Research-grade optimisation, without building the model stack.

Sympheny was built inside a research institution before it was a product, and it shows: deterministic MILP on the Gurobi solver, methods published in Applied Energy, every result traceable to its equations. For groups working on Indian campus energy, district cooling or green hydrogen systems, it removes the model-plumbing phase and leaves the research.

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Sympheny Pareto Front chart plotting life-cycle cost against CO₂ emissions, each point an optimised scenario from the same project

Pareto front of optimised scenarios. Every point a provably optimal solution, traceable to its inputs.

RESEARCH LINEAGE AND PUBLIC PROJECTS

Built in the ETH Domain, used by research institutions

Spun out of Empa in the ETH Domain, with peer-reviewed methods and live research collaborations. The Empa campus itself runs on concepts modelled in Sympheny.

EmpaEWB (City of Bern)Ville d'Yverdon-les-BainsIBC Chur

How Sympheny helps

Published methods, not a black box

The optimisation engine implements multi-scale MILP methods published in peer-reviewed journals, including Marquant et al. in Applied Energy. Results are deterministic and auditable, which is what a reviewer, or an examiner, expects.

Multi-energy where familiar tools stop

Many groups teach with desktop microgrid tools that handle electricity well and everything else awkwardly. Sympheny models power, cooling, heat, hydrogen and storage in one hub formulation, at hourly resolution, from a single building to a city.

From coursework to campus living lab

Students model real systems through a browser instead of debugging solver bindings. Institutes can model their own campus as a living lab, the way Empa modelled its 26-building, 12-hub campus toward its climate target.

What changes for research and teaching

Starting a project
Before
Months of model-building in Python or GAMS before the research question is touched
After
A running multi-energy MILP model in days, with the methods documented and citable
Teaching
Before
Single-carrier microgrid exercises bounded by what desktop tools can hold
After
Sector-coupled systems with real GIS context, run by students in a browser
Collaboration with industry
Before
Academic models that practitioners can't open, and vice versa
After
One platform both sides can use, which makes joint projects with consultants and utilities practical
Campus decarbonisation
Before
The institute's own energy strategy outsourced or left as a report on a shelf
After
The campus as a living lab, modelled and re-run by your own researchers

Ask us about the education and research programme.

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