/Knowledge/Smart Heating

Success Story · 6/4/2026

Smart Heating

Challenge

Chronically excessive setpoint temperatures and energy consumption due to unregulated, inefficient building heating systems and the resulting CO₂ emissions

Solution

LoRaWAN®-enabled sensors, digital heating curve control, and a central dashboard for visualization

Highlights

  • 300 square meters of office space
  • 17,500 kWh and 14 tons of CO₂ saved per year
  • 2 weeks from kick-off to go-live
IoT SolutionsSmart Heating

In a 300-square-meter office building owned by CURRENTA, the heating system was running at a high setting regardless of actual room usage or the outside temperature. This was due to a lack of transparency regarding room usage, air quality and energy consumption.

Challenge

No demand-based control

The heaters ran continuously at 22–24 °C — regardless of the time of day, the weather or whether anyone was home.

No indoor air quality monitoring

Neither temperature trends nor CO₂ or particulate matter levels were recorded or analyzed.

High energy consumption, no concern for CO₂ emissions

Large amounts of heating energy each year resulted in several tons of CO₂ — with no way to optimize or reduce it.

Flat-rate billing

Because of the flat-rate billing, more heat was used than necessary and the potential for savings went unnoticed.

Solution

Achieve sustainability goals through heating optimization and air quality tracking in just two weeks.

Retrofitting with smart heating actuators

16 actuators regulate the heating according to demand — based on temperature, occupancy and time profiles.

Sensors for CO₂, temperature, and particulate matter

Eight networked air quality sensors provide precise data for greater comfort, a better indoor climate and targeted ventilation.

Dashboard for Transparency and Control

A central dashboard displays temperature trends, operating hours, energy consumption and CO₂ levels for the 300-square-meter office space.

Efficient data transmission via LoRaWAN®

The integration of existing infrastructure (Conneqtive) enables secure and scalable connectivity — even for future buildings.

Chart of Daytime and Nighttime Temperatures Over the Course of a Month
Chart of Daytime and Nighttime Temperatures Over the Course of a Month

Outcome

  • An average temperature drop of 3–4°C, from 23–24° to 20°
  • Energy consumption is expected to be 30% lower thanks to intelligent control
  • A measurable contribution to achieving ESG and sustainability goals

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