Connected Buildings ENG
Connected Buildings
: Bagaar, Insaver, June, EnergyVille/ VITO
: € 1,444,160
: € 588,583
This pilot-scale development project is a follow-up to the Connected Buildings feasibility study that showed that the market demands remote energy services that handle data obtained from various home sensors.
Residential customers appreciate relevant energy audits without home visits and continuous energy advice based on (near) real-time measurements. The consortium aims to offer remote energy advice via the June platform linked to EBECS (VITO/EnergyVille building energy calculation service).
Installing additional sensors for data on indoor temperature, presence in the building, and humidity greatly enhances the accuracy of the delivered advice. This requires the optimal functioning of the full chain of sensors, connectivity, data analytics, and customer approach with advice and investment offers.
This advice will trigger consumers to make investments in their homes related to energy efficiency, renewable energy, flexibility, and storage.
The set of sensors and energy investments also ensures continuous monitoring, which collects sufficient data for the learning and improvement process based on artificial intelligence and machine learning.
100 households were provided with the necessary sensors with sufficient stability and data quality from the Nb-IOT network. For customer service, satellite data was used to determine the volumes of the homes.
3 different types of advice were proposed:
- The most economic situation (fastest payback period),
- The most ecological situation (most cost-efficient way to achieve energy label A); and
- The legal minimum requirements.
The projects worked out very accurate PV/battery advice based on quarter-hourly measurement data.
Due to corona, the effective installations based on the calculated advice have not yet been implemented. The consortium will assist customers to ensure a trouble-free installation.
After the installation of the new energy infrastructure, the loop is closed by measuring the data to objectively demonstrate the impact on comfort and cost savings. This will result in a quality stamp for future installations and enable predictive maintenance modeling.
The project provides sufficient insights for the further development of products and services for both the B2C and B2B segments.