Effective indicators in Energy Management using the Internet of Things (IoT)

Document Type : Original Article

Authors

1 MSc. Student, Department of Information Technology, Faculty of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran. Email: morteza.nourmehdi@email.kntu.ac.i

2 Assistant Professor of, Department of Information Technology, Faculty of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran. Email: zahedi@kntu.ac.ir

Abstract

Energy management based on the Internet of Things is an intelligent method to control energy consumption and production. Energy can be managed intelligently and optimally using sensors, smart devices, and communication networks. The current research aims to extract effective indicators of energy management based on the Internet of Things. This research extracted five main indicators (criteria) and twenty-two sub-criteria from previous studies. While DIMTEL and TOPSIS methods cannot resolve the ambiguity of the verbal evaluations made by the decision-makers, triangular fuzzy numbers were used in all these techniques. To analyze the research data, the indicators were ranked based on the effectiveness of each of them, and the type of relationship between the factors was investigated using the fuzzy Dimetal method. Based on this,, energy cost, has won first place in energy management based on the Internet of Things. The criterion of social benefits, won second place, and the criterion of protocols and standards, won third place.

Keywords

Main Subjects

References

Abdulahi, O., and Zaghri, N., (2018). Energy control solutions in smart buildings by Internet of Things, Second National Conference of Applied Researches in Electrical Sciences, Computer and Medical Engineering, Shirvan, Research Institute of Paya Shahr Etrak and Specialized Scientific Journal of PayaShahr. https://civilica.com/doc/902838/
Abu, Sayem M. , et al. , 2023. State of the art of lithium-ion battery material potentials: an analytical evaluations, issues and future research directions. J. Clean. Prod. vol. 394 https://doi. org/10. 1016/j. jclepro. 2023. 136246. https://doi.org/10.1016/j.jclepro.2023.136246
Ahmad, T. , Zhang, D. , 2021. Using the internet of things in smart energy systems and networks. Sustain. Cities Soc. vol. 68 (10278), 3. https://doi.org/10.1016/j.scs.2021.102783
Ahmadi, S. E. , Rezaei, N. , Khayyam, H. , 2020. Energy management system of networked microgrids through optimal reliability-oriented day-ahead self-healing scheduling. Sustain. Energy, Grids Netw. vol. 23 (10038), 7. https://doi.org/10.1016/j.segan.2020.100387
Akram, A., Abbas, S., Khan, M., Athar, A., Ghazal, T., & Al Hamadi, H. (2024). Smart Energy Management System Using Machine Learning. Computers, Materials & Continua, 78(1).
Al-Azez, Z. T. , Lawey, A. Q. , El-Gorashi, T. E. H. , Elmirghani, J. M. H. , 2019. Energy efficient IoT virtualization framework with peer to peer networking and processing. IEEE Access vol. 7, 50697–50709. https://doi.org/10.1109/ACCESS.2019.2911117
Al-Shetwi, A. Q. , Hannan, M. A. , Jern, K. P. , Mansur, M. , Mahlia, T. M. I. , 2020. Gridconnected renewable energy sources: review of the recent integration requirements and control methods. J. Clean. Prod. vol. 253. https://doi.org/10.1016/j.jclepro.2019.119831
Australian Trade and Investment Comisssion, “Grids and storage solutions,” 2023. https://www.globalaustralia.gov.au/industries/net-zero/grids-storage (accessed Sep. 21, 2023). Baharani, M. , Biglarbegian, M. , Parkhideh, B. , Tabkhi, H. , 2019. Real-time deep learning at the edge for scalable reliability modeling of Si-MOSFET power electronics converters. IEEE Internet Things J. vol. 6, 7375–7385.
Bastida, L. , Cohen, J. J. , Kollmann, A. , Moya, A. , Reichl, J. , 2019. Exploring the role of ICT on household behavioural energy efficiency to mitigate global warming. Renew. Sustain. Energy Rev. vol. 103, 455–462. https://doi.org/10.1016/j.rser.2019.01.004
Sh., Sabbaghi Nadushan, R,. and Mola, M., (2016). optimization of energy consumption in smart home based on Internet of Things, second national conference of applied research in computer electrical engineering and information technology, Shiraz, Kharazmi Higher Institute of Science and Technology. https://civilica.com/doc/660817/
Behrouzi, A., Abdyazdan, M., and Nouri Mehr, M.R,. (2018). optimization of energy consumption in smart building using fuzzy decision tree based on Internet of Things, 5th National Conference on Distributed Computing and Big Data Processing, Tabriz, Shahid Madani University of Azerbaijan. https://civilica.com/doc/961945/
Behrouzi, A., Abdyazdan, M,. and Nouri Mehr, M.R., (2018). Presentation of Fuzzy-Neural Algorithm based on Internet of Things for Energy Optimization in Smart Building, 5th National Conference on Distributed Computing and Big Data Processing, Tabriz, Shahid Madani University of Azerbaijan. https://civilica.com/doc/961944/
Bistline, J. E. T. , Blanford, G. J. , 2021. Impact of carbon dioxide removal technologies on deep decarbonization of the electric power sector. Nat. Commun. vol. 12 (1), 1–12. https://doi.org/10.1038/s41467-021-23554-6
Cao, J. and Yang, M. , 2013, December. Energy internet–towards smart grid 2. 0. In Networking and Distributed Computing (ICNDC), 2013 Fourth International Conference on (pp. 105-110). IEEE. https://doi.org/10.1109/ICNDC.2013.10
Choi, Hyo-Sub, and Kyeo-Rae Yeom. "Study on an Energy-IoT Service Platform for Energy Saving in Legacy Manufacturing Site. " In 2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN), pp. 811-813. IEEE, 2018. https://doi.org/10.1109/ICUFN.2018.8436969
Collier, S. E. , 2015, April. The emerging enernet: Convergence of the smart grid with the internet of things. In Rural Electric Power Conference (REPC), 2015 IEEE (pp. 65-68). IEEE. https://doi.org/10.1109/MIAS.2016.2600737
Cui, S., Wang, Y. W., & Xiao, J. W. (2019). Peer-to-peer energy sharing among smart energy buildings by distributed transaction. IEEE Transactions on Smart Grid, 10(6), 6491-6501.‏ https://doi.org/10.1109/TSG.2019.2906059
Ejaz, W. , Naeem, M. , Shahid, A. , Anpalagan, A. , & Jo, M. (2017). Efficient energy management for the internet of things in smart cities. IEEE Communications Magazine, 55(1), 84-91. https://doi.org/10.1109/MCOM.2017.1600218CM
El-Saadawi, E., Abohamama, A. S., & Alrahmawy, M. F. (2024). IoT-based Optimal Energy Management in Smart Homes using Harmony Search Optimization Technique. International Journal of communication and computer Technologies, 12(1), 1-20.
 
Hsia, Chih-Hsien, Shih-Chieh Yen, and Jing-Han Jang. "An Intelligent IoT-based Vision System for Nighttime Vehicle Detection and Energy Saving. " Sensors and Materials 31, no. 6 (2019): 1803-1814. https://doi.org/10.18494/SAM.2019.2351
Jang, H. , Kang, B. , Cho, K. , hee Jang, K. , & Park, S. "Design and Implementation of IoT-based HVAC and Lighting System for Energy Saving. " In MATEC Web of Conferences, vol. 260, p. 02012. EDP Sciences, 2019. https://doi.org/10.1051/matecconf/201926002012
Jha, B. K., Tiwari, A., Kuhada, R. B., & Pindoriya, N. M. (2024). IoT-enabled Smart Energy Management Device for Optimal Scheduling of Distributed Energy Resources. Electric Power Systems Research, 229, 110121.
John, A. , Rajput, A. , & Babu, K. V. (2017, April). Energy saving cluster head selection in wireless sensor networks for internet of things applications. In 2017 International Conference on Communication and Signal Processing (ICCSP) (pp. 0034-0038). IEEE. https://doi.org/10.1109/ICCSP.2017.8286486
Kayseri, M., Hosseini, S., and Vahdat, D., (2013). the role of modern Internet of Things technology in the field of energy consumption of smart homes, National Conference on Sustainable Architecture and Urban Development, Bukan, Sazeh Kavir Company. https://civilica.com/doc/214416/
Li, J., Herdem, M. S., Nathwani, J., & Wen, J. Z. (2023). Methods and applications for Artificial Intelligence, Big Data, Internet of Things, and Blockchain in smart energy management. Energy and AI, 11, 100208.
Liu, Y. , Yang, C. , Jiang, L. , Xie, S. , & Zhang, Y. (2019). Intelligent edge computing for IoT-based energy management in smart cities. IEEE Network, 33(2), 111-117. https://doi.org/10.1109/MNET.2019.1800254
Liu, J. (2024). The energy storage and optimal dispatch supply chain for new energy grids using edge computing and the internet of things. Expert Systems, 41(5), e13266.
Masoudi, A,. (2018). Smart and optimizing energy consumption in buildings with Internet of Things technology, Second International Conference on Civil Engineering, Architecture and Urban Development Management in Iran, Tehran, Maragheh University of Technology. https://civilica.com/doc/973495/
Miglinejad, E., and Sarmadi, S,. (2016). optimization of energy consumption in smart homes, second international conference on electrical engineering, Tehran, Allameh Majlesi University. https://civilica.com/doc/698698/
Mishra, P., & Singh, G. (2023). Energy management systems in sustainable smart cities based on the internet of energy: A technical review. Energies, 16(19), 6903.
Manivannan, R. (2024). Research on IoT-based hybrid electrical vehicles energy management systems using machine learning-based algorithm. Sustainable Computing: Informatics and Systems, 41, 100943.
Mylonas, G. , Amaxilatis, D. , Tsampas, S. , Pocero, L. , & Gunneriusson, J. (2019). A Methodology for Saving Energy in Educational Buildings Using an IoT Infrastructure. arXiv preprint arXiv:1907. 07760. https://doi.org/10.1109/IISA.2019.8900707
Oliner, Adam J. , Anand P. Iyer, Ion Stoica, Eemil Lagerspetz, and Sasu Tarkoma. "Carat: Collaborative energy diagnosis for mobile devices. " In Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, p. 10. ACM, 2013. https://doi.org/10.1145/2517351.2517354
Patel, Maulik A. "OCCUPANCY DRIVEN SMART ENERGY SAVING SYSTEM FOR INSTITUTE LIBRARY USING IOT. " LIBRARIANSHIP DEVELOPMENT THROUGH INTERNET OF THINGS AND CUSTOMER SERVICE (2019): 375.
Prathik, M. , Anitha, K. , & Anitha, V. (2018, February). Smart Energy Meter Surveillance Using IoT. In 2018 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS) (pp. 186-189). IEEE. https://doi.org/10.1109/ICPECTS.2018.8521650
Rifkin, J., The Third Industrial Revolution: How the Internet, Green Electricity, and 3-D Printing are. feelingeurope. eu.
Rosyidi, L. , & Sari, R. F. (2016, November). Energy harvesting aware protocol for 802. 11-based Internet of Things network. In 2016 IEEE Region 10 Conference (TENCON) (pp. 1325-1328). IEEE. https://doi.org/10.1109/TENCON.2016.7848228
Raza, A., Jingzhao, L., Ghadi, Y., Adnan, M., & Ali, M. (2024). Smart home energy management systems: Research challenges and survey. Alexandria Engineering Journal, 92, 117-170.
Saleem, M.U., M.R. Usman, and M. Shakir, Design, implementation, and deployment of an IoT based smart energy management system. IEEE Access, 2021. 9: p. 59649-59664.
Serra, Jordi, David Pubill, Angelos Antonopoulos, and Christos Verikoukis. "Smart HVAC control in IoT: Energy consumption minimization with user comfort constraints. " The Scientific World Journal 2014 . https://doi.org/10.1155/2014/161874
Shapsough, S. , Qatan, F. , Aburukba, R. , Aloul, F. and Al Ali, A. R. , 2015, October. Smart Grid cyber security: Challenges and solutions. In Smart Grid and Clean Energy Technologies (ICSGCE), 2015 International Conference on (pp. 170-175). IEEE. https://doi.org/10.1109/ICSGCE.2015.7454291
Singh, P. P. , Khosla, P. K. , & Mittal, M. (2019). Energy Conservation in IoT-Based Smart Home and Its Automation. In Energy Conservation for IoT Devices (pp. 155-177). Springer, Singapore. https://doi.org/10.1007/978-981-13-7399-2_7
Sittón-Candanedo, I. , Alonso, R. S. , García, Ó. , Muñoz, L. , & Rodríguez-González, S. (2019). Edge computing, iot and social computing in smart energy scenarios. Sensors, 19(15), 3353. https://doi.org/10.3390/s19153353
Terroso-Saenz, F. , González-Vidal, A. , Ramallo-González, A. P. , & Skarmeta, A. F. (2019). An open IoT platform for the management and analysis of energy data. Future Generation Computer Systems, 92, 1066-1079. https://doi.org/10.1016/j.future.2017.08.046
Zhang, D., Liu, S., & Papageorgiou, L. G. (2014). Fair cost distribution among smart homes with microgrid. Energy Conversion and Management, 80, 498-508.‏ https://doi.org/10.1016/j.enconman.2014.01.012
Zhou, X. , Wang, F. and Ma, Y. , 2015, August. An overview on energy internet. In Mechatronics and Automation (ICMA), 2015 IEEE International Conference on (pp. 126-131). IEEE. https://doi.org/10.1109/ICMA.2015.7237469
 
Send comment about this article
CAPTCHA Image

Files

Share

How to cite

Statistics