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• W1017928130 abstract "This thesis is focused on various aspects concerning the Distributed Generation (DG) from Renewable Energy Sources (RES) and in particular from PhotoVoltaics (PV). The PV generation strongly depends on weather conditions (irradiance and temperature), therefore the solar irradiance forecast is very important for grid-connected PV systems. The PV power injected into the grid is concentrated during sunlight hours, in which the maximum peak load demand occurs and, as a consequence, an impact on the electrical system occurs. The task of the Transmission System Operator (TSO) is to ensure a constant balance between supply and consumption within the grid. Therefore, the presence of strong fluctuations of the solar radiation requires additional regulatory actions and compensation, through the use of short-term power backup, causing an increase in network costs. Thus, the solar irradiance forecast is necessary for an accurate evaluation of the PV power from PV systems, for the management of electrical grids in order to minimize the costs of energy imbalance and for the decisions concerning the energy market. This thesis essentially consists of two parts. In the first part, the profitability of investments in the rooftop grid-connected PV systems subjected to incentive and the grid-parity analysis in the two main European PV markets (Italy and Germany) are presented. In the second part, in order to minimize the costs of energy imbalance in the Italian electricity market, the comparison of irradiance and electric power predictions with respect to the experimental results of grid-connected PV systems is presented" @default.
• W1017928130 created "2016-06-24" @default.
• W1017928130 creator A5005118156 @default.
• W1017928130 date "2014-01-01" @default.
• W1017928130 modified "2023-09-23" @default.
• W1017928130 title "Economy of grid-connected photovoltaic systems and comparison of irradiance/electric power predictions vs. experimental results" @default.
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• W1017928130 doi "https://doi.org/10.6092/polito/porto/2538892" @default.
• W1017928130 hasPublicationYear "2014" @default.
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