IOT-based monitoring and control system for renewable energy generation

被引:0
作者
Akkur, Malatesh S. [1 ]
Panwar, Vipin [2 ]
Barve, Amit [3 ]
Misra, Debashis Dev [4 ]
机构
[1] JAIN, Sch Sci, Dept Phys & Elect, Bangalore 560027, India
[2] Vivekananda Global Univ, Dept Comp Sci & Engn, Jaipur, Rajasthan, India
[3] Parul Univ, Parul Inst Engn & Technol, Fac Engn & Technol, Dept Comp Sci & Engn, Vadodara, Gujarat, India
[4] Assam Down Town Univ, Dept Comp Sci & Engn, Gauhati 781026, Assam, India
关键词
Internet of Things (IoT); Distributed control system (DCS); Energy consumption; Power consumption;
D O I
10.1007/s13198-024-02565-8
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
For effective energy distribution and use, the idea of smart solutions is gaining more and more traction. By using the resources effectively, the need for energy consumption must be reduced. These include minimizing energy use, database efficiency, and effective communication infrastructure. This proposal guarantees efficient resource utilization through optimization. Here, industrial Internet of Things (IoT) and distributed control systems are used to control and monitor energy solutions. The IoT is used by the suggested architecture to gather data on the power profiles of various heterogeneous devices. A schedule is created and distributed for specific devices based on the information gathered. The major goal of this study is to work collaboratively with all installed mechanical, electrical, and electronic components as well as diverse power sources to effectively manage energy use and control. Here, all of the devices are linked to the Distributed Control System (DCS) module so that commands can be generated for the entire system while still being in control of the devices linked to this module. Therefore, regardless of the number of connected devices, the proposed system with a single controller DCS is simple to configure, evaluate the power consumption, and direct the user to use the power effectively.
引用
收藏
页数:10
相关论文
共 15 条
[1]  
Ali M., 2020, INT J ENG APPL SCI T, V04, P335, DOI [10.33564/ijeast.2020.v04i09.042, DOI 10.33564/IJEAST.2020.V04I09.042]
[2]   IoT-Based Hybrid Renewable Energy System for Smart Campus [J].
Eltamaly, Ali M. ;
Alotaibi, Majed A. ;
Alolah, Abdulrahman, I ;
Ahmed, Mohamed A. .
SUSTAINABILITY, 2021, 13 (15)
[3]   Towards Energy and Performance-aware Geographic Routing for IoT-enabled Sensor Networks [J].
Hameed, Ahmad Raza ;
ul Islam, Saif ;
Raza, Mohsin ;
Khattak, Hasan Ali .
COMPUTERS & ELECTRICAL ENGINEERING, 2020, 85
[4]   A smart IoT based system for monitoring and controlling the sub-station equipment [J].
Hossain, Md. Sanwar ;
Rahman, Mostafizur ;
Sarker, Md. Tuhin ;
Haque, Md. Ershadul ;
Jahid, Abu .
INTERNET OF THINGS, 2019, 7
[5]  
Islam MS, 2019, 2019 INT C SUST TECH
[6]  
Khaoula T., 2021, Procedia Comput Sci, V191, P493, DOI 10.1016/j.procs.2021.07.063
[7]   Digital Technology Implementation in Battery-Management Systems for Sustainable Energy Storage: Review, Challenges, and Recommendations [J].
Krishna, Gopal ;
Singh, Rajesh ;
Gehlot, Anita ;
Akram, Shaik Vaseem ;
Priyadarshi, Neeraj ;
Twala, Bhekisipho .
ELECTRONICS, 2022, 11 (17)
[8]   Iot based sustainable wind green energy for smart cites using fuzzy logic based fractional order darwinian particle swarm optimization [J].
Malar, A. Jasmine Gnana ;
Kumar, C. Agees ;
Saravanan, A. Gnana .
MEASUREMENT, 2020, 166
[9]  
Malik A, 2022, Fault Analysis and its Impact on Grid-connected Photovoltaic Systems Performance, P291
[10]  
Manu D, 2022, IOP Conference Series: Earth and Environmental Science, V1026