The Autonomous Driving System for
Building Energy Efficiency

The Power of Combining Continuous Energy Data
with Continuous Decarbonization Simulation

The combination of continuous real-time energy data with continuous simulation and evaluation of retrofit and optimization measures creates an unprecedented foundation for precise, verifiable, and financially reliable decarbonization. On the data side, uninterrupted streams from meters, sensors, control systems, and external sources reveal how a building truly operates: real peak loads, seasonal fluctuations, comfort-related behavior, hidden inefficiencies, weather dependencies, and system interactions that traditional audits or static models simply cannot capture. On the simulation side, the decarbonization engine uses this constantly updated dataset to recalculate the expected impact of retrofit measures, operational strategies, and long-term pathways—ensuring that every predicted saving, emission reduction, and cost-benefit ratio is grounded in current evidence rather than outdated assumptions.

This continuous interplay creates a powerful feedback loop: planned measures are simulated, implemented, measured, and immediately compared against expected outcomes. Deviations become visible early, enabling targeted corrections that effectively close the performance gap—a long-standing challenge where real efficiency gains often fall short of design values. Instead of discovering issues years later, building owners see in near real time whether a heat pump performs as projected, whether insulation delivers the expected savings, or whether a control strategy needs refinement. Every measure becomes traceable, auditable, and improvable.

The result is a radically more reliable decarbonization process: one that aligns technical accuracy with operational reality, supports investment decisions with measurable proof, and allows organizations to continuously refine their pathway toward net-zero. By merging ongoing monitoring with ongoing simulation, buildings move from prediction-based planning to evidence-based and continuously optimized decarbonization, ensuring that climate goals, financial expectations, and actual performance finally converge.