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Journal articles on the topic 'PHOTO VOLTAIC EMULATOR'

Author: Grafiati
Published: 11 September 2023
Last updated: 31 July 2025

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1

Sudhakar Babu, T., S. Mohammed Azharuddin, B. Nishant, and N. Rajasekar. "A dynamic photo voltaic emulator using dSPACE controller with high accuracy solar photo voltaic characteristics." Journal of Renewable and Sustainable Energy 8, no. 1 (2016): 015503. http://dx.doi.org/10.1063/1.4940414.

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2

Iqbal, Mohammad Tauquir, and Mohd Tariq. "Modeling, Analysis and Control of Different DC-DC Converter Topologies for Photo Voltaic Emulator." International Journal of Applied Power Engineering (IJAPE) 6, no. 1 (2017): 45. http://dx.doi.org/10.11591/ijape.v6.i1.pp45-54.

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This paper presents the modeling, analysis and control of different DC-DC converter topologies to emulate the photovoltaic (PV) system. A PV emulator is basically a DC-DC converter having same electrical characteristics that of solar PV panel. The emulator helps to achieve real characteristics of PV system in a better way in an environment where using actual PV systems can produce inconsistent results due to variation in weather conditions. The paper describes different types of DC-DC converters like buck, Resonant and Quasi Resonant Converter. The complete system is modelled in MATLAB® Simuli
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Iqbal, Mohammad Tauquir, and Mohd Tariq. "Modeling, Analysis and Control of Different DC-DC Converter Topologies for Photo Voltaic Emulator." International Journal of Applied Power Engineering (IJAPE) 6, no. 1 (2017): 46. http://dx.doi.org/10.11591/ijape.v6.i1.pp46-55.

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This paper presents the modeling, analysis and control of different DC-DC converter topologies to emulate the photovoltaic (PV) system. A PV emulator is basically a DC-DC converter having same electrical characteristics that of solar PV panel. The emulator helps to achieve real characteristics of PV system in a better way in an environment where using actual PV systems can produce inconsistent results due to variation in weather conditions. The paper describes different types of DC-DC converters like buck, Resonant and Quasi Resonant Converter. The complete system is modelled in MATLAB<sup&
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4

Ullah, Nasim, Faisal Nisar, and Ahmad Aziz Alahmadi. "Closed Loop Control of Photo Voltaic Emulator Using Fractional Calculus." IEEE Access 8 (2020): 28880–87. http://dx.doi.org/10.1109/access.2020.2971676.

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5

S. Abdullah, Fawaz, Safwan A. Hamoodi, and Ali N. Hamoodi. "Modeling of electrical characteristics of photo voltaic and effecting of cell parameters on V-I curve." International Journal of Engineering & Technology 7, no. 2.13 (2018): 276. http://dx.doi.org/10.14419/ijet.v7i2.13.12680.

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Studding of PV systems in an active way needs accurate information of the power and voltage P-V current and voltage I-V characteristic curves of solar PV order. Therefore, this paper shows emulation of solar PV model utilizes Matlab/Simulink and practical results. This PV model depends on math’s equation and is explained during an equivalent circuit involving a photo current source, diode, shunt resistor and series resistor representing leakage current and series resistor expressing the inside losses because of the current flow. The advanced model let the prognosis of PV array manner under var
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6

Isha, M. Shirbhate, and S. Barve Sunita. "Solar panel monitoring and energy prediction for smart solar system." International Journal of Advances in Applied Sciences (IJAAS) 8, no. 2 (2019): 136–42. https://doi.org/10.11591/ijaas.v8.i2.pp136-142.

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Solar Energy is established as an alternative source of energy known as renewable energy. In a developing country like India, the perspective of Solar Energy is important, as it supports a limitless source of energy. Monitoring and prediction of photo-voltaic energy generation help to reduce the energy loss and empower to utilize more energy. Solar energy prediction is challenging as it depends on the fluctuating solar radiations and climate conditions. The problem statement is to monitor solar panels and predict energy generation for energy management procedure. In this paper, the Internet of
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Shirbhate, Isha M., and Sunita S. Barve. "Solar panel monitoring and energy prediction for smart solar system." International Journal of Advances in Applied Sciences 8, no. 2 (2019): 136. http://dx.doi.org/10.11591/ijaas.v8.i2.pp136-142.

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<p>Solar Energy is established as an alternative source of energy known as renewable energy. In a developing country like India, the perspective of Solar Energy is important, as it supports a limitless source of energy. Monitoring and prediction of photo-voltaic energy generation help to reduce the energy loss and empower to utilize more energy. Solar energy prediction is challenging as it depends on the fluctuating solar radiations and climate conditions. The problem statement is to monitor solar panels and predict energy generation for energy management procedure. In this paper, the In
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8

Mejía-Giraldo, Diego, Gregorio Velásquez-Gomez, Nicolás Muñoz-Galeano, Juan Cano-Quintero, and Santiago Lemos-Cano. "A BESS Sizing Strategy for Primary Frequency Regulation Support of Solar Photovoltaic Plants." Energies 12, no. 2 (2019): 317. http://dx.doi.org/10.3390/en12020317.

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This paper proposes a strategy for sizing a battery energy storage system (BESS) that supports primary frequency regulation (PFR) service of solar photo-voltaic plants. The strategy is composed of an optimization model and a performance assessment algorithm. The optimization model includes not only investment costs, but also a novel penalty function depending on the state of charge (SoC). This function avoids the existence of a potential inappropriate SoCtrajectory during BESS operation that could impede the supply of PFR service. The performance assessment algorithm, fed by the optimization m
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9

Tauquir Iqbal, Mohammad, and Mohd Tariq. "Modeling, Analysis and Control of Different DC-DC Converter Topologies for Photo Voltaic Emulator." Transactions on Environment and Electrical Engineering 1, no. 2 (2016). http://dx.doi.org/10.22149/teee.v1i2.12.

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10

Leng, Kangmin, Yu Wan, Xin Wang, Li Wang, Yao Fu, and Qisheng Wang. "Ion Intercalation‐Enabled Reconfigurable Photodetector with Low Programming Voltage and Broadband Response Based on Van Der Waals Tin Disulfide." Small, December 29, 2024. https://doi.org/10.1002/smll.202408545.

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AbstractArtificial neural networks with integrated sensing and computing capabilities, leveraging reconfigurable optoelectronics, can effectively emulate biological neural networks, thereby enabling rapid and efficient information processing. However, realizing reconfigurable photoresponsivity is often blocked by the requirement for high programming voltages and the limits of the detection spectrum range. This greatly restricts the progress of energy‐efficient and precise neuromorphic vision sensing. Herein, a reconfigurable photodetector with low programming voltage and broadband response is
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11

Liu, Xiao, Ming Huang, Xiongfeng Zou, et al. "Alcohol‐sensitive MoS2 optoelectronic synapses for mimicking human‐like visual adaptation." InfoMat, April 15, 2025. https://doi.org/10.1002/inf2.70019.

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AbstractThe rapid advancements in humanoid robotics and autonomous driving demand smart artificial optoelectronic vision systems that can emulate human‐like perception. Although many studies have reported multi‐functional visual chips based on artificial optoelectronic synaptic devices, few can simulate complex behavioral characteristics of humans, like specific living habits and physiological adaptations. In this study, we demonstrated MoS2 optoelectronic synapses capable of exhibiting tunable human‐like visual adaptation abilities under various alcohol concentrations, featuring remarkable ph
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12

Tsai, Cheng‐Hang, Wei‐Cheng Chen, Yan‐Cheng Lin, et al. "Ultralow‐Energy‐Consumption Photosynaptic Transistor Utilizing Conjugated Polymers/Perovskite Quantum Dots Nanocomposites With Ligand Density Optimization." Small, August 12, 2024. http://dx.doi.org/10.1002/smll.202402567.

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AbstractThe photosynaptic transistor stands as a promising contender for overcoming the von Neumann bottleneck in the realm of photo‐communication. In this context, photonic synaptic transistors is developed through a straightforward solution process, employing an organic semiconducting polymer with pendant‐naphthalene‐containing side chains (PDPPNA) in combination with ligand‐density‐engineered CsPbBr3 perovskite quantum dots (PQDs). This fabrication approach allows the devices to emulate fundamental synaptic behaviors, encompassing excitatory postsynaptic current, paired‐pulse facilitation,
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13

Islam, Molla Manjurul, Durjoy Dev, Adithi Krishnaprasad, Laurene Tetard, and Tania Roy. "Optoelectronic synapse using monolayer MoS2 field effect transistors." Scientific Reports 10, no. 1 (2020). http://dx.doi.org/10.1038/s41598-020-78767-4.

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AbstractOptical data sensing, processing and visual memory are fundamental requirements for artificial intelligence and robotics with autonomous navigation. Traditionally, imaging has been kept separate from the pattern recognition circuitry. Optoelectronic synapses hold the special potential of integrating these two fields into a single layer, where a single device can record optical data, convert it into a conductance state and store it for learning and pattern recognition, similar to the optic nerve in human eye. In this work, the trapping and de-trapping of photogenerated carriers in the M
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14

Vyšniauskas, Juozas, and Eugenijus Gaubas. "Simulation of dynamic characteristics of GaN p-i-n avalanche diode operating as particle detector with internal gain." Lithuanian Journal of Physics 58, no. 2 (2018). http://dx.doi.org/10.3952/physics.v58i2.3747.

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An evolution of the transient characteristics of the GaN p-i-n diodes, operating in the avalanche mode and acting as particle sensors, has been simulated by using the Synopsys TCAD Sentaurus software package and the drift-diffusion approach. Profiling of the charge generation, recombination and drift-diffusion processes has been performed over a nanosecond time-scale with a precision of a few picoseconds and emulated through the photo-excitation of an excess carrier domain at different locations of the active volume of a diode. Shockley–Read–Hall (SRH), Auger and radiative recombination proces
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15

Remigy, Alice, Belkacem Menacer, Konstantinos Kourtzanidis, et al. "Absolute atomic nitrogen density spatial mapping in three MHCD configurations." Plasma Sources Science and Technology, January 25, 2024. http://dx.doi.org/10.1088/1361-6595/ad227b.

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Abstract In this work, nanosecond Two-photon Absorption Laser Induced Fluorescence is used to perform spatial mappings of the absolute density of nitrogen atoms generated in a micro-hollow cathode discharge (MHCD). The MHCD is operated in the normal regime, with a DC discharge current of 1.6 mA and a plasma is ignited in a 20% Ar/ 80% N2 gas mixture. A 1-inch diameter aluminum substrate acting as a third electrode (second anode) is placed further away from the MHCD to emulate a deposition substrate. The spatial profile of the N atoms is measured in three MHCD configurations. First, we study a
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