An IoT-Enabled Smart Energy Management System to Improve Energy Efficiency in University Laboratory
DOI:
10.33395/sinkron.v8i2.13584Abstract
Efficient energy management remains a challenge in university laboratories. The aim of this study is to develop and deploy an Internet of Things (IoT) system that can automatically adjust electronic devices to improve the efficiency of power consumption in the university laboratory. An advanced system is urgently needed to support sustainable and effective energy management. A smart IoT-based energy management system can improve energy efficiency, reduce operating costs, and reduce negative environmental impacts. The system enables both human and automated control of lighting and air conditioning using scheduling and occupancy detection. This development-based research uses a product design methodology that includes both software and hardware. The software product in this research is an IoT platform website for managing IoT devices. The essential processes include defining project goals and requirements, designing a system architecture, creating a user experience design, developing and integrating components, and conducting tests. The system is successful in automatically monitoring and controlling electronic devices based on certain parameters such as scheduling and presence detection. The system meets most of the specified functional and non-functional requirements as demonstrated in experiments, although it is somewhat limited by hardware limitations. Ultimately, the system increases the energy efficiency of the laboratory and thus successfully fulfills the research goal. This innovative project could be a blueprint for other smart energy control efforts.
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References
Desai, P. (2015). Python Programming for Arduino. Packt Publishing Ltd.
Francis Jesmar P. Montalbo, & Erwin Enriquez. (2020). An IoT Smart Lighting System for University Class-rooms. http://dx.doi.org/10.1109/ISET49818.2020.00011
Georgios Mylonas, Dimitrios Amaxilatis, Lidia Pocero, Iraklis Markelis, Joerg Hofstaetter, & Pavlos Koulouris. (2019). Using an Educational IoT Lab Kit and Gamification for Energy Awareness in European Schools. arXiv: Human-Computer Interaction. http://dx.doi.org/10.1145/3213818.3213823
J. Yasuoka, Gabrielly Araújo Cordeiro, José Luiz Pereira Brittes, Robert Eduardo Cooper Ordoñez, Sergio Valdir Bajay, & Eduardo Nunes. (2022). IoT solution for energy management and efficiency on a Brazilian university campus – a case study. International Journal of Sustainability in Higher Education, 24(2), 426–448.
Karam M. Al-Obaidi, Mohataz Hossain, N. A. M. Alduais, Husam S. Al-Duais, Hossein Omrany, & Amirhosein Ghaffarianhoseini. (2022). A Review of Using IoT for Energy Efficient Buildings and Cities: A Built Environment Perspective. Energies, 15(16), 5991–5991.
Laura Dryjanska, Jana Kostalova, & Davorka Vidović. (2022). Higher Education Practices for Social Innova-tion and Sustainable Development. Innovation, Technology and Knowledge Management, 107–128.
M. Usman Saleem, M. Rehan Usman, & Mustafa Shakir. (2021). Design, Implementation, and Deployment of an IoT Based Smart Energy Management System. IEEE Access, 9, 59649–59664.
Mahmoud Elsisi, Mahmoud Elsisi, Minh-Quang Tran, Karar Mahmoud, Karar Mahmoud, Matti Lehtonen, Mo-hamed M. F. Darwish, & Mohamed M. F. Darwish. (2021). Deep Learning-Based Industry 4.0 and In-ternet of Things towards Effective Energy Management for Smart Buildings. Sensors. http://dx.doi.org/10.3390/S21041038
Mohamed A. Ahmed, Sebastian A. Chavez, Ali M. Eltamaly, Hugo O. Garces, Alejandro J. Rojas, & Young-Chon Kim. (2022). Toward an Intelligent Campus: IoT Platform for Remote Monitoring and Control of Smart Buildings. Sensors, 22(23), 9045–9045.
Mohamed El-Sayed M. Essa, Ahmed M. El-shafeey, Amna Hassan Omar, Adel Essa Fathi, Ahmed Sabry Abo El Maref, Joseph Victor W. Lotfy, & Mohamed Saleh El-Sayed. (2023). Reliable Integration of Neural Network and Internet of Things for Forecasting, Controlling, and Monitoring of Experimental Building Management System. Sustainability, 15(3), 2168–2168.
Pedro Moura, Jose Ignacio Moreno, Gregorio López López, & Manuel Alvarez-Campana. (2021). IoT Platform for Energy Sustainability in University Campuses. Sensors. http://dx.doi.org/10.3390/S21020357
Perera, S., & Elphick, S. (2023). Chapter 5—Impact and management of voltage fluctuations, flicker and rapid voltage changes. In S. Perera & S. Elphick (Eds.), Applied Power Quality (pp. 131–146). Elsevier. https://doi.org/10.1016/B978-0-323-85467-2.00007-X
S. T. Siddiqui, M. R. Khan, Z. Khan, N. Rana, H. Khan, & M. I. Alam. (2023). Significance of Internet-of-Things Edge and Fog Computing in Education Sector. 2023 International Conference on Smart Computing and Application (ICSCA), 1–6. https://doi.org/10.1109/ICSCA57840.2023.10087582
Wen-Jye Shyr, Li-Wen Zeng, Chen-Kun Lin, Chia-Ming Lin, & Wen-Ying Hsieh. (2018). Application of an Ener-gy Management System via the Internet of Things on a University Campus. Eurasia Journal of Math-ematics, Science and Technology Education, 14(5), 1759–1766.
Wibowo, F., Bibi, Sarah, & Suheri. (2023). Desain dan Implementasi Smart Energy Monitoring Berbasis IoT Laboratorium Teknik Informatika POLNEP.
Zulaykha Khurshid Dijoo & Rizwana Khurshid. (2022). Environmental Degradation as a Multifaceted Conse-quence of Human Development. In Environmental Biotechnology (1st edition, pp. 39–56). Apple Ac-ademic Press. http://dx.doi.org/10.1201/9781003277279-2
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Copyright (c) 2024 Fitri Wibowo, Suheri, Pausta Yugianus
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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