Table 1 Brief description of different scenarios.
From: Carbon emissions flow and inequality embodied in cross-regional computility transfer in China
Specific scenario | Brief description |
|---|---|
Baseline scenario (BS) | In terms of rack scale, from 2020 to 2023, the growth rate will be based on the actual growth rate. From 2024 to 2030, it will be set at 20%. From 2031 to 2060, it will gradually decrease to 0%. This simulates the saturation trend after the maturity of data centers. The ratio of racks in the east and west regions will remain at 8:2. The PUE, IT load utilization rate (LUR), and grid carbon emission factor will all remain at the current levels. |
Policy scenario (PS) | The ratios of the east and west racks have been adjusted to 6:4. The PUE of the east part has gradually decreased to 1.25, and that of the west part has dropped to 1.2. The ITLUR has been raised to the industry’s optimized target of 65%. The utilization rate of renewable energy is set at 40%, but the clusters that have already reached this target will maintain the current value. |
Computility scale scenario (CsS) | Mainly focusing on the changes in computility requirements, the growth rate has been adjusted to 30%. |
Load utilization rate scenrio (LurS) | ITLUR has been raised to 80%. |
Clean energy transmission from east to west scenario (WcetS) | The transmission of clean energy from the west regions has decreased by 20%, effectively simulating the impact of transmission self-usage. |
Power usage effectiveness scenario (PueS) | The PUE in the west region is projected to decrease to 1.1 by 2040, while in the east region, it is expected to reach the same level by 2050. |
Renewable energy utilization rate scenario (RerS) | By 2040, the Rer in the east and west regions is projected to reach 50% and 60%, respectively. However, for clusters with a currently higher proportion of renewable energy penetration, the target is set to achieve a 90% renewable energy share. |
