University of Tokyo and Fujitsu Launch Pilot for Cross-Regional
University of Tokyo and Fujitsu Launch Pilot for Cross-Regional Data Center Workload Shifting December 24, 2025 In a significant step towards building a more sustainable and resilient
In FLEX, the workload is shifting from Hokkaido to Kanto. In 100 % renewable energy systems targeting 2050 obtained by Bogdanov et al., who analyzed cost-optimal pathways for Japan to achieve climate neutrality by 2050 using 100 % renewable energy.
Workload shifting refers to the dynamic adjustment of when and where computational tasks are executed, which in turn influences the temporal and spatial electricity demand. This capability helps mitigate renewable surpluses and mismatches, underscoring the potential of data centers to enhance grid flexibility. 1.2. Literature analysis
In FLEX, although Hokkaido offers abundant renewable resources and lower generation costs, the model indicates a workload shift towards the Kanto region. This outcome is primarily driven by the significantly higher data center capacity in Kanto.
Case settings for location planning and workload shifting feasibility. The location planning determines the installation regions for new data centers. Both spatial and temporal workload shifting are considered in these cases. Business as Usual (BAU) case assumes no flexibility in either workload or location planning.
University of Tokyo and Fujitsu Launch Pilot for Cross-Regional Data Center Workload Shifting December 24, 2025 In a significant step towards building a more sustainable and resilient
Load shifting complements peak shaving by redistributing energy use from peak hours to off-peak hours, enhancing the overall efficiency of energy consumption. Companies can implement
FLEX achieves a 49 % increase in spatial workload shifting compared to LOAD, emphasizing the synergistic effect of combining location planning with spatio-temporal workload shifting.
Load shifting helps industrial companies reduce grid fees, optimize power costs and manage their processes more flexibly.
Determine a computationally tractable and operationally viable real-time implementation strategy for the bilevel geographic load shifting scheme that optimizes job placement based on locational marginal
Associate Professor, The University of Tokyo - Cited by 14,056 - Energy Systems - Heat Transfer - Hydrogen/Ammonia Production-Storage-Utilization - Carbon-Free System - Electric Vehicle Utilization
With flexible load, however, locational prices influence the spatial allocation of demand, meaning that transmission and load shifting interact. This raises the question of how price-responsive
The University of Tokyo (UTokyo) and Fujitsu have commenced a pilot testing the viability of inter-regional workload shifting between data centers.
However, the system still needed to refine forklift operation based on the skills of experienced operators, to deal with different-sized cargo and differently-configured trucks, adjust
The University of Tokyo Fujitsu Limited Tokyo and Kawasaki, Japan, December 24, 2025 The University of Tokyo (UTokyo) and Fujitsu Limited today announced the commencement of a trial
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