces via a daylight and artificial lighting integrated scheme
https://orcid.org/0000-0002-3667-1506
https://orcid.org/0000-0002-5431-9514
Abstract Many studies have proved the therapeutic effects of light, and efforts have been made toward installing therapeutic lighting in human habitats. This study proposes a novel approach to installing therapeutic lighting in elderly living spaces (ELSs) via daylight and artificial lighting integrated scheme (DALIS), aiming for therapeutic effects and visual comfort. Firstly, a set of artificial neural network (ANN) based prediction models for annual daylight distribution are developed, which are capable of real-time corneal illuminance (Ecor) prediction with high accuracy (R2 > 0.999) and stability (quartile of d-value < 40 lx). After that, a CyclicSelection Model is developed, which selects the hourly optimal artificial supplementary lighting (ASL) with a total of 3285 h per year from the designed ASL bank. Accordingly, the annual variation patterns of the ASL parameters are analyzed, and the annual dynamic model of the DALIS is revealed. In conclusion, the DALIS produces a light condition in which the Ecor ranging from 1000 to 2000 lx covers 100 % of the area of the test room for 47 % of the hours of a year; moreover, it covers 85 % of the area on average for 100 % of the hours; indicating that it can produce a therapeutically effective and visually comfortable light condition.
Therapeutic lighting in the elderly living spaces via a daylight and artificial lighting integrated scheme
Chen, Yaodong (Autor:in) / Guo, Yudong (Autor:in) / Liu, Qiuping (Autor:in) / Liu, Yang (Autor:in) / Lei, Yuanfang (Autor:in)
Energy and Buildings ; 285
09.02.2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
A<inf>u</inf> , useful area (represents the area of a room where the E<inf>cor</inf> falls within the UI) , ASL , artificial supplementary lighting , ANN , artificial neural network , ANFIS , adaptive neural fuzzy inference system , BPNN , back-propagation neural network , BP-GA , BPNN and GA integrated algorithm , <small-caps>d</small-caps>-value , the difference between the predicted and actual light levels (box-plots are used to discuss the <small-caps>d</small-caps>-value variation, as it’s advantageous in filtering the outliers data, whereas it displays the whiskers, quartiles, median and mean values) , DALIS , daylight and artificial lighting integrated scheme , DT , decision tree , E<inf>cor</inf> , corneal illuminance , ELS , elderly living space , GA , genetic algorithm , MLA , machine learning algorithm , UDI , useful daylight illuminance , UI , useful illuminance (E<inf>cor</inf> ranges from 1000 to 2000 lx, according to our previous work [1], E<inf>cor</inf> ranges in the UI is a necessary condition for a therapeutically effective and visually comfortable light in the elderly living space) , WWR , window-to-wall ratio , RF , random forest , SVM , support vector machine , Light environment , Therapeutic lighting , Daylight prediction , Machine learning
| Engineering Index Backfile | 1929
Lighting during daylight hours
Engineering Index Backfile | 1962
Lighting during daylight hours
Engineering Index Backfile | 1963