CAN DISTRICT HEATING BE SELF-LEARNING?

GATE21 AND HOFOR will be leading a demonstration on self-learning data-intelligent district heating systems which is built on the tools developed in CITIES

The IDASC project aims to collect and disseminate experiences about opportunities surrounding the self-learning systems.

As part of the project, IDASC will test different models for using more real-time data in district heating, meaning senior executives, decision-makers and politicians involved in district heating can be given the best possible conditions for assessing its potential. This includes technical advantages and economic savings, as well as its CO2 reduction potential.

HOFOR – Greater Copenhagen Utility is the test partner for the project, testing a district heating network serving 25 apartment buildings. Here, a method will be developed to use smart meters from district heating customers for data-driven temperature optimization. The trial period will begin with the start of the 2019 heating season.

Read more in the pdf