Case studies / Real Estate / Gossau, Switzerland

Gossau Commercial Park

Net-zero commercial park — 75% CO₂ reduction

75% CO₂ reduction. 20% lower lifecycle cost. A commercial park that outperforms its baseline on every dimension.

A net-zero commercial site at 20% lower lifecycle cost than the conventional reference design.

75%
CO₂ reduction
20%
Lifecycle cost saving
Commercial park
Site type
Customer
Gossau Commercial Park
Sector
Real Estate
Location
Gossau, Switzerland
Project type
Commercial site net-zero design
CO₂
−75%
Cost
−20% lifecycle cost vs reference
Tools
Sympheny · MILP optimisation · Reference-to-target comparison · Pareto comparison

Photo: Stadt Gossau / stadtgossau.ch

Project snapshot
Goal

Design a net-zero energy concept for a commercial park in Gossau, Switzerland, meeting decarbonisation targets without increasing lifecycle costs.

Sympheny's role

Full multi-energy system optimisation — modelling heating, cooling, electricity, and storage configurations across the site.

Result

75% CO₂ reduction and 20% lower lifecycle cost vs. the reference design identified. The result demonstrates that decarbonisation does not require a cost premium when the full energy system is optimised together.

The challenge

Design a net-zero energy concept for a commercial park in Gossau, Switzerland, meeting decarbonisation targets without increasing lifecycle costs.

Commercial sites typically face a trade-off: decarbonisation pathways that hit aggressive CO₂ targets often raise lifecycle costs compared with a conventional reference design. The Gossau team needed to test whether a fully optimised multi-energy concept could break that trade-off — delivering significant emissions reductions and a lower total cost of ownership.

How Sympheny was used

Sympheny was used to model the full commercial site energy system end-to-end — heating, cooling, electricity, and storage configurations evaluated together rather than as separate calculations. Reference and net-zero variants were optimised on the same underlying demand, technology, and tariff data, so the cost and CO₂ comparison was apples-to-apples.

  • Whole-site multi-energy optimisation — Modelled heating, cooling, electricity, and storage as one connected system — letting the optimisation algorithm exploit sector coupling across the whole site.
  • Reference-to-target comparison — Optimised both the conventional reference design and the net-zero target design on the same demand and tariff assumptions — making the 75% CO₂ and 20% cost figures directly comparable.
  • Cost and CO₂ together, not in sequence — Trade-offs between life-cycle cost and emissions surfaced in one Pareto comparison — so the recommendation reflects the full system, not a series of point estimates.

Result

75% CO₂ reduction and 20% lower lifecycle cost vs. the reference design identified. The result demonstrates that decarbonisation does not require a cost premium when the full energy system is optimised together.

The configuration arrived at by the optimisation pairs the right mix of on-site generation, conversion, and storage at the right capacities — sized against real hourly demand on the site rather than rules of thumb. The same model can be re-run as tariff and technology assumptions evolve, so the decision-grade evidence stays current.

Result

75% CO₂ reduction and 20% lower lifecycle cost vs. the conventional reference design — demonstrating that decarbonisation does not require a cost premium when the full energy system is optimised together.

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