Shopping cart

empty-cart-img

Your shopping cart is empty

To products

Self-learning smart boiler – savings and return on investment explained

Self-learning smart boiler – savings and return on investment explained

What is a self-learning smart boiler?

A self-learning smart boiler automatically adapts to a household's hot water usage. This means that heating only occurs when necessary, reducing energy consumption and costs without compromising on comfort.

H2: How does it work?

The system learns from:

  • Daily and weekly usage

  • Hot water volumes

  • Absence periods

  • Renewable energy availability

H3: Comfort without waste

Hot water when needed, no continuous heating.


H2: How much money can you save?

Typical savings for households include:

  • 10–30% reduction in hot water energy use

  • €120–€350 annual savings for average households

  • Higher savings with solar panels or dynamic tariffs

H3: Example

A household spending €1,000 per year on hot water may save €200–€300 annually.


H2: Less common applications with added savings

H3: Solar energy storage

Excess solar electricity is stored as hot water instead of being fed back at low rates.

H3: Dynamic electricity pricing

Heating water when electricity prices are lowest increases savings significantly.

H3: Holiday homes

No standby heating during vacancy reduces unnecessary costs.


H2: A smart investment with long-term returns

A self-learning smart boiler often pays for itself within a few years.


Household savings by type

Single household

  • Annual savings: €80–€150

Two-person household

  • Annual savings: €150–€250

Family household

  • Annual savings: €250–€400

Homes with solar panels

  • Annual savings: €300–€500+


ROI & payback time

  • Average investment: €1,200–€2,000

  • Typical payback period: 3–10 years, depending on usage and energy prices


Legal disclaimer

Savings and payback periods are indicative only. Actual results may vary depending on household behavior, energy prices, installation and local conditions.