SOLIDA — SISAB and Schneider Electric's AI-Optimised HVAC Cuts Energy Use Across 87 Stockholm School Properties

SISAB (Skolfastigheter i Stockholm AB), the municipal company that owns and manages Stockholm's roughly 600 school and preschool buildings on a 340-million-Swedish-krona annual energy budget covering about 250 GWh of demand, partnered with Schneider Electric and Swedish AI firm Myrspoven to test whether machine-learning HVAC control could cut energy use without harming indoor comfort.
Built on Schneider Electric's EcoStruxure Building Operation platform and marketed as SOLIDA, the system used more than 9,900 sensors to continuously adjust heating, ventilation and airflow across 87 school properties over a four-year evaluation period, with a predictive layer forecasting demand up to 48 hours ahead to smooth heating peaks.
Across the 87 properties, electricity consumption fell 8.9% overall (an average 8.7% per building) and district-heating use fell 3.1% (an average 2.8% per building), for a net reduction of about 250 tonnes of CO2-equivalent once the emissions of the sensors, servers and other infrastructure were subtracted. Following the pilot, SISAB extended the system to roughly 125 of its schools and preschools, reporting close to 3 GWh in annual energy savings, comparable to the yearly consumption of about 150 single-family homes.
The results come from a joint SISAB-Schneider Electric report rather than an independent third-party audit, and the analysis notes that carbon savings would be substantially higher in electricity grids more carbon-intensive than Sweden's, meaning the CO2 figures are specific to Sweden's largely fossil-free power mix and don't directly generalise to other countries.

Read the full analysis: https://www.grontsamhallsbyggande.se/2024/12/19/ny-rapport-visar-ai-baserad-hvac-optimering-har-stor-potential-att-energieffektivisera-fastigheter-och-minska-klimatavtryck/