Fallstudien / 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
Kunde
Lauber IWISA
Sektor
Engineering Consultant
Standort
Upper Valais, Switzerland
Projekttyp
Residential quarter
Variants
3 variants compared on cost, CO₂ and autarky
Werkzeuge
Sympheny · MILP optimisation · Three-variant comparison · Autarky analysis
Projektüberblick
Ziel

Ein Energieversorgungskonzept für ein neues Wohnquartier mit 16 Wohneinheiten empfehlen, gestützt auf klare Belege zu Kosten, CO2 und Autarkie.

Rolle von Sympheny

Drei Versorgungskonzepte auf demselben Nachfrage- und Standortmodell verglichen, inklusive kostenoptimaler und CO2-optimaler Varianten.

Ergebnis

Grundwasser-Wärmepumpen erwiesen sich als insgesamt stärkste Option, mit Zielkonflikten klar genug, um sie gegenüber der Kundschaft zu begründen.

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.

Ergebnis

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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