研究目的
To develop a methodology and a numerical model for sizing photovoltaic (PV) arrays for grid-connected power consumers, focusing on the PV contribution to the power demand and a newly defined transfer factor to reduce power transfers between a local power system and the electric grid.
研究成果
The knowledge-based model for sizing grid-connected PV arrays provides a visual tool for decision making when sizing PV arrays, focusing on the PV contribution to the demand and the power transfers with the electric grid. The study indicates that the sizing of PV systems cannot be done in terms of daily energy requirements alone, as two power demands with equal energy needs can have very different optimum PV capacities.
研究不足
The model does not account for cloud-covered days or days characterized by strong irradiance variations on the ground due to passing clouds. The study focuses on clear atmospheric conditions.
1:Experimental Design and Method Selection:
The study implemented a knowledge-based approach founded on a model of a renewable energy system where the solar resource and the PV modules were modeled in detail. The model used small time step calculations and focused on the site-specific interaction between the solar resource and the power demand.
2:Sample Selection and Data Sources:
Simulations were carried out for one characteristic day of every month, representing the respective month in terms of duration and intensity of the incoming solar irradiance. The latitude was set to 40°N, and the PV modules were oriented facing the equator with a plane tilt equal to the latitude.
3:List of Experimental Equipment and Materials:
The characteristics of a commercial 165 W PV module (Sharp NE-165U1) were introduced into the PV output model. Two daily power demands representing a household and a very small factory or store were used.
4:Experimental Procedures and Operational Workflow:
A complete simulation tool was developed in Matlab/Simulink. All simulations were carried out with a sampling period of 10 min. The model calculated the PV array power output, the PV contribution to the power demand, and the transfer factor.
5:Data Analysis Methods:
The PV sizing diagrams were analyzed to illustrate how the PV capacity affects the PV contribution to the demand and the power trades with the grid.
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