BREOS#
BREOS
Building Renewable Energy Optimization Software
A Python library for PV and battery energy-system simulation and optimization, designed for research and engineering applications.
Quick example#
pip install breos
import breos
app = breos.App({
"location": "porto",
"n_modules": 10,
"annual_consumption_kwh": 4000,
"battery_kwh": 5.0,
"cost_preset": "residential_pt",
"emissions_country": "PT",
})
app.simulate()
result = app.result()
print(f"Grid independence: {result['grid_independence_pct']:.1f}%")
print(f"Payback: {result['payback_year']} years")
print(f"NPV savings: {result['npv_savings_eur']:,.0f} EUR")
result is a plain JSON-serializable dict — no pandas types leak out.
Start with a task#
Verify the install, run a small PV + battery study, and inspect its headline results.
Choose the location, PV layout, battery, economics, emissions, and model options.
Use project weather, load profiles, component data, and financial assumptions.
Read the energy, financial, emissions, degradation, and provenance fields.
Browse the documentation#
Task-oriented guides for common systems, inputs, configuration, and troubleshooting.
Physical boundaries, model choices, data sources, and degradation methods.
The stable breos.App facade and lower-level functions organized by domain.
Status#
BREOS is pre-1.0 (beta), so the public API may change between minor releases.
The breos.App facade is the most stable surface to build on. Use the version
selector to read the docs matching your installation: stable follows the
latest published release, while latest follows active development. The
documentation describes implemented behavior rather than proposed designs.
Project direction#
The public roadmap shows release intent and larger capabilities under consideration. Detailed implementation plans, ADRs, and maintainer procedures live in the repository rather than on this user-documentation site.