RoofteX — Rooftop Solar eXchange
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
1 maintainer
Metadata
1 maintainer
Release files for rooftex 0.1.2
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