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EN
The integration of the internet of things (IoT) and cyber physical network into the battery charging station system is critical to the success and long-term viability of the vehicle to grid (V2G) trend for future automobiles in terms of environmental and energy sustainability. The goal of this article is to create a V2G battery charging station concept using the internet of things (IoT) and a cyber physical network system. The V2G charging station concept was developed with the idea that every charging electric vehicle (EV) can communicate and coordinate with the charging station's control center, which includes a cyber physical system that addresses privacy and security concerns. The communication protocol must also be considered by the charging station. The preliminary test has been taken into consideration. Normal hours (for case one), peak hours (for case two), and valley hours (for case three), respectively, were created as charging circumstances for EVs at charging stations. Simulations were run for each of the three case scenarios. Each EV's battery state of charge (SoC) is provided a 50 percent initial charge and user-defined SoC restrictions. The MATLAB/SIMULINK platform was used to run the case simulations. The grid frequency, charging station output power, and the EV's battery SoC were all observed during the 24- hour simulation. As a result, the developed V2G charging station concept can regulate its input and output power depending on the battery status of the EVs inside the charging station, as well as provide frequency regulation service to the grid while meeting the energy demand of EV customers.
EN
The pollution of rivers from human activities such as housing, markets, workshops, transportation, land cultivation, and industry has become an issue. The increasing contribution of heavy metals to pollution in rivers has a direct effect on the metal bioaccumulation in fish. Therefore, this study aimed to examine the concentrations of Cd, Cu, and Pb in the waters, sediment, and fish harvested from the Krueng Sabee River, Aceh Province, Indonesia. Furthermore, the water, sediment, and fish samples were collected from six locations representing the upstream and downstream regions of the river. Cd, Cu, and Pb were analyzed using Atomic Absorption Spectrophotometry (AAS). The results showed that Cd, Cu, and Pb were not detected in the water, while the concentration of Cd in the sediments ranges between 0.0544 to 0.2683 mg kg-1, Cu ranges between 4.4149 to 14.8160 mg kg-1, and Pb ranges between 0.9186–15.4954 mg kg-1. Therefore, Cd, Cu, and Pb in the water and sediment were below the quality standard, but these heavy metals in the fish sample met the threshold limit. The highest Cd concentration was reported in Tor soro (5.5591 mg kg-1), and the highest concentration of Cu was reported in Mugil cephalus (6.7021 mg kg-1), while the higher Pb concentration was reported in Cyclocheilichthys Apogon (0.0279 mg kg-1).
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