Case Study: Eneco reduces network temperatures 5–10°C and cuts 600+ tons CO2/year with Gradyent's Digital Twin

Eneco ambitious on renewables and low temperatures – saving CO2 with a Digital Twin

Eneco, the largest district heating operator in the Netherlands supplying about 140,000 residential and 2,500 commercial customers, faced the challenge of lowering network temperatures—across a network serving ~10,000 homes and 32 substations—to enable year‑round use of low‑temperature renewable sources like geothermal while keeping customer supply secure. To tackle this, Eneco partnered with Gradyent and deployed a cloud‑based Digital Twin of their heating grids.

Gradyent’s Digital Twin uses smart meters, sensor data and weather forecasts to model temperatures, flows and pressures in real time and provide dynamic setpoint recommendations for control room operations. As a result, Eneco reduced network temperatures on average by 5–10 °C (with >10 °C possible in shoulder seasons), cut heat losses and lowered CO2 emissions by more than 600 tons per year, while preserving supply security and strengthening the business case for geothermal.

Eneco

Paolo Herdé

Manager Smart Grid & Innovation Team