Case Studies

Making Energy Use for Cooling More Efficient Through AI-Controlled Air Conditioning
Promoting Improvements through Better Information Sharing with Overseas Data Centers
Making Energy Use for Air Conditioning More Efficient Through Operational Improvements (Initiatives with Measures That Were Implemented at 80% or More)

Making Energy Use for Cooling More Efficient Through AI-Controlled Air Conditioning

We began full-scale operations in the first half of FY 2019 at one major data center in Japan, and have covered approximately 60% of all server rooms by AI controls. We reduced the overall energy used for air conditioning by 15-20%, and we plan to continue the rollout to include other data centers in FY 2021.

Making Energy Use for Cooling More Efficient Through AI-Controlled Air Conditioning

[September, 2021]

Promoting Improvements through Better Information Sharing with Overseas Data Centers

In order to coordinate our PUE improvement activities with overseas data centers and further enhance our activities, we are striving to share information via the company intranet and conducting regular meetings remotely. We are planning to take the methods for assessing improvement effects and the knowledge gained at each location, and share that information with data centers across the entire Fujitsu Group, so that improvement activities will progress more smoothly in the future.

[September, 2021]

Making Energy Use for Air Conditioning More Efficient Through Operational Improvements (Initiatives with Measures That Were Implemented at 80% or More)

We implemented fine-tuning of air handling units and countermeasures for hot spots (e.g., aisle capping and installation of blanking panels) both in Japan and overseas, and made significant contributions toward achieving the PUE improvement goals for FY 2019.

Examples of Improvements Being Implemented (Australia)
Optimizing Server Rooms Through Adjustments to Cooling Temperature and Fan Speed

Through the visualization of environmental data and an energy conservation tool (*EMOS), we have greatly reduced the amount of time necessary to analyze points for improvement, such as hot spots, and optimized server rooms.
* EMOS (Environmental Monitoring and Optimization Solution tool)

We also carried out additional installations for cold aisle capping at two other data centers, using similar diagnostics.

Visualization of hot spots

Results of adjustments to air handling units (air flow, electricity)

Examples of improvement measures (UK, Germany, America)
Improved air conditioning efficiency through additional installations for cold aisle capping and adjustments to the locations of grilles which blow cold air

In conjunction with changing the locations where racks were installed by increasing and decreasing ICT equipment, we made energy use for cooling more efficient by changing the locations of grilles which blow cold air at high speed and carrying out installations for cold aisle capping. At data centers in America, together with changing the locations of grilles which blow cold air, we adjusted air flow through variable dampers underneath the floor, and made energy use for cooling more efficient. We have also installed additional blanking panels to further improve efficiency.