Should Small-Scale Data Centers Participate in the Day-Ahead Electricity Market?
小規模データセンターは翌日電力市場に参加すべきか？ (AI 翻訳)
E. Figini, Mario Paolone
🤖 gxceed AI 要約
日本語
本論文は、小規模データセンターが電力市場に参加し、炭素排出削減とコスト削減を同時に実現する枠組みを提案。廃熱回収やワークロードの柔軟性を活用したリスク回避的入札戦略により、従来方式比22%のコスト削減を示した。
English
This paper proposes a framework for small-scale data centers to participate in the day-ahead electricity market with a carbon-aware, risk-averse bidding strategy that leverages flexibility from local energy resources, waste heat recovery, and workload, achieving a 22% cost reduction over conventional time-of-use schemes.
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
日本でもデータセンター需要が急増しており、本提案の市場参加モデルは電力系統負荷軽減とGX推進に貢献し得る。特に再生可能エネルギーとのPPA活用は日本企業のScope2削減に直結する。
In the global GX context
This work demonstrates a concrete operational model for integrating data centers into electricity markets, relevant globally as data center energy use surges. The carbon-aware bidding strategy aligns with ISSB/TCFD expectations for transparent emissions management.
👥 読者別の含意
🔬研究者:Provides a novel optimization framework for data center participation in electricity markets with explicit carbon objectives.
🏢実務担当者:Data center operators can use the proposed PPA model to reduce energy costs and carbon footprint simultaneously.
🏛政策担当者:Highlights how market design can incentivize demand-side flexibility from data centers to support grid decarbonization.
📄 Abstract（原文）
The global race to artificial intelligence competitive advantage is challenging electricity grids by demanding growing data center capacity. Addressing this challenge requires synergistic operational strategies that integrate data centers into electricity markets while supporting grid operation. This work proposes a bilateral power purchase agreement between small-scale data centers and distribution system operators, enabling data center participation in the day-ahead electricity market. To facilitate market participation, we develop a scenario-based, risk-averse bidding strategy that leverages flexibility from local energy resources, waste heat recovery, and data center workload. The strategy jointly minimizes operational costs and carbon emissions, creating a carbon-aware cost-effective framework for data center integration in the electricity day-ahead market. The method is evaluated on a study case comparing a conventional time-of-use supply scheme with the proposed custom power purchase agreement, showing a potential 22\% cost reduction, thus highlighting financial opportunities for small-scale data centers day-ahead electricity market participation. Two additional case studies illustrate the marginal effects of: (i) data center flexible workload on energy costs and (ii) virtual de-rating of grid transfer capacity.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.48550/arxiv.2605.02312first seen 2026-07-24 06:50:18
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