The city of Stockholm aspires to lead the rankings of the most sustainable places in the world and to be fossil-free by 2030, with a maximum CO2 emissions of 105,000 tonnes from their operations.
All building data coming from EcoStruxure Building Operation and Building Advisor are collected in real time and saved into a cloud database from Myrspoven. These data points are combined with other datasets generated from different energy providers, weather forecasting systems, and other sources.
AI algorithms and machine learning are applied to all data retrieved per building to generate models. About every 15 minutes, new optimized control signals are sent back via the connector to the BMS based on these predictions.
Increased lifetime of units in the building with 24/7 digital predictive maintenance
Reduced travels back and forth to sites with 24/7 digital fault detection and diagnostics also leading to reduced CO2 emissions
"I look forward to this new AI solution being implemented and that we thereby streamline our property operations. This collaboration with Schneider Electric helps us in our work to reduce energy use, reduce climate impact and at the same time optimize indoor comfort in the city's buildings."
– Dennis Wedin, Housing and Real Estate Council in Stockholm