Customer Background
To efficiently manage hardware development teams in Taiwan, Google leased two buildings (TPKD and TPKE) in Tpark and adopted a whole-building management approach. Google also implemented a facility management platform with centralized monitoring and AI applications.
This whole-building management model differs from traditional partial-floor leasing management, creating a stronger demand for energy efficiency optimization.
Requirements & Challenges
To achieve ESG and sustainability goals, Google aims to optimize the HVAC systems of two buildings in Tpark to improve both comfort and energy efficiency, including:
• WELL Standard Requirements: Ensure environmental health and comfort while meeting staff needs.
• Enhanced Energy Efficiency: Optimize energy use and reduce waste to maintain a comfortable environment.
Solution
Ennowell applied building digital twin driven AI technology, integrating real-time weather data with AI analytics to optimize both comfort and energy efficiency for Google.
• Weather Data Integration: Connects weather stations and APIs to monitor environmental changes in real time.
• Simulation & Prediction: Simulates and analyzes the impact of weather on building energy use to predict HVAC demand.
• AI Optimization: AI automatically calculates optimal control logic to balance comfort and energy efficiency.
• Smart Control: Integrates with existing central monitoring systems to enable rapid smart management.
Results & Benefits
As of the first half of 2025, the implementation of Ennowell’s building digital twin technology has delivered the following results:
• Maintained Comfort: Indoor PMV reached -0.055, ensuring occupant comfort.
• Improved Energy Efficiency: Achieved an average daily energy saving of 17%, effectively reducing energy consumption.
This technology enabled Google to optimize HVAC control within the existing building management system, balancing comfort and energy efficiency while delivering strong smart building performance.