Aarhus, Denmark

The Danish pilot case will be a cluster of public buildings across Denmark, which are connected to DH networks

Pilot Overview

The heating optimization may achieve energy savings of an average 29.3 % on the heating energy use. Scaling up, the ENTRANCE project aims to conduct a broader test of this optimization strategy across ~50 buildings.

In the picture one of the demosites, an old public school.

Solutions to be Implemented

The Aarhus pilot site will implement following solutions.

Installation of low-cost clamp-on IoT sensors wirelessly connected to the cloud, which seamlessly integrate with AI solutions in the cloud and deliver control signals or directly control units through online actuators. This solution enables risk-free measurement with enabling measurement without breaking into the power cables, pipes, etc.

Deployment of sophisticated AI algorithms to optimize heating use and enhance energy flexibility both at the individual building level and within the building cluster.

Conducting functional tests to characterize and quantify the energy flexibility of the building cluster.

Analyzing data to assess the potential for energy savings and energy flexibility.

Creating a user-friendly interface to monitor sensor measurements, such as heat rate, flow, and heat energy, as well as the available energy flexibility.