Renewable Generation
This dataset contains high-resolution solar and wind measurement data collected from the Feni region, Bangladesh, spanning from 2017 to 2019. Logged at a 1-minute interval, the dataset provides a comprehensive record of atmospheric and meteorological conditions, essential for renewable energy analysis, climatological studies, and resource assessment.
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Clean energy technologies, encompassing renewable resources like solar, wind, and hydropower, are essential in the global effort to reduce greenhouse gas emissions and combat climate change. As the globe prepares to transition away from fossil fuels, understanding the factors and parameters influencing the penetration of clean energy into existing energy markets has become a critical step. Controversies surrounding the environmental impacts of renewable technologies, variability in market structures, and economic pressures on clean energy companies can complicate this transition.
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PV Solar Power System Under Partial Shading Irradiance Conditions
Operation of a solar photovoltaic (PV) array connected to a variable DC source to plot the l-V and P-V characteristics under partial shading irradiance conditions.
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This dataset accounts for the cross-dependency between renewable generation and spot prices of 200 coupled scenarios for the three-dimensional time series comprising the spot prices, wind generation, and solar generation for every hour. To do that, we used the commercial hydrothermal dispatch model SDDP (from PSR Consulting) to simulate Brazilian spot prices based on the scenarios for the main renewable spots of the Brazilian system. We selected the year 2025 as the target year for the contracting horizon.
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