The project focuses on identifying the impact of shading on PV string performance and its influence on DC power output, proposing strategies for improving energy yield assessments and reducing shading losses.

Key Objectives

1. Analyze the underperformance of PV strings due to shading using LiDAR technology.
2. Model shading profiles and compare simulated results with actual data from a PV system in the TYREE Energy Technology Building, UNSW.
3. Develop a comprehensive shading impact analysis using ArcGIS tools and Python-based modeling for accurate performance predictions.

Methodology

1. LiDAR Data Processing:
   • Preprocessing to clean point cloud data and generate 3D models of buildings.
   • Developing Digital Surface Models (DSM) and Digital Terrain Models (DTM) for shading estimation.
2. Shading Analysis with GIS:
   • Hillshade Analysis and Sunpath tools were used to simulate shading impact across various times of the year.
   • Overlapping the shading profile with PV panel polygons helped identify specific PV strings affected by shading.
3. Modeling Power Output in Python (PVLIB):
   • Simulated DC power output using clear-sky and weather data.
   • Analyzed the reduction in DC current and voltage due to shading and compared it with real-time inverter data.

Results

• The shading factor modeled from LiDAR data closely correlated with actual shading patterns and corresponding reductions in DC power.
• Increased shading resulted in significant power output reduction, with clear evidence of lower DC current and voltage.
• The results demonstrated how accurate shading prediction can improve energy yield assessments and help optimize PV system layout.

Conclusion and Future Directions

• Accurate shading estimation allows for better placement and orientation of PV panels, reducing energy losses.
• Future work will focus on integrating real-time monitoring systems and predictive analytics to dynamically adjust PV operational parameters for improved performance.
• Strategies like regular trimming of obstacles and optimal panel layout can significantly mitigate shading-related losses.