Abstract
Nowadays, in commercial buildings, the major source of light is artificial lights (LED) which consume a major portion of conventional electricity. Commercial buildings such as schools, colleges, hotels, and malls are designed with quite old lighting systems with fluorescent lamps. Due to the crisis of non-renewable resources of power, the adoption of a smart renewable grid to supply electricity is increasing day by day. This paper is mainly focused to upgrade the existing commercial building infrastructure with application daylight harvesting systems with the integration of Artificial Intelligence. This system is composed of intelligent light collectors, optic fiber guided medium, intelligent luminaires, and control systems. Different controllers are integrated into the framework that is co-ordinated through IoT. The hybrid system will show energy conservation for both old and new commercial buildings.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Marszal, J., Heiselberg, P., Bourrelle, J.S., et al.: Zero Energy Building—a review of definitions and calculation methodologies. Energy Build. 43, 971–979 (2011)
Torcellini, P., Pless, S., Deru, M.: Zero energy buildings: a critical look at the definition. In: ACEEE Summer Study on Energy Efficiency in Buildings. Pacific Grove, CA, USA (2006)
Wang, J.C.: A study on the energy performance of school buildings in Taiwan. Energy Build. 133, 810–822 (2016)
Kim, S.-K., Le, S.-J.: Zero-energy home development in Korea: energy-efficient and environmentally friendly design features and future directions. J. Housing Soc. 42 (2015)
Doulos, L.T., Kontadakis, A.: Minimizing energy consumption for artificial lighting in a typical classroom of a Hellenic public school aiming for near Zero Energy Building using LED DC luminaires and daylight harvesting systems. Energy Build 194, 201–217 (2019)
Gorthala, R., Tidd, M., Lawless, S.: Design and development of a faceted secondary concentrator for a fiber-optic hybrid solar lighting system. Sol. Energy 157, 629–40 (2017)
Han, H.J., Riffat, S.B., Lim, S.H., Oh, S.J.: Fiber optic solar lighting: functional competitiveness and potential. Sol. Energy 94, 86–101 (2013)
Kandilli, C., Turkoglu, A.K., Ulgen, K.: Transmission performance of fiber-optic bundle for solar lighting. Int. J. Energy Res. 33, 194–204 (2009)
Barman, M., Mahapatra, S., Palit, D., Chaudhury, M.K.: Performance and impact evaluation of solar home lighting systems on the rural livelihood in Assam, India. Energy Sustain Dev. 38, 10–20 (2017)
Torcellini, P., Pless, S.: Zero energy buildings: a critical look at the definition. In: ACEEE Summer Study Energy Eff. Build. 3, 417–428 (2006)
Danny, H., Li, W., Yang, L.: Zero energy buildings and sustainable development implications e a review. Energy 1–10 (2013)
Musall, E., Weiss, T., Lenoir, A., Voss, K., Garde, F., Donn, M.: Net zero energy solar buildings: an overview and analysis on worldwide building projects. In: EuroSun Conference. Graz, Austria (2010)
Lê, Q., Nguyen, H.B., Barnett, T.: Smart homes for older people: positive aging in a digital world. Future Internet 4, 607–617 (2012)
Rochefort, H.C.: EU smart readiness indicator for buildings (2019)
Verbeke, S., Ma, Y., Van Tichelen, P., Bogaert Waide Strategic Efficiency, S., Waide OFFIS, P., Uslar, M., & Schulte, J.: Support for setting up a smart readiness indicator for buildings and related impact assessment Interim report (2017)
Yu, X., Su, Y.: Daylight availability assessment and its potential energy saving estimation—a literature review. Renew. Sustain. Energy Rev. 52, 494–503 (2015)
Shaw, R.N., Walde, P., Ghosh, A.: IOT based MPPT for performance improvement of solar PV arrays operating under partial shade dispersion. In: 2020 IEEE 9th Power India International Conference (PIICON), SONEPAT, India, pp. 1–4. 10.1109/PIICON49524.2020.9112952 (2020)
de Rubeis, T., Nardi, I., Muttillo, M., Ranieri, S., Ambrosini, D.: Room and window geometry influence for daylight harvesting maximization–Effects on energy savings in an academic classroom. Energy Procedia (2018)
Delvaeye, R., Ryckaert, W., Stroobant, L., Hanselaer, P., Klein, R., Breesch, H.: Analysis of energy savings of three daylight control systems in a school building by means of monitoring. Energy Build. 127, 969–979 (2016)
Yu, X., Su, Y., Chen, X.: Application of RELUX simulation to investigate energy saving potential from daylighting in a new educational building in UK. Energy Build. 74, 191–202 (2014)
Dascalaki, E.G., Balaras, C.A., Gaglia, A.G., Droutsa, K.G., Kontoyiannidis, S.: Energy performance of buildings—EPBD in Greece. Energy Policy 45, 469– 477 (2012)
Mandal, S., Balas, V.E., Shaw, R.N., Ghosh, A.: Prediction analysis of idiopathic pulmonary fibrosis progression from OSIC dataset. In: 2020 IEEE International Conference on Computing, Power and Communication Technologies (GUCON), Greater Noida, India, pp. 861–865 (2020) https://doi.org/10.1109/gucon48875.2020.9231239
Fasi, M.A., Budaiwi, I.M.: Energy performance of windows in office buildings considering daylight integration and visual comfort in hot climates. Energy Build. 108, 307–316 (2015)
Qiu, C., Yang, H.: Daylighting and overall energy performance of a novel semi-transparent photovoltaic vacuum glazing in different climate zones. Appl. Energy 276, 115414 (2020)
Mandal, S., Biswas, S., Balas, V.E., Shaw, R.N., Ghosh, A.: Motion prediction for autonomous vehicles from lyft dataset using deep learning. In: 2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA), Greater Noida, India, pp. 768–773 (2020) https://doi.org/10.1109/iccca49541.2020.9250790
Kennedy, D.M., Rourke, F.O.: Experimental analysis of a scaled, multi-aperture, light-pipe, daylighting system. Sol. Energy 122, 181–190 (2015)
Vu, N.H., Shin, S.: Cost-effective optical fiber daylighting system using modified compound parabolic concentrators. Sol. Energy 136, 145–152 (2016)
Kumar, M., Shenbagaraman, V.M., Shaw, R.N., Ghosh, A.: Predictive data analysis for energy management of a smart factory leading to sustainability. In: Favorskaya, M., Mekhilef, S., Pandey, R., Singh, N. (eds.) Innovations in Electrical and Electronic Engineering. Lecture Notes in Electrical Engineering, vol. 661. Springer, Singapore (2021). https://doi.org/10.1007/978-981-15-4692-1_58
Li, X., Wei, Y., Zhang, J., Jin, P.: Design and analysis of an active daylight harvesting system for building. Renew. Energy 139, 670–678 (2019)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Goyal, S.B., Bedi, P., Rajawat, A.S., Shaw, R.N., Ghosh, A. (2022). Smart Luminaires for Commercial Building by Application of Daylight Harvesting Systems. In: Bianchini, M., Piuri, V., Das, S., Shaw, R.N. (eds) Advanced Computing and Intelligent Technologies. Lecture Notes in Networks and Systems, vol 218. Springer, Singapore. https://doi.org/10.1007/978-981-16-2164-2_24
Download citation
DOI: https://doi.org/10.1007/978-981-16-2164-2_24
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-2163-5
Online ISBN: 978-981-16-2164-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)