Investigation of Building Automation Systems in Terms of Lighting Efficiency

Yıl 2024, Cilt: 14 Sayı: 3, 1571 – 1585, 15.09.2024

Fikret Kaya , Onur Akar , Nazmi Ekren

https://doi.org/10.31466/kfbd.1501560

Öz

Enerji kaynak rezervlerinin giderek azalmasına ile birlikte enerji tüketiminin de sürekli arttığı düşünülürse günümüz dünyasının en güncel ve çözüm bekleyen konusu enerjidir. Enerji kaynaklarının etkin kullanılması ile ilgili çeşitli akademik çalışmalar yapılmaktadır. Bu amaçla, binalarda enerjiyi daha verimli kullanabilmek adına “akıllı bina” fikri ortaya konmuştur. Bu akıllı binaların vazgeçilmez bir unsuru olan bina otomasyon sistemleri ile binanın enerji tüketimi büyük oranda azaltılabilmektedir. Bu çalışmada Marmara Üniversitesi Mehmet Genç kampüsü Teknik Bilimler Meslek Yüksekokulunda bir eğitim noktasında yapılan bina otomasyon sisteminin aydınlatma verimliliği incelenmiştir. Sistemin gözlem merkezinde Sauter Vision Center isimli yazılım programı kullanılmıştır. Programdan alınan belirli zaman dilimlerindeki enerji değerleri ile tam kullanımda hesaplanan enerji değerleri arasındaki karşılaştırılarak sonuçlar verimlilik açısından analiz edilmiştir. Analiz sonucunda elde edilen %54 aydınlatma verimliliği değerinin literatürde verilmiş olan değerlerin üzerinde görülmüştür.

Anahtar Kelimeler

Enerji Tasarrufu, Akıllı Bina, Aydınlatma Verimliliği, Sauter Vision Center

Kaynakça

• Barrett, R., (2009). The Case For Daylighting in Architecture. Archnet-IJAR, Volume 3, Issue 2.
• Butzin, B., Golatowski, F., Niedermeier, C., Vicari, N., & Wuchner, E. (2014). A model based development approach for Building Automation Systems. Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), 1, 1–6. https://doi.org/10.1109/etfa.2014.7005365
• Chen, Y., Liu, J., Pei, J., Cao, X., Chen, Q., & Jiang, Y. (2014). Experimental and simulation study on the performance of daylighting in an industrial building and its energy saving potential. Energy and Buildings, 73, 184–191. https://doi.org/10.1016/j.enbuild.2014.01.030
• Coskun, I., & Ardam, H., (1998). A remote controller for home and office appliances by telephone. IEEE Transactions on Consumer Electronics, 44(4), 1291–1297. https://doi.org/10.1109/30.735829
• Di Stefano, J. (2000). Energy efficiency and the environment: The potential for energy efficient lighting to save energy and reduce carbon dioxide emissions at Melbourne University, Australia. Energy, 25(9), 823–839. https://doi.org/10.1016/s0360-5442(00)00015-3
• Dubois, M.C., & Blomsterberg, Å. (2011). Energy saving potential and strategies for electric lighting in future North European, low Energy Office Buildings: A Literature Review. Energy and Buildings, 43(10), 2572–2582. https://doi.org/10.1016/j.enbuild.2011.07.001
• Erhan, I. T. (2018). Investigation of the Contribution of Lighting Automation to Energy Efficiency in Intelligent Buildings. Master's thesis, Istanbul University, Institute of Graduate Studies In Science and Engineering, Istanbul.
• Fabiani, C., Chiatti, C., & Pisello, A. L. (2021). Development of photoluminescent composites for energy efficiency in smart outdoor lighting applications: An experimental and numerical investigation. Renewable Energy, 172, 1–15. https://doi.org/10.1016/j.renene.2021.02.071
• Gao, M. (2022). Smart campus teaching system based on ZigBee wireless sensor network, Alexandria Engineering Journal, 61, 2625-2635.
• Işık, H., Altun, A.A. (2005). Mobile Phone Controlled Smart Home Application Using Microcontroller. Selçuk University Vocational School of Technical Sciences, Technical-Online Journal, 4(1):1-8
• Juslen, H. (2007). Lighting, productivity and preferrd illuminances – field studies in the industrial environment. (Unpublished doctoral dissertation). Helsinki University of Technology, Finland
• Kaminska, A., & Ożadowicz, A. (2018). Lighting control including daylight and energy efficiency improvements analysis. Energies, 11(8), 2166. https://doi:10.3390/en11082166
• Katafygiotou, M. C., & Serghides, D. K. (2014). Analysis of structural elements and energy consumption of school building stock in cyprus: Energy simulations and upgrade scenarios of a typical school. Energy and Buildings, 72, 8–16. https://doi:10.1016/j.enbuild.2013.12.024
• Küçükdoğu M, Ş., (2003). Effective Energy Use in Lighting, II. National Lighting Symposium, Diyarbakır.
• Li, J., Liu, D.Y. & Bo, Y. (2004). Smart Home Research. Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826). https://doi.org/10.1109/icmlc.2004.1382266
• Martirano, L. (2014). A sample case of an advanced lighting system in a educational building. 2014 14th International Conference on Environment and Electrical Engineering. https://doi:10.1109/eeeic.2014.6835834
• Ochoa, C. E., Aries, M. B. C., & Hensen, J. L. M. (2012). State of the art in lighting simulation for building science: A literature review. Journal of Building Performance Simulation, 5(4), 209–233. https://doi.org/10.1080/19401493.2011.558211
• Ożadowicz, A., (2017). A new concept of active demand side management for energy efficient prosumer microgrids with Smart Building Technologies. Energies, 10(11), 1771. https://doi:10.3390/en10111771
• Pellegrino, A., & Blaso, L. (2014). Lighting Control Strategies and Energy Efficiency Benefits. Sustainable Indoor Lighting, 303–334. https://doi.org/10.1007/978-1-4471-6633-7_16
• URL-1: https://www.tanotomasyon.com/urun/sauter-ems-ve-ems-mobil-ems-100-200/, (Erişim Tarihi: 20 April 2024).
• Yılmaz C., (2007). Profibus-dp Network Based Building Automation. Doctoral Thesis, Gazi University, Institute of Science and Technology, Ankara.
• Zhang, L., Leung, H., & Chan, K. (2008). Information fusion based Smart Home Control System and its Application. IEEE Transactions on Consumer Electronics, 54(3), 1157–1165. https://doi.org/10.1109/tce.2008.4637601
• Zhou, X., Yan, D., Hong, T., & Ren, X. (2015). Data Analysis and stochastic modeling of lighting energy use in large office buildings in China. Energy and Buildings, 86, 275–287. https://doi:10.1016/j.enbuild.2014.09.071

Investigation of Building Automation Systems in Terms of Lighting Efficiency

Yıl 2024, Cilt: 14 Sayı: 3, 1571 – 1585, 15.09.2024

Fikret Kaya , Onur Akar , Nazmi Ekren

https://doi.org/10.31466/kfbd.1501560

Öz

Considering that energy consumption is constantly increasing along with a gradual decrease in energy resource reserves, energy is the most current and pending issue in today’s world. Several academic studies have been conducted on the efficient use of energy resources. For this purpose, the idea of “smart building” has been proposed to use energy more efficiently in buildings. With building automation systems, which are indispensable elements of these smart buildings, the energy consumption of buildings can be greatly reduced. In this study, the lighting efficiency of a building automation system built at a training point in the Marmara University Mehmet Genç campus, Vocational School of Technical Sciences, was examined. The Sauter Vision Center software program was used at the observation center of the system. The results were analyzed in terms of efficiency by comparing the energy values in certain time periods obtained from the program with the energy values calculated in full use. The analysis yielded a lighting efficiency value of 54%, which was found to exceed the values reported in the literature.

Anahtar Kelimeler

Energy Saving, Smart Building, Lighting Efficiency, Sauter Vision Center

Kaynakça

• Barrett, R., (2009). The Case For Daylighting in Architecture. Archnet-IJAR, Volume 3, Issue 2.
• Butzin, B., Golatowski, F., Niedermeier, C., Vicari, N., & Wuchner, E. (2014). A model based development approach for Building Automation Systems. Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), 1, 1–6. https://doi.org/10.1109/etfa.2014.7005365
• Chen, Y., Liu, J., Pei, J., Cao, X., Chen, Q., & Jiang, Y. (2014). Experimental and simulation study on the performance of daylighting in an industrial building and its energy saving potential. Energy and Buildings, 73, 184–191. https://doi.org/10.1016/j.enbuild.2014.01.030
• Coskun, I., & Ardam, H., (1998). A remote controller for home and office appliances by telephone. IEEE Transactions on Consumer Electronics, 44(4), 1291–1297. https://doi.org/10.1109/30.735829
• Di Stefano, J. (2000). Energy efficiency and the environment: The potential for energy efficient lighting to save energy and reduce carbon dioxide emissions at Melbourne University, Australia. Energy, 25(9), 823–839. https://doi.org/10.1016/s0360-5442(00)00015-3
• Dubois, M.C., & Blomsterberg, Å. (2011). Energy saving potential and strategies for electric lighting in future North European, low Energy Office Buildings: A Literature Review. Energy and Buildings, 43(10), 2572–2582. https://doi.org/10.1016/j.enbuild.2011.07.001
• Erhan, I. T. (2018). Investigation of the Contribution of Lighting Automation to Energy Efficiency in Intelligent Buildings. Master's thesis, Istanbul University, Institute of Graduate Studies In Science and Engineering, Istanbul.
• Fabiani, C., Chiatti, C., & Pisello, A. L. (2021). Development of photoluminescent composites for energy efficiency in smart outdoor lighting applications: An experimental and numerical investigation. Renewable Energy, 172, 1–15. https://doi.org/10.1016/j.renene.2021.02.071
• Gao, M. (2022). Smart campus teaching system based on ZigBee wireless sensor network, Alexandria Engineering Journal, 61, 2625-2635.
• Işık, H., Altun, A.A. (2005). Mobile Phone Controlled Smart Home Application Using Microcontroller. Selçuk University Vocational School of Technical Sciences, Technical-Online Journal, 4(1):1-8
• Juslen, H. (2007). Lighting, productivity and preferrd illuminances – field studies in the industrial environment. (Unpublished doctoral dissertation). Helsinki University of Technology, Finland
• Kaminska, A., & Ożadowicz, A. (2018). Lighting control including daylight and energy efficiency improvements analysis. Energies, 11(8), 2166. https://doi:10.3390/en11082166
• Katafygiotou, M. C., & Serghides, D. K. (2014). Analysis of structural elements and energy consumption of school building stock in cyprus: Energy simulations and upgrade scenarios of a typical school. Energy and Buildings, 72, 8–16. https://doi:10.1016/j.enbuild.2013.12.024
• Küçükdoğu M, Ş., (2003). Effective Energy Use in Lighting, II. National Lighting Symposium, Diyarbakır.
• Li, J., Liu, D.Y. & Bo, Y. (2004). Smart Home Research. Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826). https://doi.org/10.1109/icmlc.2004.1382266
• Martirano, L. (2014). A sample case of an advanced lighting system in a educational building. 2014 14th International Conference on Environment and Electrical Engineering. https://doi:10.1109/eeeic.2014.6835834
• Ochoa, C. E., Aries, M. B. C., & Hensen, J. L. M. (2012). State of the art in lighting simulation for building science: A literature review. Journal of Building Performance Simulation, 5(4), 209–233. https://doi.org/10.1080/19401493.2011.558211
• Ożadowicz, A., (2017). A new concept of active demand side management for energy efficient prosumer microgrids with Smart Building Technologies. Energies, 10(11), 1771. https://doi:10.3390/en10111771
• Pellegrino, A., & Blaso, L. (2014). Lighting Control Strategies and Energy Efficiency Benefits. Sustainable Indoor Lighting, 303–334. https://doi.org/10.1007/978-1-4471-6633-7_16
• URL-1: https://www.tanotomasyon.com/urun/sauter-ems-ve-ems-mobil-ems-100-200/, (Erişim Tarihi: 20 April 2024).
• Yılmaz C., (2007). Profibus-dp Network Based Building Automation. Doctoral Thesis, Gazi University, Institute of Science and Technology, Ankara.
• Zhang, L., Leung, H., & Chan, K. (2008). Information fusion based Smart Home Control System and its Application. IEEE Transactions on Consumer Electronics, 54(3), 1157–1165. https://doi.org/10.1109/tce.2008.4637601
• Zhou, X., Yan, D., Hong, T., & Ren, X. (2015). Data Analysis and stochastic modeling of lighting energy use in large office buildings in China. Energy and Buildings, 86, 275–287. https://doi:10.1016/j.enbuild.2014.09.071

Toplam 23 adet kaynakça vardır.

Ayrıntılar

Kaynak Göster

Download or read online: Click here