fluxopt

Energy system optimization with linopy — detailed dispatch, scaled to multi period planning.

Early development — the API may change between releases.
Planned features and progress are tracked in Issues.

Installation

pip install fluxopt

Includes the HiGHS solver out of the box.

Quick Start

# A gas boiler covers a heat demand, minimizing fuel cost
from datetime import datetime
from fluxopt import Carrier, Converter, Effect, Flow, Port, optimize

result = optimize(
    timesteps=[datetime(2024, 1, 1, h) for h in range(4)],
    carriers=[Carrier('gas'), Carrier('heat')],
    effects=[Effect('cost')],
    ports=[
        Port('grid', imports=[
            Flow('gas', size=500, effects_per_flow_hour={'cost': 0.04})
        ]),
        Port('demand', exports=[
            Flow('heat', size=100, fixed_relative_profile=[0.4, 0.7, 0.5, 0.6])
        ])
    ],
    converters=[
        Converter.boiler(
            'boiler',
            thermal_efficiency=0.9,
            fuel_flow=Flow('gas', size=300),
            thermal_flow=Flow('heat', size=200)
        )
    ],
    objective_effects='cost',
)

print(f"Total cost: {result.objective:.2f}")
print(result.flow_rates)

Roadmap

fluxopt is evolving into a family of packages with a lean core and optional companions:

                          ┌──────────────┐
                          │   fluxopt    │  core: model building, solving, results, IO
                          └──────┬───────┘
        ┌──────────────┬─────────┼──────────────┬──────────────┐
        │              │         │              │              │
 fluxopt-plot   fluxopt-yaml  fluxopt-tsam  fluxopt-marimo  (examples)
   plotting      YAML+CSV    time series    interactive     cross-package
   (plotly)       loader     aggregation       apps          notebooks

Companion packages depend on core — core has no knowledge of companions.

Companion packages

Tight-pinned companions release on every fluxopt minor; validation is
automated via scheduled CI. fluxopt-tsam's pin policy is blocked on an
architectural decision — if representative-period primitives live in core, tsam stays
a thin adapter (loose pin); if they live in tsam, the package owns deep
round-trip behavior (tight pin).

Milestones

Cross-cutting work not tied to a single companion package:

Stability Tiers

Companion packages have their own stability policies — see the table above.

See #47 for the full architecture discussion.

Development

Requires uv and Python >= 3.12.

uv sync --group dev      # Install deps
uv run pytest -v         # Run tests
uv run ruff check .      # Lint
uv run ruff format .     # Format

License

MIT