20–40% cost saving potential
Concentrate HVAC electricity use in low-price periods using day-ahead and intraday prices (and optional carbon signals) to time pre-heating and pre-cooling.
Europe · Commercial buildings · HVAC
Cut HVAC costs and carbon by running your HVAC more smartly—no new hardware, just better use of what you already run.
HVAC that follows power prices, not a fixed timetable. Time heating, cooling, and ventilation with the market: lower OPEX, a clearer ESG line, and more room to breathe when prices jump—using the systems you already have.
HVAC running cost
Benefits of using thermashift
Beyond the bill: price-aware control supports sustainability reporting and smoother operations when markets move.
ESG alignment
Use power when there is often abundant renewable generation and prices are low—reducing spend and emissions intensity per delivered kWh, supporting corporate targets and grid-friendly load patterns where markets reward flexibility.
Resilience against power price volatility
Banking thermal comfort in cheap hours means you rely less on expensive real-time delivery when markets spike—smoother OPEX and fewer operational fire drills.
Could this work for your building?
We focus on European commercial sites where electricity costs matter and the plant is big enough for price-aware scheduling to pay off. Tick the boxes that fit—if all three apply, you’re in the sweet spot we design for (offices, airports, hotels, campuses, and similar).
Not sure about BACnet or point lists? We’ll work with your facilities team and integrator to scope what’s readable and writable before anything goes live.
How does Thermashift work?
A closed loop on your site: HVAC data leaves the plant, crosses the local network, is optimised, and returns as commands to the HVAC system—continuously, inside your comfort band.
Signal path
HVAC system
Sends temps, flows, valve positions. Receives heating / cooling targets.
Local network
Enables communication between the optimisation model and the HVAC system.
Optimisation model
Receives plant data, prices, rules. Sends setpoints back to the plant.
What the optimiser does
Inputs from you
Policy choices such as comfort temperature range and other limits you want the system to respect.
Model fit to your building
The optimisation model is tuned to your local plant and physics—each building is unique.
Your model runs the HVAC
That site-specific optimiser then steers operations using your inputs together with power prices.
Low price → pre-heat / pre-cool
High price → trim plant output
Building mass buffers inside your limits
24 h example — band, temperature & price
20–24 °C band
Temperature
Power price
Illustrative only.
- Connect BACnet read / write
- Calibrate Your band & physics
- Run Schedules vs prices
Example building calculation
Illustrative case: a large office in Oslo with a negotiated comfort band of 20–24 °C during occupied hours, modern air-handling and hydronic distribution, and electricity priced off Nordic day-ahead patterns. Numbers below are rounded indicatives for storytelling—not a substitute for a site-specific study.
Site assumptions
- Typology: Large office, Oslo climate
- Comfort: 20–24 °C occupied band (policy-defined)
- Baseline: Fixed schedule / narrow deadband control
- Optimised: Same band, price-aware preheat/precool
Illustrative outcome*
- Annual HVAC electricity cost: often 20–40% lower than baseline in comparable studies*
- Mechanism: Shift kWh into low-price hours; reduce demand in spike hours within 20–24 °C
- Reporting: Hourly savings traceable for finance and ESG
*Same disclaimer as sitewide footnote: savings vary by building, contract, weather, and operating rules. We validate with a pilot on your meters and BMS data.
Talk to us about a pilot in Europe
We start with a focused deployment, prove savings and ESG and resilience outcomes with your data, then help you scale across similar assets—no pricing page yet; we’ll scope with you.