Asia-based real estate leader cuts lighting energy use by 27% and uncovers new efficiency gains

Operating across several countries with different climates, legacy systems and local operational practices, the company wanted a more consistent way to understand how buildings were performing. Their aim was to improve energy efficiency, occupant comfort and operational reliability across the portfolio.

The company selected its 18-story waterfront office in Singapore as the starting point for its data-led approach. Its scale and representative usage made it an ideal site for identifying improvement opportunities that could be translated to other locations. Using data from existing systems, the team began assessing energy consumption patterns, indoor conditions and equipment performance.

As the team analyzed operations, they discovered differences in data availability and system configurations from site to site. Humidity and air quality levels varied. Some plant room systems were not running efficiently, but these issues were difficult to detect without consistent system-level insights. These differences made it challenging to identify trends or replicate improvements across buildings.

To address these gaps, the company consolidated data from existing third-party systems into one integrated data environment. OpenBlue Insights and OpenBlue Equipment Performance served as supporting tools that helped bring this information together. With a connected view of the performance, the team could compare buildings more accurately, detect inefficiencies earlier and prioritize improvements more effectively.

The initial deployment delivered insights that now guide decisions across the broader portfolio:

• 27% reduction in lighting energy use
• 32% potential air-side energy savings
• 4.3% potential plant room energy savings
• Identification of hidden plant room energy inefficiencies
• Indoor comfort improvements after detecting 42 faulty sensors