データセンター基盤エネルギーハブにおけるエネルギー・炭素シナジー：階層型炭素取引下の電力・熱連成市場における最適取引意思決定
Energy–Carbon Synergy in Data Center-Based Energy Hub: Optimal Trading Decision in Coupled Electricity–Heat Markets Under Ladder-Type Carbon Trading (原題)
Tianbo Han, Qingwei Xiao, Weiwei Li, Tong Qian, Xuehua Xie, Xiuzhang Li, Wenhu Tang
🤖 gxceed AI 要約
日本語
データセンターを柔軟なプロシューマーと捉え、電力・熱・炭素市場に同時参加するエネルギーハブの取引意思決定モデルを構築。作業負荷シフトや廃熱回収、CHP、蓄エネを統合し、二層モデルをKKT条件等で単一MILPに再定式化。ケース分析で連成取引が収益改善と排出削減をもたらす一方、炭素考慮戦略が物理的総資源コスト最小化とは限らないことを示す。
English
This paper models a data center-based energy hub bidding in coupled electricity, heat, and ladder-type carbon markets. A bilevel program coordinating workload shifting, waste-heat recovery, CHP, and storage is reformulated as a single MILP. Case studies show coupled energy-carbon trading improves private profit and cuts emissions, though carbon-aware strategies do not always minimize total physical system cost.
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
日本ではデータセンターの電力需要増と廃熱利用、SSBJ・Scope2対応が焦点。炭素市場と熱市場を連成させた取引設計は、GXリーグや非化石証書、地域熱供給の脱炭素を検討する日本企業・自治体に示唆を与える。
In the global GX context
As data centers emerge as major flexible loads, this work links carbon pricing with electricity-heat market co-optimization. It informs global debates on integrating carbon markets with local energy systems under ISSB/CSRD disclosure and transition finance, though the ladder-type carbon mechanism is China-specific.
👥 読者別の含意
🔬研究者:電力・熱・炭素市場の連成最適化と二層モデル定式化に関心のある研究者に有用。
🏢実務担当者:データセンター運用者やエネルギー事業者が、廃熱回収と炭素市場参加によるコスト・排出削減戦略を検討する際の参考になる。
🏛政策担当者:炭素市場と地域熱供給制度の設計において、連成市場の効率性と分配影響を考慮する必要性を示唆。
📄 Abstract（原文）
Data centers are becoming flexible prosumers in integrated electricity–heat systems (IEHSs) because of their large energy demand, workload flexibility, and waste-heat recovery potential. Coordinating these resources can improve energy utilization and carbon performance while supporting sustainable operation without curtailing computing services. This paper develops a trading decision-making approach for a data center-based energy hub (DCEH) participating in coupled electricity, heat, and carbon markets while accounting for independently operated power and district heating networks. The DCEH strategically bids electricity and heat prices and quantities and acts as a price taker in a ladder-type carbon market. A detailed DCEH model coordinates workload shifting, server operating states, thermal dynamics, waste-heat recovery, combined heat and power, a gas turbine, and energy storage. A bilevel model is then formulated in which the DCEH optimizes its bids and operation at the upper level, while the lower level clears the electricity and heat markets subject to network constraints. The bilevel problem is reformulated as a single-level mixed-integer linear program using KKT conditions, big-M linearization, and binary expansion. Case studies on a PDN33-DCEH-DHN32 system show that coupled energy–carbon trading improves the DCEH’s private financial outcome and reduces emissions, although the carbon-aware strategy does not necessarily minimize total physical system resource cost. Flexible DCEH operation further reduces the DCEH cost and emissions across different carbon mechanisms and grid-price scenarios, supporting more sustainable DCEH operation.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su182010296first seen 2026-10-12 04:43:36
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