Rustem

Nizamov

My current research focuses on the spatial-temporal profitability analysis of photovoltaic systems across Nordic bidding zones. I develop and maintain a comprehensive simulation pipeline consisting of two primary engines:

1. AC Generation Engine: Integrates satellite-based weather data (SARAH-3, ERA5) and Copernicus albedo datasets with pvlib to model energy production for monofacial and bifacial configurations across thousands of geographic coordinates.
2. Financial Engineering Engine: Analyzes real-time and historical electricity spot prices (ENTSO-E) to compute key economic indicators, including Net Present Value (NPV), Internal Rate of Return (IRR), and self-consumption rates.
   

A central theme of my work is the development of automated, parallelized data pipelines for large-scale geographic simulations. This includes the implementation of Voronoi-based spatial visualizations (interactive maps) and longitudinal trend analysis to identify optimal PV configurations in varying market conditions and high-latitude climates.