廃熱回収と炭素回収を統合したデータセンター統合エネルギーシステムの二段階ロバスト最適構成
Two-stage robust optimal configuration of a data center integrated energy system with waste heat recovery and carbon capture (原題)
Mingping Liu, Qingping Lai, Suhui Deng, Ziwei Zhu
🤖 gxceed AI 要約
日本語
データセンターの廃熱を高温ヒートポンプで昇温し、炭素回収の再生プロセスへ供給する新アーキテクチャを提案。計算負荷と電力・熱・冷熱を連動させる統合デマンドレスポンスと、多面体不確実性集合に基づく二段階ロバスト最適化を組み合わせる。ケース分析では総コスト14.02%減、炭素排出43.38%減、エネルギー効率7.4%向上、再エネ利用率15.8%増を供給信頼性100%で達成した。
English
Proposes a data center–carbon capture integrated energy system where a high-temperature heat pump upgrades waste heat to drive carbon capture regeneration. A unified demand response coordinates computing workloads with electricity, heating and cooling loads, and a two-stage robust optimization handles uncertainties in renewables, demand and workloads. Case studies show 14.02% lower total cost, 43.38% lower emissions, 7.4% higher efficiency and 15.8% higher renewable utilization at 100% supply reliability.
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
データセンターの電力消費と排出増大は日本でも喫緊の課題であり、廃熱利用とCCSを組み合わせた計画手法は、国内の脱炭素電源調達やScope2削減戦略を検討する事業者にとって参考になる。ただし制度・政策面の含意は限定的。
In the global GX context
Data centers are a fast-growing emissions source globally, and integrating waste-heat recovery with carbon capture offers a planning template relevant to corporate Scope 2 strategies and grid-constrained decarbonization. The robust optimization approach speaks to uncertainty-aware investment planning under renewable variability.
👥 読者別の含意
🔬研究者:廃熱駆動CCSとロバスト最適化を組み合わせたエネルギーシステム計画の定式化として参照価値が高い。
🏢実務担当者:データセンターの廃熱利用と炭素回収を組み込んだ設備計画・コスト削減の検討に活用できる。
🏛政策担当者:データセンターのエネルギー効率・排出規制や再エネ利用率目標の設計に示唆を与える。
📄 Abstract（原文）
The rapid expansion of the digital economy has intensified the challenges of high energy consumption and carbon emissions associated with data centers, making the development of data center integrated energy systems (DCIES) a critical pathway toward a low-carbon transition. However, achieving deep decarbonization in DCIES while ensuring the efficient and economic utilization of data center waste heat remains a significant challenge. To address these issues, this study proposes a two-stage robust optimal configuration framework for a data center–carbon capture integrated energy system (DC-CC-IES). First, a novel waste heat recovery and utilization architecture is developed, in which a high-temperature heat pump upgrades low-grade waste heat to supply the regeneration process of carbon capture, thereby enabling waste-heat-driven decarbonization. Second, a unified integrated demand response mechanism is established to coordinate computing workloads with electricity, heating, and cooling loads, significantly enhancing system flexibility. Finally, to address uncertainties in renewable generation, multi-energy demands, and data center workloads, a two-stage robust optimization model is formulated based on a polyhedral uncertainty set constructed via Latin hypercube sampling. Case studies demonstrate that, compared with the baseline scenario, the proposed approach reduces total costs by 14.02%, decreases carbon emissions by 43.38%, improves energy efficiency by 7.4%, and increases renewable energy utilization by 15.8%, while ensuring 100% energy supply reliability. Overall, this work provides a novel system architecture and a robust planning methodology to support the low-carbon and sustainable development of DCIES under multiple uncertainties.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.csite.2026.108719first seen 2026-11-12 05:00:34 · last seen 2026-11-13 05:11:52
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