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A Novel Method for Implementing the IoT-Based Hybrid Energy System with Pollution Monitoring and Control in Coastal Roadways

  • R. Jai Ganesh,
  • P. Sabarish,
  • Natarajan Sirukarumbur Pandurangan,
  • Suresh Muthusamy,
  • Mohit Bajaj,
  • Nachiketa Tarasia,
  • M. Kandpal,
  • Rabindra K. Barik

摘要

According to Ministry of New and Renewable Energy (MNRE) as of September 2021, the renewable energy sources only constitute about 38% and large hydropower plants produce 14.35% of the whole demand in India which is very meager. It is important to find other methods of power generation to compensate for the demand. According to Tamil Nadu Generation and Distribution Corporation Limited (TANGEDCO), the power demand crosses the 47,905.87 MW mark, and to satisfy the energy needs of the State has a conventional installed capacity of 16,034.58 MW and non-conventional installed capacity of 15,871.29 MW. Non-renewable energy sources such as fuel, gasoline, and oils are referred to as “conventional installation” in this context. Renewable energy sources, often known as non-conventional installation, are resource that is renewed by natural phenomena on a constant basis. It is necessary to increase the utilization of renewable energy in every possible way. The pollution created by the non-renewable energy sources is another major problem to consider, the emission created by the vehicles increases day by day, but the environment can't eradicate it, government is also initiating steps to reduce the pollution by implementing Bharat stage VI. In order to overcome the above problem, this paper proposes an integrated renewable energy sources such as solar and wind energy to reduce the energy demand, control and monitor the pollution near the coastal area. The implementation of proposed work in coastal area is due to huge potential for wind energy production. This proposed system planned to use hybrid sources, sensors and controller with Internet of Things (IoT) enabled technology for proper monitor and control. After the study of environment data near the coastal area, the hybrid system which includes solar and wind has been chosen and installed. In the same area the sensors were included for sensing the pollution content. For monitoring a mobile app was developed for user purpose.