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RoofteX — Rooftop Solar eXchange

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A Python library for rooftop solar potential assessment, adoption dynamics modeling, and stochastic availability profile generation.

Features

  • Rooftop Potential: Estimate maximum rooftop PV capacity from population and dwelling data
  • Adoption Dynamics: S-curve adoption modeling with urbanization and scenario parameters
  • Profile Generation: Stochastic hourly solar profiles with cloud patterns and weather variability
  • Cost Learning Curve: Technology cost projection with degradation and learning rates

Installation

pip install rooftex

Quick Start

from rooftex import RooftopConfig, generate_profiles, calculate_potential

# Estimate potential from population
potential = calculate_potential(population=[50000, 30000, 80000])

# Generate hourly availability profiles
config = RooftopConfig(
    num_nodes=3,
    hours=8760,
    adoption_scenario="medium",
    target_year=2040,
)
result = generate_profiles(config)
print(result.availability.shape)      # (8760, 3)
print(result.adoption_factors.mean())  # ~0.3

License

MIT