Reports
Myrspoven is leading the way in real estate digitalization with white papers that explore how AI and data-driven solutions can transform building management. Our research provides valuable insights into improving energy efficiency, reducing emissions, and advancing sustainability in the real estate sector.
Myrspoven is leading the way in real estate digitalization with white papers that explore how AI and data-driven solutions can transform building management. Our research provides valuable insights into improving energy efficiency, reducing emissions, and advancing sustainability in the real estate sector.
AI-Powered HVAC in Educational Buildings
The study concludes that AI-powered HVAC systems significantly reduce energy consumption and carbon emissions, achieving a 3.12% reduction in heating and 8.93% in electricity use, with a net savings of 250.65 tCO2e over four years. These systems offer scalable benefits, particularly in carbon-intensive regions, and effectively integrate with existing infrastructure.
Fit for 55
Discover the impact of EU’s Fit For 55 framework on commercial property owners. Explore successful case studies of real estate companies and fund managers that have implemented sustainability measures and energy- efficient solutions in alignment with the framework, inspiring you to take action.
Commercial Real Estate in the age of the EU Taxonomy
Learn about how commercial property owners are influenced by the EU Taxonomy framework. Get inspired by best practice examples of real estate companies that have successfully implemented sustainability measures and energy-efficient solutions in compliance with the Taxonomy.
The road to Net Zero
Learn about the main Drivers and Barriers to Net-Zero Building Technologies. Get inspired by 10 real estate companies’ transitional work towards sustainable buildings.
Using AI to Optimize HVAC Systems in Buildings: A Real-world Example
In this paper, Schneider Electric describes our “real-world” AI solution and its implementation in 624 school buildings. After about 5 months of operation (winter season), the solution reduced heating energy by 4%, reduced electricity usage by 15%, reduced CO2e emissions by 205 tonnes, and reduced occupant complaints by 23%. They explain these results and provide lessons learned from the project.