Case studies / Engineering Consultant / Upper Valais, Switzerland

Lauber IWISA

Residential energy concept for a new housing quarter

Three supply variants for a 12,000 m² residential quartier — and the one that wins on autarky.

Air-source HPs, groundwater HPs and biomass compared on cost, CO₂ and autarky for a new 16-building Swiss residential quartier.

12,000 m²
Heated quartier area
16 buildings
10 multi-family + 6 single-family
3 variants
Pareto-optimised side by side
Customer
Lauber IWISA
Sector
Engineering Consultant
Location
Upper Valais, Switzerland
Project type
Residential quarter
CO₂
Pareto compared across 3 variants
Tools
Sympheny · MILP optimisation · Three-variant comparison · Autarky analysis
Project snapshot
Goal

Recommend an energy supply concept for a new 16-home residential quarter using clear cost, CO2, and self-sufficiency evidence.

Sympheny's role

Compared three supply concepts on the same demand and site model, including cost-optimal and CO2-optimal options.

Result

Groundwater heat pumps emerged as the strongest overall option, with trade-offs clear enough to defend to the client.

The challenge

Lauber IWISA, a building-services firm in the Upper Valais, partnered with Sympheny, the Leipzig University of Applied Sciences and author Simon Bach to plan the energy supply for a new Swiss residential quartier — ten multi-family and six single-family houses, roughly 12,000 m² of heated area. Against the backdrop of supply concerns, rising energy prices, and the 2050 net-zero target, the project had to determine annual costs, annual CO₂-equivalent emissions, and degree of autarky for several supply options.

The hard part was matching parameters to model structure. Many input variables shape the outcome, and the quartier had a wide menu of plausible supply concepts — central versus decentralised, electric versus combustion, single-source versus sector-coupled. Selecting parameters for sources, storage and conversion technologies in a way that produced credible, comparable results was a non-trivial modelling task.

How Sympheny was used

The team used Sympheny to model the entire quartier and let the system optimisation surface the lowest-cost and lowest-CO₂ options across three explicit variants: Variant 1 — decentralised air-source heat pumps in every building; Variant 2 — central groundwater extraction with a distribution network and decentralised groundwater heat pumps; Variant 3 — a central biomass combustion plant feeding a district heating network with house transfer stations. Less common technologies — hydrogen, electrolysers, wastewater as a heat-pump source — were also screened, with hydrogen ruled out on cost grounds.

  • Whole-quartier optimisation — Modelled all 16 buildings as a single system rather than a series of standalone calculations, so central infrastructure costs were sized against shared demand.
  • Technology-open candidate set — Evaluated air, groundwater and biomass alongside less common options like hydrogen and wastewater heat — letting the algorithm rather than convention pick what survives.
  • Three-way trade-off view — Reported each variant on cost, CO₂-equivalent and autarky together, so the engineering choice could be made on all three criteria — not cost alone.

Result

On annual costs and CO₂-equivalent, the two heat-pump variants differ only slightly: the higher capex of groundwater heat pumps is offset over time by lower electricity costs versus air-source. The biomass variant — wood-chip combustion, which beats pellet combustion on both cost and CO₂ — has the lowest annual costs of the three.

Autarky is what changes the recommendation. Variant 3 (biomass) has clearly lower autarky than the heat-pump options, which means its annual costs depend heavily on future wood-chip prices. Once cost, CO₂-equivalent and autarky are weighed together, the central groundwater heat pump comes out ahead: slightly higher annual costs, but the highest autarky of the three and the least exposure to imported energy-carrier prices. The Sympheny model is what made the three-way comparison practical — the algorithm returned the lowest-cost and lowest-CO₂ solutions for each variant directly.

Pareto chart for all three variants plotting CO₂ equivalent in tonnes per year against cost in kCHF per year for Variant 1 air-source heat pump, Variant 2 groundwater heat pump, and Variant 3 biomass.

Pareto-optimal solutions for the three supply variants. Biomass (grey) is the cheapest on annual costs, but lower on autarky; the groundwater variant wins once autarky is factored in.

Result

Once cost, CO₂-equivalent and autarky are weighed together, the central groundwater heat pump variant wins: slightly higher annual costs than biomass, but the highest autarky of the three and the least exposure to imported energy-carrier prices.

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