Unlocking Carbon Capture: Building Materials with the Power to Remove 16 Billion Metric Tons of CO2 a Year

Type of Project: Commercial
Total Size: 832 sqm
Location: Hong Kong
Region: Asia
We conducted performance monitoring using our BEE Sense system for one of the tenants in an event space in a Hong Kong commercial building, covering the period from June 16 to October 15, 2024. The work was split into two phases—Phase 1 (June 16 to August 15) and Phase 2 (August 16 to October 15)—and focused on tracking energy consumption, indoor air quality (IAQ), and thermal comfort. Using advanced analytics and monitoring tools, we also identified opportunities to reduce energy use and improve overall performance.
We grouped hourly electricity consumption data to identify typical usage patterns and spot differences between the two monitoring phases. With BEE Sense tools like Operation Analyzer and Action Tracker, we analyzed hourly trends to understand how usage varied between weekdays and weekends and to highlight areas of inefficiency.
We identified clear opportunities to further reduce energy use:
To support ongoing improvements in building performance, we reviewed the monitoring results and identified practical ways to reduce energy use without compromising comfort. Our team provided a set of energy-saving recommendations targeting both systems and user behavior. These fall into the following categories:
The project included continuous monitoring of indoor air quality to support a healthy and comfortable environment for the store’s staff and customers. BEE Sense tracked important factors like CO₂ levels, PM2.5, total volatile organic compounds (TVOC), and even virus presence during the same two monitoring phases.
We analyzed daily and hourly patterns in IAQ. The analysis highlighted occasional spikes in CO₂ concentrations, likely due to high occupancy or insufficient ventilation. These findings point to the need for on-site checks and improvements in how air flows and fresh air is brought in.
To support healthier indoor environments, we recommended a series of improvements grouped into the following categories:
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