This paper explores and integrates various sensors and Internet of Things technology within a park environment for the empowerment of environmental and weather monitoring, efficient lighting, security, and surveillance monitoring. This empowerment is incorporated with sensors to monitor things like air quality, temperature, water level, and even foot traffic to optimize the park’s functionality and enhance the visitor experience. Microprocessor-based Arduino, ESP32, and ESP8266 controllers are the key processing units of the sensor network. The Internet of Things technology enhances efficiency reduces costs, improves decision-making, and enhances the quality of life in the park. Visitors can use the collected data from cloud servers through the IoT platform. A mobile application often allows users to monitor the information passing by the IoT platform via the cloud. By building digital platforms into Smart Park, planning events and engaging with visitors becomes much easier in a secure environment. In addition, the design of Adventure Park focuses on developing environmental preservation with green technology like solar-powered lights and water conservation. This makes the park sustainable and sets an example for environmentally conscious urban development. The prototype model is created and provided for validation.
S. Umamaheswari, D. Harsha, T. Babu et al.· International Conference on...· 0 citations
The integration of variable photovoltaic and wind energy into renewable power systems has created a high demand for high-frequency converters that achieve low switching loss, reduced thermal stress, and stable output regulation. In the case of conventional hard-switching converters, turn-on and turn-off losses are significant at higher switching frequencies, resulting in electromagnetic interference (EMI) and device stress. The objective of this work is to devise a soft-switching power converter structure comprising photovoltaic and wind inputs together with resonant energy transfer, transformer isolation, output filtering and aggregation leveraging coordinated Pulse-Width Modulation (PWM) and frequency. Here, Zero Voltage Switching (ZVS) is attained for the primary switch and Zero Current Switching (ZCS) is reached for the auxiliary switch using a resonant inductor–capacitor network. The 5-kW converter operates from a nominal 300 V input, regulates to a 400 V output and switches at 100 kHz with resonant inductance of ${2 0}~{\mu} \mathrm{H}$ and resonant capacitance of 126 nF. Compared to conventional switching ($94.7\%$ and $93.8\%$, respectively), simulation results demonstrate peak efficiency of $97.3\%$ and rated-load efficiency of $97.0\%$. The result yields a switching loss of 126 W down to a final value of 38 W and a total estimated loss reducing from 297 W to a peak of 190 W in balance-of-systems loss metrics conducive for use in photovoltaic–wind hybrid generation systems, distributed renewable plants, battery interfaces, microgrids, and more effective grid-connected power conversion with enhanced thermal- and electromagnetic-response performance under variable renewable conditions across realistic operating ranges.
Muthukumar Paramasivan· International Conference on...· 0 citations
A detailed survey on the latest trends in AI based renewable energy integration, smart grid, EV, battery management systems, and real-time transportation data analytics is presented and important concerns regarding the edge system’s security, scale-ability, connectivity, privacy, and the direction of future research on enabling smart transportation were discussed.
Muthukumar Paramasivan, Manikandan Sivasubramanian, K. Alagar et al.· Proceedings of the Instituti...· 0 citations
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