Sustainability
2021, 13, 6198
6 of 17
Table 2.
The terminology of the lighting systems of the 13 included studies.
Synonyms for ‘Smart Lighting System’
References
Smart lighting
Cimini et al. [
43
], Dikel et al. [
44
], Kumar et al.
[
45
], Ringel et al. [
46
]
Intelligent lighting
Byun, Hong, Lee and Park [
40
], Izsó, Láng,
Laufer, Suplicz and Horváth [
41
], Wang [
42
],
Tang et al. [
47
]
Automated lighting
Ahmadi-Karvigh et al. [
48
]
Innovative lighting
Frascarolo et al. [
49
]
Multi-objective lighting
Kwon and Lim [
38
]
Biodynamic lighting
Plischke et al. [
50
]
LED Context lighting
Kwon, Im and Lim [
39
]
3.3. Intended Study Aim
The majority of the included studies (eight papers) aimed to design and develop a
smart lighting system to reduce energy consumption and/or provide visual comfort for
the occupants, for example, by the provision of empirical data as an input for an intelligent
lighting system [
41
]. Other studies aimed to test and compare specific components of a
smart lighting system [
44
], such as the standby energy consumption of smart LEDs, or the
evaluation of the application area for smart lighting systems [
45
,
46
], for example, existing
lighting recommendations for elderly/nursing homes [
50
]. Implementation and testing of
a smart lighting system (in real-time) was the aim of only one study [
48
]. To enable a more
equal comparison, studies were categorised, according to their intended aim, as ‘component
performance’, ‘system design/development’, or ‘application evaluation/implementation’
(see Table
3
). Additionally, the table shows that 10 studies aimed to investigate the impact
on energy, eight studies on well-being and six targeted the implementation of both energy
and well-being. An overview table with the intended aim, as described by the authors of
the included studies, as well as a simple content analysis to support the categorisation is
provided in Appendix
A
.
