fluxopt 0.0.1rc0

Energy system optimization with linopy — progressive modeling, from simple to complex.

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

from datetime import datetime, timedelta

import fluxopt as fx

timesteps = [datetime(2024, 1, 1) + timedelta(hours=i) for i in range(4)]

result = fx.optimize(
    timesteps=timesteps,
    buses=[fx.Bus('electricity')],
    effects=[fx.Effect('cost', is_objective=True)],
    ports=[
        fx.Port('grid', imports=[
            fx.Flow(bus='electricity', size=200, effects_per_flow_hour={'cost': 0.04}),
        ]),
        fx.Port('demand', exports=[
            fx.Flow(bus='electricity', size=100, fixed_relative_profile=[0.5, 0.8, 1.0, 0.6]),
        ]),
    ],
)

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