7 minGuides

How Shelly smart control reduces your carbon footprint

How smarter control can reduce both your electricity bill and your home’s emissions at the same time.

How Shelly smart control reduces your carbon footprint

How Shelly smart control reduces your carbon footprint — with concrete examples

Demand flexibility at home — small action, big impact

A common thought is: “Why does timing matter if my total consumption is the same?”

This is where demand flexibility meets the reality of the power system:

  • Not all loads can run simultaneously without relying on more expensive and dirtier generation.
  • When consumption is shifted away from peaks (morning/evening spikes) to windy/solar-rich hours, the system becomes cleaner.

Shelly devices and predictive control (MPC) can automate this shift.

How do electricity emissions form?

Finland’s electricity mix is relatively clean on average, but:

  • when demand is very high, more fossil generation is needed
  • balancing power is often gas or coal somewhere in the Nordics/Baltics
  • at those moments the marginal production is the dirtiest

In other words:

Moving one kWh away from a peak hour can reduce emissions more than saving one kWh during an average hour.

Example 1: a water heater and emission reduction

Assume:

  • your water heater consumes about 3000 kWh/year
  • without smart control, usage is random
  • predictive control (MPC) + Shelly shifts 30–50% to cleaner and cheaper hours

If the emission difference is roughly:

  • 150 g CO₂/kWh (peak) vs 50 g CO₂/kWh (windy night)
  • difference 100 g CO₂ per shifted kWh

If 1500 kWh/year is shifted:

  • 1500 kWh × 100 g CO₂/kWh = 150,000 g CO₂ = 150 kg CO₂ per year

That’s roughly comparable to:

  • about 1000 km of driving a typical petrol car.

And that’s just one water heater.

Example 2: electric sauna and seasonal peaks

An electric sauna is a major load in many homes:

  • 6–9 kW during heating
  • many people heat it on Friday evenings when the grid is already stressed

Predictive control (MPC) can:

  • suggest pre-heating earlier during a cleaner/cheaper hour
  • limit simultaneous power with EV charging and the water heater
  • keep the main fuse from overloading while smoothing peaks

Impact:

  • every avoided peak reduces the need for fossil balancing power
  • shifting even 200 kWh/year to cleaner hours can cut tens of kilograms of CO₂

Example 3: EV charging

An EV can easily consume:

  • 2000–4000 kWh/year depending on mileage

Without smart control, charging often happens:

  • right after work (evening peak)

With predictive control (MPC) + Shelly:

  • charging is planned for cheap and clean night-time hours
  • the car is ready when you need it

If 2500 kWh of charging is shifted with a ~100 g CO₂ benefit:

  • 2500 kWh × 100 g = 250 kg CO₂ less per year

Combined with a water heater, you quickly reach hundreds of kilograms of annual CO₂ reductions for a single home.

Why automation is the key

Manually tracking prices and emissions is exhausting:

  • checking data daily
  • deciding the best times for each device
  • constantly adjusting timers

Shelly + predictive control (MPC) can do this for you:

  • fetch prices (and optionally emissions)
  • optimize schedules
  • execute control via Shelly without you needing to remember anything

That means:

  • small emission reductions every day
  • without constant effort

Summary: money and environment in one package

With smart Shelly control you:

  • save money by shifting consumption to cheap hours
  • reduce emissions by using electricity when it’s cleaner
  • help the whole power system rely less on the dirtiest balancing generation

What feels small in one home scales massively when thousands of homes do the same.