研究目的
To develop a simple but accurate model for evaluating the performance of large-scale off-grid photovoltaic pumping systems (PVPS) with single-axis solar tracking and variable frequency drive control, and to validate it using an actual installation.
研究成果
The developed PVPS model is accurate and useful for feasibility studies, showing good agreement with measured data after corrections. Economic analysis indicates a 10-year payback period and significant cost savings compared to grid-connected systems, demonstrating the viability of large-scale off-grid PVPS for water pumping.
研究不足
The model does not account for shadowing effects, has simplified efficiency assumptions (e.g., constant AFD efficiency), and uses average weather data, which may not capture all real-world variations. Future work could include higher resolution data, battery storage, and more detailed component modeling.
1：Experimental Design and Method Selection:
The model consists of two parts: a constant parameters module for fixed inputs and a variable parameters module for time-dependent calculations. It integrates solar, electrical, and hydraulic components using theoretical models such as the 4-parameter single-diode model for PV panels and Darcy-Weisbach equation for hydraulic losses.
2：Sample Selection and Data Sources:
The model is validated using data from the Campotéjar PVPS installation in Murcia, Spain, with minute-by-minute recordings of ambient temperature, solar irradiation, power outputs, operational frequencies, and water flow.
3：List of Experimental Equipment and Materials:
Includes PV panels (310 Wp polycrystalline), solar trackers, adjustable frequency drives (AFDs), induction motors, centrifugal pumps, and a water pipeline. Specific models and brands are not detailed beyond general descriptions.
4：Experimental Procedures and Operational Workflow:
Input geographic data, weather conditions, and component parameters; calculate solar irradiation, PV power output, determine pump operation based on power thresholds, and compute water flow. Validation involves comparing simulated results with measured data.
5：Data Analysis Methods:
Use quadratic approximations for pump characteristics, efficiency corrections (e.g., 90% for AFDs, 6% reduction for motor efficiency), and economic analysis with CAPEX, OPEX, and cost comparisons.
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