持続可能性を最適化するための制御共同設計フレームワーク：マイクログリッド駆動データセンターへの応用
A Control Co-Design Framework to Optimize Sustainability with Application to Microgrid-Driven Data Centers (原題)
Tania Rifat Jahan, Donald J. Docimo
🤖 gxceed AI 要約
日本語
本論文は、エネルギーシステムの物理設計と制御パラメータを同時に最適化する持続可能性中心の制御共同設計（CCD）フレームワークを提案する。製造・運用・廃棄のライフサイクル段階で持続可能性指標を定義し、マイクログリッド駆動のデータセンターに適用。製造時のGHG排出が運用時を上回る可能性や、ベースライン設計と比較した環境改善を示す。
English
This paper proposes a sustainability-centric control co-design (CCD) framework that simultaneously optimizes physical plant design and controller parameters for energy systems. It defines sustainability metrics across manufacturing, operation, and disposal lifecycle stages and applies the framework to a microgrid-driven data center, revealing that manufacturing emissions can dominate operational emissions and achieving substantial environmental improvements over baseline designs.
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は電力消費増大とGHG排出削減が課題であり、本フレームワークは設計段階からの環境配慮を可能にする。再エネ調達や省エネ対策に加え、ライフサイクル全体での排出削減を目指す企業にとって有用。
In the global GX context
Globally, data centers are under pressure to reduce carbon footprints, and this framework offers a systematic method to optimize both design and control for sustainability. It aligns with broader energy transition goals and can inform corporate strategies for reducing operational and embodied emissions.
👥 読者別の含意
🔬研究者:Provides a novel CCD framework for energy systems with lifecycle-based sustainability metrics, applicable to microgrid and data center optimization.
🏢実務担当者:Offers a design methodology to reduce GHG emissions and improve sustainability in data center and microgrid projects, potentially lowering energy costs and enhancing ESG performance.
🏛政策担当者:Highlights the importance of considering manufacturing and disposal phases in energy system sustainability, which could inform regulations or incentives for lifecycle-based environmental impact.
📄 Abstract（原文）
This work studies the optimization of physical plant characteristics and controller parameters for sustainability. Environmental sustainability is strongly correlated with the development and operation of energy systems, with data centers as the preeminent modern example. Data centers, and the grid technologies that provide their power, consume nonnegligible amounts of global energy and pose a risk to increase greenhouse gas (GHG) emissions and electronic waste. Addressing such issues requires improved plant design and control strategies, often approached through optimization-based methods. However, there are noticeable gaps regarding data center and microgrid design: (i) simultaneous optimization of plant and controller features is rarely explored, and (ii) sustainability criteria are not emphasized. This work addresses these gaps by establishing a generalized, sustainability-centric control co-design (CCD) framework for energy systems. Uniquely, the CCD framework defines and categorizes sustainability metrics into three lifecycle stages - manufacturing, operation, and disposal - supporting optimization and comparative analysis of the metrics for different design options. To exemplify its use, the CCD framework is applied to a microgrid-driven data center system, providing a family of sustainability metrics correlated to plant and controller parameters. The analysis enabled by the framework provides insights into the CCD of microgrids and data centers, such as that GHG-equivalent emissions from manufacturing of components can dwarf those generated during operation of the system. The system designs identified by the proposed framework show substantial improvements to environmental sustainability categories as compared to designs identified through baseline procedures.
🔗 Provenance — このレコードを発見したソース
- arXiv https://arxiv.org/abs/2609.01912first seen 2026-09-04 04:11:06 · last seen 2026-09-08 04:10:44
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