Improve Power Usage Effectiveness (PUE) at Our Data Centers

Our Approach

Energy consumption in data centers is on the rise, due to factors such as the spread of cloud computing, and society is paying greater attention to the environmental performance of data centers.

Data centers account for approximately 40% of the CO2 emissions (FY 2020) for each business in the Fujitsu Group. Since data center CO2 emissions are expected to continue increasing along with the expansion of digitalization, the Fujitsu Group has a social responsibility to promote environmentally friendly data centers. At the same time, in terms of enhancing our business infrastructure, it has also become an important topic that we should work on from a long-term perspective.

FY 2020 Performance

Targets under the Fujitsu Group Environmental Action Plan (Stage IX)Last fiscal year (FY2020 result)
Improve PUE (*1) at data centers by 2% or more. (Compared to FY 2017)PUE 1.56 - Improvement of 2.0%
  • (*1)
    PUE (Power Usage Effectiveness):
    An index for power usage effectiveness at data centers. Expresses overall power consumption at data centers as a value divided by the power consumption of servers and other ICT devices. The closer the number is to 1.0, the greater the efficiency.

Promoting Activities to Achieve Our Goals

We are moving forward with activities to improve PUE at data centers in Japan and around the world, based on the Fujitsu Group Environmental Action Plan. Continuing from last year, some of our activities were restricted in FY 2020 due to the impact of the global spread of COVID-19, but overall, we carried out updates to air conditioning equipment and implemented extensive energy saving, and we were able to achieve our goals for FY 2020. Mainly, we are attempting to reduce air conditioning power usage by striking a proper balance between the amount of heat generated by IT equipment and cooling capacity. In terms of cooling capacity, we check and evaluate whether the air conditioning equipment is performing according to its specifications, review the air conditioning controls, and improve the coolant functions. In FY 2019, we achieved a 90% implementation rate for nine operational improvement measures in total (measures to prevent hot spots and improved airflow, among others), and the impact of that maintenance also contributed greatly to achieving our goals. Furthermore, we are also working to expand our use of renewable energy, with the aim of achieving RE100 (*2) in tandem with our energy conservation activities, and we announced in February 2020 that we would operate 100% of the "FJcloud" with renewable energy by FY 2022.

  • (*2)
    RE100: An international initiative which aims for 100% of power usage to be derived from renewable energy. The Climate Group, an NGO, operates the RE100 in partnership with the CDP.

PUE values and calculation methods

PUE ValuePUE calculation method, other
Range: 1.35 to 2.10
No. of data centers: 25
  • Apply the Green Grid
  • Work to implement improvements using DCMM
    DCMM: Data Center Maturity Model

Examples of Initiatives in FY 2020

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

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.

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