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Effect of adaptive control on the LED street luminaire lifetime and on the lifecycle costs of a lighting installation
Open accessAbstract
We report for the first time the effect of ageing due to adaptive control of lighting on the lifecycle costs of luminaire installations. Two types of LED street luminaire were aged (1) as the luminaire lit for 9 hours and then switched off for 3 hours and (2) under intensive ageing using adaptive control conditions mimicking presence of vehicles, where the luminaires were switched with 30-second interval between 100% and 20% power within the cycle of (1). The test continued for 32,000 hours. Luminaire lifetime was found to decrease by 10% due to the intensive adaptive control, which exaggerates the ageing as compared to real traffic conditions. We estimate that a realistic rate of dimming cycles would decrease the luminaire lifetime by 0–2%, increasing the lifecycle costs of a lighting installation by 0–0.7%. With a traffic-aware control system, capable of 50% energy saving in lighting, the lifecycle costs are estimated to reduce by 25% as compared to a similar LED luminaire installation without traffic-aware control, outweighing the costs due to the reduced lifetime. The smart controlling of lighting is considered as a useful way to meet future energy saving targets.
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In Germany, the savings obtained by replacing lamps with LED lamps is 400 million euros.
“In Germany, the savings obtained by replacing lamps with LED lamps is 400 million euros.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as Askola et al. [88]
There is massive potential for savings when replacing conventional exterior lights with LED lights.
“There is a massive potential for savings when replacing conventional exterior lights with LED lights.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as Askola et al. [88]
LED lighting has become an essential driver in the industry in recent years.
“Askola et al. [88] revealed that LED lighting had become an essential driver in the industry in recent years.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as Askola et al. [88]
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Cited by
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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
“[88] revealed that LED lighting had become an essential driver in the industry in recent years.”
Background
Metadata
- Authors
- Askola, J., Kärhä, P., Baumgartner, H., Porrasmaa, S., & Ikonen, E.
- Affiliations
- Aalto University (FI)
- National metrology institute VTT MIKES (FI)
- Corresponding author
- Askola, J
- Venue
- Lighting Research & Technology
- Publisher
- SAGE Publications
- Published
- 2021-05-03
- Volume
- 54
- Issue
- 1
- Pages
- 75-89
- ISSN
- 0024-3426 (ISSN-L)
- 1477-1535
- 1477-0938
- OpenAlex
- W3160040087
- Cited by
- 12
- References
- 0
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 2 · 2023: 3 · 2022: 1
- FWCI
- 2.52
- Type
- journal article
- Language
- en
- Update notices
- correction (2021-06-09)
- Open access
- hybrid
- doi.org
- Locations
- Lighting Research & Technology (publishedVersion, cc-by)
- Aaltodoc (Aalto University) (submittedVersion, cc-by)
- Topics
- Physical Sciences › Engineering › Building and Construction › Life Cycle Costing Analysis
- Physical Sciences › Physics and Astronomy › Condensed Matter Physics › GaN-based semiconductor devices and materials
- Physical Sciences › Environmental Science › Global and Planetary Change › Impact of Light on Environment and Health
- Keywords
- adaptive lighting control, life cycle cost, lighting energy savings, accelerated aging, smart street lighting
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