The Effect of Utilizing Distributed Intelligent Lighting System for Energy Consumption in the Office
Open accessAbstract
We have been examining how an intelligent lighting system affects energy consumption in the office. In this paper, we evaluate the traditional intelligent lighting system at the office and how to improve the best use of the intelligent lighting system by each user. The user in the large office is not able to change the level of luminance. Moreover, the traditional lighting system is not able to specify which desk is occupied or not occupied by each worker. The proper use of lighting control affects the power consumption, and the worker sometimes forgets to change the occupancy status after leaving the office, which affects the energy. This paper argues to find the best model of the intelligent lighting system to save energy by using the technology of sensing devices for detecting the occupancy of the desk. As a result, we found that each worker has the individual lighting system, and the energy of the office is reduced by improving the intelligent lighting system.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Office lighting can affect work productivity apart from energy consumption.
“Hajjaj et al. [75] explains that apart from energy consumption, office lighting can also affect work productivity.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as Hajjaj et al. [75]
Cited by
Sorted by citations
Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey
Putrada, A. G., Abdurohman, M., Perdana, D., & Nuha, H. H. (2022) · IEEE Access · doi:10.1109/access.2022.3169765 · Cited by 101 · see citing works
“Hajjaj et al. [75] explains that apart from energy consumption, office lighting can also affect work productivity.”
Background
- Authors
- Hajjaj, M., Miki, M., & Shimohara, K.
- Affiliations
- Doshisha University (JP)
- Corresponding author
- Hajjaj, Mohammed
- Venue
- Applied Sciences
- Publisher
- MDPI AG
- Published
- 2020-03-15
- Volume
- 10
- Issue
- 6
- Pages
- 2004
- ISSN
- 2076-3417 (ISSN-L)
- OpenAlex
- W3012548329
- Cited by
- 8
- References
- 0
- Citations by year
- 2024: 3 · 2023: 1 · 2022: 2 · 2020: 2
- FWCI
- 0.66
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Applied Sciences (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Social Sciences › Psychology › Social Psychology › Facilities and Workplace Management
- Physical Sciences › Engineering › Building and Construction › Building energy efficiency and sustainability
- Keywords
- intelligent lighting system, office lighting, energy consumption, occupancy detection, sensors, luminance control, lighting control, energy conservation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
