Power and Energy
The dielectric spectroscopy data was obtained to characterize the dielectric responses and calculate the dielectric loss in the FEM model. The complex dielectric permittivity was measured with the Novocontrol Concept 80 broadband dielectric spectrometer. Silver electrode with a diameter of 30 mm was prepared on both sides of the sample by sputtering. The temperature range in this experiment was from -30 to 150 °C with an interval of 10 °C. The frequency range was from 1 Hz to 1 MHz.
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Most present wireless power transfer (WPT) systems are designed for 400-V EVs and its compatibility for a higher battery pack voltage is barely studied. To adapt for different WPT charging scenarios, this paper proposes a resonant inductor integrated-transformer (RIIT) based receiver. The design guideline, power losses, and power transfer capacity of the proposed system are presented. The proposed receiver is compact, low-cost, reliable, easy-to-implement, and compatible for WPT systems with different battery pack voltages without any significant change of system parameters.
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This dataset contains the hourly system marginal price (SMP) of South Korea and daily fuel prices (WTI, Henry Hub, Brent, NBP) data from 2002 to 2020, and the oil price scenarios from 2019 to 2050 are also attached.
The dataset is for the letter entitled: "Fuel Price Based Long-Term Hourly System Marginal Price Scenario Generation".
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This paper proposes methods of predicting and preventing thermal failure within high-power ferrite structures of electric vehicle (EV) wireless charging inductive power transfer (IPT) by improving their ferrite layouts. A high-power IPT magnetic design suitable for wirelessly charging an EV at 50 kW using a heuristic approach is presented where the chosen design achieves reduced heating within the magnetic structure. Recommendations are made that both avoid ferrite fracturing due to magnetic hotspots and cause temperature differentials across ferrite tiles, and regarding airgap distribution
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The proliferation of phasor measurement units, albeit transformative to grid operations, increases the risk of cyber threats in power systems. One consequence of these cyber threats is incorrect operator actions based on misleading data. While a single wrong operator action might not result in a widespread blackout, a series of actions on critical lines and transformers, combined with pre-existing faults or scheduled maintenance, might. Traditionally, controlled islanding prevents cascading failures. However, it is only effective when the received measurements are trustworthy.
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This dataset is in support of my research paper '9-DoF Personal Robot Servant'.
Preprint :
On this robot servant, my first work was done in the year 2011.
Image Source: https://www.dreamstime.com/robot-tray-d-rendering-mini-holding-serving-i...
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We present photographs of inspections of the electrical power network (13.8 kV) carried out in southern Brazil. The inspections were performed close to the city of Blumenau by researchers from the high voltage laboratory, Regional University of Blumenau (FURB).
240 photographs of the electrical power network are presented:
120 are of damaged structures and/or components.
120 are in normal conditions.
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This dataset is used to design patent. The system is basic , as can be seen from figure.
There is related dataset- Data: 255W Panel Connected 72Ah Li-Ion.
This new datasets are needed to show that I know how to make simulation and the dataset of 'Data: 255W Panel Connected 72Ah Li-Ion' is not fake.
The boost converter, BMS is on existing designs.It is very simple for any graduate,degree holder or school students, so no paper is written for it.
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