This dataset aggregates photovoltaic generation potential to monthly and annual totals for each building, providing the energy budget metrics most directly applicable to economic feasibility analysis and renewable energy target setting.
The dataset delivers cumulative PV output (kWh) for 12 months plus annual totals across approximately 16,000 buildings, incorporating panel performance characteristics and temperature efficiency adjustments. These values represent the total energy that could be generated under standard mid-performance panel specifications, accounting for maximum feasible panel placement on each rooftop.
Monthly cumulation serves economic and policy applications: calculating annual revenue under feed-in tariffs, estimating return on investment timelines, assessing progress toward municipal renewable energy goals, and comparing seasonal capacity factors across building types. The dataset enables rapid screening of high-potential properties and portfolio-level solar capacity assessment.
Key users include energy consultants conducting pre-feasibility studies, local government officers tracking climate action plan progress, and commercial property managers evaluating solar investment across multiple buildings. Financial analysts can use annual totals for cash flow projections, while urban planners can aggregate values to understand district or city-wide renewable generation potential.
Values assume optimal panel specifications and placement. For custom panel types, users should apply efficiency ratios to the irradiance datasets. For sub-monthly temporal analysis (grid integration, demand matching), reference the hourly dataset.
Comprehensive technical documentation, including data dictionary, usage examples, and processing methodology, is available in here; software stack details and calculation workflows are documented in here.