Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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Subject: search.filters.subject.Solar energy

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    Development of Powerhouse Using Fresnel lens
    (EDP Sciences edps@edpsciences.com, 2018) Al-Dohani, N.S.; Nayak, S.N.; Anarghya, A.; Abhishek, V.N.
    Solar energy is an alternative source of renewable energy. Sultanate of Oman government showed initiation on utilization of solar energy for domestic and industrial applications. Fresnel lens is one of the methods to collect maximum energy by gathering heat of the sun in the concentrated form (using solar collectors). Earlier research work discloses that Fresnel lens gave better result in terms of power output and produces lower heat loss as compared to linear -parabolic solar collectors. In this work, development of a proto Fresnel lens power house was made to generate electricity. The focused heat from Fresnel lens was used to heat the molten salt in a heat exchanger to produce the steam. The generated steam was used to rotate the steam engine coupled to a generator. In the current work, a maximum power of 30 W was produced. In addition, comparative study was carried out regarding solar salts and heat exchanger materials to understand the Fresnel powerhouse performance. Overall the present study gave valuable information regarding usage of Fresnel lens for electricity generation in Oman. © The Authors, published by EDP Sciences, 2018.
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    FPGA-Based Implementation of Backstepping Controller for Three-Phase Shunt Active Power Filter Interfacing Solar Photovoltaic System to Distribution Grid
    (Springer Science and Business Media Deutschland GmbH, 2021) Jayasankar, V.N.; Vinatha Urundady, U.
    The design and implementation of a controller for a solar photovoltaic system interfacing to the grid with shunt active power filter functionality are discussed in this paper. An inner harmonic current compensation loop and an outer dc voltage control loop constituted the control system. The inner loop is realized using a self-tuning filter (STF) based on instantaneous power theory, and the outer loop is realized using backstepping algorithm. The control algorithm is simulated under dynamic system conditions namely change in solar irradiation and change in load, in Matlab/Simulink environment. To ensure the effectiveness of the controller in mitigating the harmonic currents and interfacing solar PV system with distribution grid for real power exchange, the control algorithm is tested under steady-state and dynamic conditions and validated with the simulation results. The control algorithm is then implemented using a single all on-chip FPGA. Hardware co-simulation is carried out with the control system implemented in FPGA, and shunt active filter power circuit simulated in Matlab/Simulink. The hardware co-simulation results obtained are matching with the Matlab simulation results under dynamic system conditions and the controller design using FPGA is validated. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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    Renewable Power Integration for Electric Vehicle Charging System: A Review
    (Institute of Electrical and Electronics Engineers Inc., 2025) Nirala, P.K.; Barik, A.K.; Bhushan, R.; Jagtap, K.M.; Raushan, R.
    This review paper accentuates on the conceivable integration of renewable based generations to the charging stations of Electric Vehicles (EVs) towards restraining the carbon emissions. The intensifying global demand for EVs in recent days puts stress on conventional grid with existing infrastructure, which could be relaxed by integration of renewable based power generations with ecological balance. The importance and feasibility of renewable integrations to charge the EVs are reviewed in this paper and suitable applications are reported to develop charging infrastructures for EVs. The importance of vehicle to grid (V2G) concept is also reviewed to facilitate ancillary support to future grid integrated with renewables. © 2025 IEEE.
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    Enhancing High-Frequency PV Power Forecast Using Optimal Hyperparameter Setting in LSTM
    (Springer Science and Business Media Deutschland GmbH, 2025) Kumar, A.; Kashyap, Y.; Nasar, R.
    Solar energy plays a significant role in the world’s shift to renewable and sustainable energy. So, accurate forecasting techniques are essential for effective grid management and smooth integration into current energy infrastructures. Traditional solar forecasting approaches often encounter limitations in capturing the complex and nonlinear relationships inherent in solar power generation patterns. In response to these challenges, the present paper demonstrates the forecast analysis of high-frequency (HF) PV power components, which is obtained with the decomposition of actual PV power data. The focus of this paper is on the analysis of high-frequency PV power components as they exhibit high fluctuation. To capture this high fluctuation feature present in PV power, a moving average filter is applied to smooth the input data and potentially enhance the 60 min ahead forecasting performance using the long short-term memory (LSTM) model. The best-performing LSTM model has secured MAE= 1.114 % and RMSE = 2.608 % for 60 min ahead forecast. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.