Increasing greenhouse gases imposes severe concern over the environment since it results in rising dangerous calamities of climate change in the form of flood, cyclone, the rise of sea level, and so on. By promoting renewable power generation and electric vehicles, greenhouse gas emissions can be reduced to a very low level. But both the solutions have some major disadvantages like the intermittency of renewable sources is very high and also electric vehicles need to be charged after traveling a fixed distance. This paper mainly provides a remedy for these disadvantages. In this study, a grid-connected solar–wind hybrid system-based battery swapping charging station for the electric vehicle is designed, which includes an IIoT (Industrial Internet of Things)-enabled energy management system to efficiently utilize and control the flow of energy of different sources. This study includes a twenty-four-hour case study analysis on Meghalaya, India, by utilizing the real-time data of solar radiation and wind speed of January month to check the feasibility and power generation capacity. The results of this analysis simply indicate that the IIoT-enabled energy management system is efficiently managing the energy from different renewable energy sources in the proposed hybrid system for supplying the load and for storing a fixed amount of energy in the battery for electric vehicle charging which shows that the overall hybrid system is feasible, profitable, and environmentally friendly.
CITATION STYLE
Bhattacharjee, S., & Nandi, C. (2021). Design of an industrial internet of things-enabled energy management system of a grid-connected solar–wind hybrid system-based battery swapping charging station for electric vehicle. In Lecture Notes in Networks and Systems (Vol. 137, pp. 1–14). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-6198-6_1
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