Glossary

Active operational optimization refers to the continuous, data-driven process of improving building operations for greater efficiency. Unlike reactive operation management, which responds only to faults or user complaints, active optimization focuses on proactive measures. Through technical monitoring, predictive maintenance, and trend analyses, inefficient operational practices in technical building equipment (TBE) are identified and resolved early. This results in reduced energy consumption, CO₂ emissions, and operating costs, while maintaining—and often enhancing—user comfort.

A key component of active operational optimization is the use of digital technologies. Cloud platforms can collect, structure, and analyze operational data using artificial intelligence to identify opportunities for improvement. Depending on the initial conditions, autonomous optimization can reduce energy consumption, costs, and CO₂ emissions in a building by up to 40%, which is especially significant in large building portfolios or commercial building operations. Active operational optimization not only lowers energy costs but also supports ESG goals and accelerates decarbonization efforts.