建設順序を考慮したデータセンタークラスターの電源・負荷協調多段階低炭素計画
Source–Load Coordinated Multi-Stage Low-Carbon Planning for Data Center Clusters Considering Construction Sequence (原題)
Huanbei Zhao, Changhong Yu, Guobin Fu, Zhengkui Zhao, Sun Haibin, Xiaoling Su
🤖 gxceed AI 要約
日本語
データセンタークラスターの建設順序と負荷成長を考慮し、冗長な初期投資を回避しつつ後期の電力信頼性を確保する多段階低炭素計画手法を提案。季節別の代表日シナリオを生成し、段階的炭素取引メカニズムを組み込んだライフサイクルコスト最小化モデルを構築。炭素制約強度の比較シナリオにより、各技術の建設スケジュールと容量配分を決定する。結果は、投資タイミングと炭素削減要件を調整することで大規模データセンターの低炭素拡張を支援できることを示す。
English
This paper proposes a multi-stage low-carbon planning method for data center clusters that coordinates construction sequencing and load growth to avoid redundant early investment while ensuring supply reliability. It integrates a tiered carbon trading mechanism into a life-cycle cost minimization model, using seasonal scenarios to determine optimal construction schedules and capacity allocations. Results show the method supports low-carbon expansion by balancing investment timing, capacity deployment, and carbon reduction targets.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本のデータセンター需要増加と再エネ調達圧力に対し、建設順序と炭素取引を組み込んだ計画手法は、SSBJ対応やScope 2削減目標を持つ企業の設備投資判断に示唆を与える。また、地域エネルギー計画と連動する点は、日本の地域分散型エネルギー政策にも関連する。
In the global GX context
This study contributes to global discourse on low-carbon infrastructure planning by integrating carbon trading into multi-stage capacity expansion, relevant for data center operators facing CSRD and SEC climate disclosure requirements. The method's focus on construction sequencing offers a practical approach for aligning investment timing with decarbonization targets, applicable beyond China.
👥 読者別の含意
🔬研究者:Provides a novel optimization framework for multi-stage low-carbon planning with carbon trading, useful for extending to other energy-intensive sectors.
🏢実務担当者:Offers a decision-support tool for data center developers to plan capacity expansion while meeting carbon constraints and managing investment risks.
🏛政策担当者:Illustrates how tiered carbon pricing can guide infrastructure investment timing, informing policy design for low-carbon industrial clusters.
📄 Abstract（原文）
Planning data center clusters requires explicit consideration of construction sequencing and load growth over the planning horizon to avoid redundant early-stage capacity and premature investment while preventing capacity shortages and deterioration in power-supply reliability during later stages. This study proposes a source–load coordinated, multi-stage, low-carbon planning method for data center clusters. First, representative daily operating scenarios for the four seasons are generated. Second, the regional energy-planning cycle is aligned with the projected load growth of the data center clusters, and a tiered carbon trading mechanism is incorporated into a multi-stage optimization model that minimizes the total life-cycle cost. Comparative scenarios with different carbon constraint intensities are then evaluated to determine the construction schedule and capacity allocation of each technology. The results demonstrate that the proposed method can support the low-carbon expansion of large-scale data center clusters by coordinating investment timing, capacity deployment, and carbon reduction requirements.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/en19174153first seen 2026-09-05 05:10:58
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