The Effect of Lighting and Curtain Automation on Energy Performance

Orhun Celil Özen; Onur Akar; Nazmi Ekren

doi:10.53525/jster.1613256

TR EN

Aydınlatma ve Perde Otomasyonunun Enerji Performansına Etkisi

Öz

Bu çalışmada aydınlatma sistemlerinin enerji verimliliğini artırmak ve verimsiz kullanımı önlemek amacıyla bir otomasyon sistemi geliştirilmiştir. Çalışma ve yaşam alanlarında aşırı veya yetersiz aydınlatma sorununu çözmek için tasarlanan sistem, perde panjur ve parlaklık ayarlı lambalar kullanarak sensörler aracılığıyla ışık yoğunluğunu algılayıp otomatik olarak kontrol etmektedir. Bu sayede ortam optimum çalışma ve parlaklık seviyesinde tutularak enerji israfı önlenmektedir. Çalışma senaryosu kapsamında otomasyonlu ve otomasyonsuz iki farklı odada benzer koşullar altında ışık yoğunluğu ve tüketilen enerji miktarı ölçülmüştür. Otomasyonlu odada ışık yoğunluğu deklanşör hareketleri ve parlaklık ayarlı lamba ile otomatik olarak ayarlanırken otomasyonsuz odada ışık manuel olarak kontrol edilmiştir. Elde edilen verilerin karşılaştırılması durumunda otomasyonlu odada daha kararlı bir ışık yoğunluğu elde edildiği ve enerji tasarrufu sağlandığı görülmüştür. Yapılan analiz sonucunda manuel kontrollü sistemin ortalama 10,98 W güç tükettiği, otomasyon sisteminin ise ortalama 10,09 W güç tükettiği belirlenmiştir. Bulgular otomasyon sisteminin manuel sisteme kıyasla 0,9 W daha az enerji tükettiğini gösteriyor. Toplam 6 gün boyunca sistem 20m2'lik bir odada sadece aydınlatmada 130W tasarruf sağladı. Bu, otomasyon sistemlerinin enerji tasarrufu sağlayarak daha verimli bir alternatif sağladığını gösteriyor.

Anahtar Kelimeler

Aydınlatma Otomasyonu , KNX , Enerji Verimliliği , Sensör Tabanlı Kontrol , Akıllı Ev Sistemi

The Effect of Lighting and Curtain Automation on Energy Performance

Abstract

In this study, an automation system was developed to enhance the energy efficiency of lighting systems and prevent inefficient usage. The system, which is designed to solve the problem of excessive or insufficient lighting in working and living areas, detects and automatically controls the light intensity through sensors using curtain blinds and brightness adjustable lamps. In this way, the environment is kept at the optimal working and brightness level and energy waste is prevented. Within the scope of the working scenario, the light intensity and the amount of energy consumed were measured under similar conditions in two different rooms with and without automation. In the automated room, the light intensity was automatically adjusted by shutter movements and brightness adjustable lamp, while in the non-automated room, the light was controlled manually. In the case of comparison of the data obtained, it was observed that a more stable light intensity was obtained in the automated room and energy saving was achieved. As a result analysis, it was determined that the manually controlled system consumed an average of 10.98 W power, while the automation system consumed an average of 10.09 W power. The findings show that the automation system consumed 0.9 W less energy compared to the manual system. For a total of 6 days, the system saved 130W in lighting alone in a 20m2 room. This shows that automation systems provide a more efficient alternative by saving energy.

Keywords

Lighting Automation , KNX , Energy Efficiency , Sensor-based control , Smart Home System

References

[1] Global ABC, "2013 Global Status Report For Buildings And Construction",2018.12.01, pp.1-48, Accessed (14.3.2024), Available: https://globalabc.org/sites/default/files/2020-09/2017%20GlobalABC%20GSR%20.pdf. [2] Dilaura D. , Houser K. , Mistrick R. ,Steffy G. “The IES Lighting Handbook, 10th Edition”, 2011,Zumtobel, ISBN 978-3-902940-22-3.
[3] European Commision, Energy Performance of Buildings Directive, 2010 Accessed:(14.3.2024). Available: https://energy.ec.europa.eu/topics/energy-efficiency/energy-efficient-buildings/energy-performance-buildings-directive_en
[4] Zissis G., Karlicek, R., Sun, CC., Zissis, G., Ma, R. “Energy Consumption and Environmental and Economic Impact of Lighting: The Current Situation.” Handbook of Advanced Lighting Technology. Springer, Cham., 2016. https://doi.org/10.1007/978-3-319-00295-8_40-1
[5] Green Buildings and Energy Star [Online]. Accessed (14.3.2024). Available: https://www.energystar.gov/buildings/about-us/green-buildings-and-energy-star
[6] U.S. Energy İnformation Administration, issues in International Energy Consumption Analysis: Electricity Usage in India’s Housing Sector”, 2014, Accessed (14.3.2024), Available: https://www.eia.gov/analysis/studies/international/consumption/pdf/issues_itl_energyconsumptionanalysis.pdf.
[7] Candra o., Ulfah h. Et all,” Daylight And Artificial Lighting Integration In Achieving Lighting Uniformity In Educational Building”,2023, https://doi.org/10.20885/jars.vol7.iss1.art5
[8] Dehghani-Sanij, A. “Providing Thermal Comfort for Buildings Inhabitants Through Natural Cooling and Ventilation Systems: Wind Towers. In: Sayigh, A. (eds) Achieving Building Comfort by Natural Means. Innovative Renewable Energy”. Springer, Cham. 2022, https://doi.org/10.1007/978-3-031-04714-5_17
[9] Kakoulli, Christina, Alexis K., and Michalis P. M. "A Review of Field Measurement Studies on Thermal Comfort, Indoor Air Quality and Virus Risk" Atmosphere 13, no. 2: 191. https://doi.org/10.3390/atmos13020191
[10] Grand View Research, “Smart Home Automation Market Size, Share & Trends Analysis Report By Component (Hardware, Software, Service), By Technology, By Application, By Fitment, By Region, And Segment Forecasts, 2023 - 2030”,2022
[11] Daurat A, Aguirre A, Foret J, Gonnet P, Keromes A, Benoit O. “Bright light affects alertness and performance rhythms during a 24-h constant routine. Physiol Behav. 1993 May;53(5):929-36. doi: 10.1016/0031-9384(93)90271-g.

[12] Zumtobel,”The Lighting Handbook” ,6th edition, April 2018, ISBN 978-3-902940-72-8
[13] Belcher, M.C. and Kluczny, R.M., , “The effects of light on decision making: Some experimental results.Proceedings of the CIE 21st Session”, volume I. Venice and Vienna: International Commission onIllumination, pp. 354–357” 1987.
[14] Rasouli Kahaki, Z., Jahangiri, H., Smith, A. P., & Kazemi, R. Subjective and objective survey of office lighting: effects on alertness, comfort, satisfaction, and safety. La Medicina del lavoro, (2022) 113(3), e2022024. https://doi.org/10.23749/mdl.v113i3.12371
[15] Hunt, D. R. G. "The use of artificial lighting in relation to daylight levels and occupancy." Building and environment 14, no. 1 (1979):21- 33.
[16] Yaser J., Gökhan, K.. “Examining the Efficiency of Automation in Container Terminals”. Journal of transportation and logistics, 7(1):137-155. ,2022, doi: 10.26650/jtl.2022.1039692
[17] Sven, Scholz, . “Improving the Efficiency of Automated Transit Systems Compared to Traditional Train Operation”. 15th International Conference on Automated People Movers and Automated Transit Systems 2016 197-205. doi: 10.1061/9780784479797.019
[18] Tulub, Valentyn “Methods of increasing the level efficiency of automated systems”. Sistemi ta tehnologìï,. 2023. doi: 10.34185/1562-9945-4-147-2023-08
[19] Neelam, V., Anjali, J. “Optimized Automatic Lighting Control in a Hotel Building for Energy Efficiency”,2018, 168-172. doi: 10.1109/PEEIC.2018.8665417
[20] Sinoplu, M., & Ceyhan, E. B. (2023). Artificial intelligence-assisted energy management in smart buildings: A review. UMÜFED International Journal of Western Black Sea Engineering and Science, 5(1), 39-63.
[21] KNX Association, "KNX Overview." [Online]. Accessed (14.3.2024). Available: https://www.KNX.org/KNX-en/for-professionals/What-is-KNX/A-brief-introduction/
[22] KNX Commercial Building Management System (BMS) [Online]. Accessed (14.3.2024). Available: https://knxuk.org/2022/11/16/knx-commercial-building-management-system-bms/
[23] KNX IoT Thread for Building Automation [Online]. Accessed (14.3.2024). Available: https://www.nordicsemi.com/Products/Technologies/KNX-IoT
[24] Leizerovich, D., Quiroz, I. "High-power DALI." Patent (2021).
[25] Man-Lin, W., Che-Min, K., Yi-Nan,L “DALI-2 Intelligent Lighting Control System”. 2020 doi: 10.1109/IS3C50286.2020.00048
[26] Hans, G., Frank, G., Severin, D., Matthias, N. “Building automation system”. 2015.
[27] Propp, Michael. Building automation system Patent ,2018.
[28] Jeffrey, J., Gloudeman., Donald, A., Gottschalk., David, E., Rasmussen., Barrett, G., Wainscott. "Software components for a building automation system based on a standard object superclass." null (1998).
[29] Christian, K., Holger, K., Falk, Z. Building automation system. 2013.

Details

Primary Language

English

Subjects

Lighting

Journal Section

Research Article

Authors

Orhun Celil Özen
0009-0005-6007-708X
Türkiye

Onur Akar ^*
0000-0001-9695-886X
Türkiye

Nazmi Ekren
0000-0003-3530-9262
Türkiye

Publication Date

June 28, 2025

Submission Date

January 4, 2025

Acceptance Date

March 29, 2025

Published in Issue

Year 2025 Volume: 6 Number: 1

DOI

https://doi.org/10.53525/jster.1613256

IZ

https://izlik.org/JA42ZA69PX

APA

Özen, O. C., Akar, O., & Ekren, N. (2025). The Effect of Lighting and Curtain Automation on Energy Performance. Journal of Science, Technology and Engineering Research, 6(1), 42-53. https://doi.org/10.53525/jster.1613256

AMA

1.Özen OC, Akar O, Ekren N. The Effect of Lighting and Curtain Automation on Energy Performance. Journal of Science, Technology and Engineering Research. 2025;6(1):42-53. doi:10.53525/jster.1613256

Chicago

Özen, Orhun Celil, Onur Akar, and Nazmi Ekren. 2025. “The Effect of Lighting and Curtain Automation on Energy Performance”. Journal of Science, Technology and Engineering Research 6 (1): 42-53. https://doi.org/10.53525/jster.1613256.

EndNote

Özen OC, Akar O, Ekren N (June 1, 2025) The Effect of Lighting and Curtain Automation on Energy Performance. Journal of Science, Technology and Engineering Research 6 1 42–53.

IEEE

[1]O. C. Özen, O. Akar, and N. Ekren, “The Effect of Lighting and Curtain Automation on Energy Performance”, Journal of Science, Technology and Engineering Research, vol. 6, no. 1, pp. 42–53, June 2025, doi: 10.53525/jster.1613256.

ISNAD

Özen, Orhun Celil - Akar, Onur - Ekren, Nazmi. “The Effect of Lighting and Curtain Automation on Energy Performance”. Journal of Science, Technology and Engineering Research 6/1 (June 1, 2025): 42-53. https://doi.org/10.53525/jster.1613256.

JAMA

1.Özen OC, Akar O, Ekren N. The Effect of Lighting and Curtain Automation on Energy Performance. Journal of Science, Technology and Engineering Research. 2025;6:42–53.

MLA

Özen, Orhun Celil, et al. “The Effect of Lighting and Curtain Automation on Energy Performance”. Journal of Science, Technology and Engineering Research, vol. 6, no. 1, June 2025, pp. 42-53, doi:10.53525/jster.1613256.

Vancouver

1.Orhun Celil Özen, Onur Akar, Nazmi Ekren. The Effect of Lighting and Curtain Automation on Energy Performance. Journal of Science, Technology and Engineering Research. 2025 Jun. 1;6(1):42-53. doi:10.53525/jster.1613256

Studies published in the journal are licensed under a

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 (CC BY-NC-ND 4.0) International License.

Aydınlatma ve Perde Otomasyonunun Enerji Performansına Etkisi

Öz

Anahtar Kelimeler

The Effect of Lighting and Curtain Automation on Energy Performance

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite