Browsing by Author "Rao, N.R.N.V."

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    Design and Development of an IoT-Based Gas Monitoring System for Underground Coal Mines
    (Springer Science and Business Media Deutschland GmbH, 2023) Tripathi, A.K.; Mangalpady, M.; Rao, N.R.N.V.; Ray, S.
    Safety in underground coal mines is a major challenge whenever the mine comprises of toxic gases. The risk of the presence of gas influences the overall productivity of the mines, which is a subject of concern to the mining industry. Therefore, there is a need for real-time monitoring of underground mine environment, so that the miners can be safeguarded in case of presence of toxic gases. In this paper, an attempt was made to evolve and validate an Internet of Things (IoT)-based gas monitoring system for monitoring underground coal mines environment, which includes multiple sensors for real-time measurement of different gases. The developed IoT-based gas monitoring system was tested and validated in the laboratory, under the controlled environmental conditions, for the measurement of carbon dioxide (CO2), carbon monoxide (CO) and methane (CH4) gases. Further, the test results were compared with the readings obtained by the digital multi-gas detector, which confirmed that the developed real-time gas monitoring system yields a good result. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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    Development and Evaluation of Dust Cleaning System for a Solar PV Panel
    (University of Kuwait, 2022) Tripathi, A.K.; Mangalpady, M.; Ray, S.; Rao, N.R.N.V.; Vamshi Krishna, S.; Durgesh Nandan, D.
    The most promising application of solar energy is the conversion of solar energy into electrical energy by using solar photovoltaic (PV) panel. The performance of solar based PV panel is definitely influenced by the amount of solar radiation, which are reaching on the panel surface. Since the solar PV panels are operating in open atmosphere dust particles get deposited on their surfaces and most of the times they have to work in this condition. These deposited dust particles create a layer of dust particles over the panel surface which prevents the 100% penetration of solar radiation into the panel surface. Therefore, proper cleaning of the panel surface becomes very necessary. In order to improve the performance of the PV panel an automatic microcontroller driven dust cleaning technique is developed which is capable of removing the accumulated dust particles from the PV panel surface. Moreover, an experimental study has been performed to analyse the efficiency of this developed techn ique. The developed cleaning system showed an improvement of 27.98% in the output power of PV panel when compared to the dusty panel. © 2022 University of Kuwait. All rights reserved.