Liquid Cooling and AI Data Center Daily | 2026-08-19
A daily English mirror of liquid cooling, AI data center efficiency, research papers, products, policy, financing, and supply-chain signals.
1. Executive brief
This English edition mirrors the same public-source dataset used by the Chinese daily report for 2026-08-19.
- Collection window: 2026-08-18 08:00 北京时间 - 2026-08-19 08:00 北京时间.
- Coverage snapshot: 8 industry items; 1 technology items; 8 paper or white-paper items; 8 video signals.
- Current hot topics: 智算中心 CapEx/扩建, 电力并网与能源约束, AI 芯片供给与交付, PUE/WUE 与能效优化.
- The heat score is 10/10 and should be read as a source-density signal, not as an investment indicator.
All claims should be verified against the original source links listed at the end of this report.
Academic and Industry Briefs
Papers, videos, industry updates, policy, financing, and projects are compressed into scannable tags with a title, summary, and source link.
Academic
Research papers, methods, research-oriented videos, and academic signals.
Real-Time Control of Sustainable Data Centers: A Two-Layer Model Predicti…
This paper proposes a two-layer model predictive control (MPC) framework for the real-time operation of data centers integrated wit…
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Real-Time Control of Sustainable Data Centers: A Two-Layer Model Predictive Control Framework with Workload Flexibility and Heat Recovery
- Published
- 2026-08-17
- Authors
- Wenyu Liu, Enea Figini, Mario Paolone
- Theme
- 余热回收
Abstract
This paper proposes a two-layer model predictive control (MPC) framework for the real-time operation of data centers integrated with on-site photovoltaic generation, battery energy storage, waste heat recovery, and district heating. The upper layer employs scenario-based stochastic optimization to jointly optimize intraday market participation, workload scheduling, and energy management under uncertainty. The lower layer adopts an adaptive tube-based MPC strategy that compensates short-term disturbances while tracking the dispatch references given by the upper layer. The framework further integrates multi-horizon forecasting to support real-time decision making. Microservice-based simulation studies under representative clear-sky and overcast operating conditions demonstrate that the proposed framework accurately tracks dispatch plans despite fast photovoltaic and workload fluctuations. Compared with single-layer control strategies, the adaptive lower-layer controller substantially reduces real-time dispatch deviations and the associated imbalance costs. In addition, the proposed framework naturally adapts to seasonal operating conditions and responds to carbon-aware operating signals, offering a practical approach for economically efficient, sustainable, and grid-supportive operation of future data centers.
Chinese interpretation
背景：AI 数据中心负载、功率密度和能源约束同步上升，余热回收、热泵耦合和二次能源利用正在成为智算中心设计的关键变量。问题：论文聚焦现有方案在效率、可靠性或工程协同上的瓶颈。方法：摘要显示作者采用建模优化、调度分析或算法评估，把运行负载、冷却/能源系统和基础设施约束放在同一分析框架中。结果：研究重点指向AI 负载波动对电网设备寿命和调频边界的影响。意义：对日报读者而言，它可用于判断数据中心余热能否从成本项转化为能源资产。仍需结合全文实验条件、样本范围和成本假设核验。
Reference
Wenyu Liu, Enea Figini, Mario Paolone. Real-Time Control of Sustainable Data Centers: A Two-Layer Model Predictive Control Framework with Workload Flexibility and Heat Recovery[J/OL]. (2026-08-17)[2026-08-19]. http://arxiv.org/abs/2608.16432v1.
Machine Learning Guided Cooling System Optimization for Data Center
Effective data
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Machine Learning Guided Cooling System Optimization for Data Center
- Published
- 2026-08-06
- Authors
- Shrenik Jadhav, Zheng Liu
- Theme
- 热管理与液冷
Abstract
Effective data
Chinese interpretation
背景：AI 数据中心负载、功率密度和能源约束同步上升，液冷、热管理和数据中心能效正在成为智算中心设计的关键变量。问题：论文聚焦现有方案在效率、可靠性或工程协同上的瓶颈。方法：摘要显示作者采用建模优化、调度分析或算法评估，把运行负载、冷却/能源系统和基础设施约束放在同一分析框架中。结果：研究重点指向冷却效率、能源利用或运维策略的改进方向。意义：对日报读者而言，它可用于判断液冷方案、热管理路线和高密度部署节奏。仍需结合全文实验条件、样本范围和成本假设核验。
Reference
Shrenik Jadhav, Zheng Liu. Machine Learning Guided Cooling System Optimization for Data Center[J/OL]. (2026-08-06)[2026-08-19]. https://arxiv.org/abs/2601.02275.
PowerAtlas: Towards Electricity - Computing Co-Scheduling for Power Syste…
The rapid growth of AI workloads is turning data
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PowerAtlas: Towards Electricity - Computing Co-Scheduling for Power Systems
- Published
- 2026-07-29
- Authors
- Kaiwen Jiang, Siya Xu, Ziyue Zhu, Chao Yang, Anh Tuan Luu, Haoran Luo
- Theme
- 算电协同
Abstract
The rapid growth of AI workloads is turning data
Chinese interpretation
背景：AI 数据中心负载、功率密度和能源约束同步上升，算力负载与电网侧资源的协同调度正在成为智算中心设计的关键变量。问题：论文聚焦现有方案在效率、可靠性或工程协同上的瓶颈。方法：摘要显示作者采用建模优化、调度分析或算法评估，把运行负载、冷却/能源系统和基础设施约束放在同一分析框架中。结果：研究重点指向跨地域数据中心负载与电力资源之间的调度关系。意义：对日报读者而言，它可用于判断智算中心建设是否受电网容量、负载波动和调度机制约束。仍需结合全文实验条件、样本范围和成本假设核验。
Reference
Kaiwen Jiang, Siya Xu, Ziyue Zhu, 等. PowerAtlas: Towards Electricity - Computing Co-Scheduling for Power Systems[J/OL]. (2026-07-29)[2026-08-19]. https://arxiv.org/abs/2607.26710.
Integrating Energy Efficiency into Software Development: Developer Perspe…
In the context of the growing energy
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Integrating Energy Efficiency into Software Development: Developer Perspectives and Requirements
- Published
- 2026-07-24
- Authors
- Anika Hennig, Leonie Schulte, Philipp M. Zähl, Mathias Eggert
- Theme
- 能效优化
Abstract
In the context of the growing energy
Chinese interpretation
背景：AI 数据中心负载、功率密度和能源约束同步上升，PUE/WUE、能效指标和运营成本控制正在成为智算中心设计的关键变量。问题：论文聚焦现有方案在效率、可靠性或工程协同上的瓶颈。方法：摘要显示作者采用文献摘要中的模型、实验或案例分析，把运行负载、冷却/能源系统和基础设施约束放在同一分析框架中。结果：研究重点指向能效评价口径、运营指标和优化目标的系统化梳理。意义：对日报读者而言，它可用于判断不同能效指标是否真实反映节能和成本收益。仍需结合全文实验条件、样本范围和成本假设核验。
Reference
Anika Hennig, Leonie Schulte, Philipp M. Zähl, 等. Integrating Energy Efficiency into Software Development: Developer Perspectives and Requirements[J/OL]. (2026-07-24)[2026-08-19]. https://arxiv.org/abs/2607.22168.
InFactPlanner: Planning Sustainable Geo-Distributed LLM Data Centers
The rapid growth of LLM inference is shifting sustainability concerns from one-time training to continuous serving, where infrastru…
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InFactPlanner: Planning Sustainable Geo-Distributed LLM Data Centers
- Published
- 2026-08-13
- Authors
- Nicoletta Tsiopani, Moysis Symeonides, George Pallis, Marios D. Dikaiakos
- Theme
- 热管理与液冷
Abstract
The rapid growth of LLM inference is shifting sustainability concerns from one-time training to continuous serving, where infrastructure decisions shape energy
Chinese interpretation
背景：AI 数据中心负载、功率密度和能源约束同步上升，液冷、热管理和数据中心能效正在成为智算中心设计的关键变量。问题：论文聚焦现有方案在效率、可靠性或工程协同上的瓶颈。方法：摘要显示作者采用文献摘要中的模型、实验或案例分析，把运行负载、冷却/能源系统和基础设施约束放在同一分析框架中。结果：研究重点指向跨地域数据中心负载与电力资源之间的调度关系。意义：对日报读者而言，它可用于判断液冷方案、热管理路线和高密度部署节奏。仍需结合全文实验条件、样本范围和成本假设核验。
Reference
Nicoletta Tsiopani, Moysis Symeonides, George Pallis, 等. InFactPlanner: Planning Sustainable Geo-Distributed LLM Data Centers[J/OL]. (2026-08-13)[2026-08-19]. https://arxiv.org/abs/2608.12915.
Techno-Economic Boundary Analysis of Small Modular Reactor Cogeneration f…
Hyperscale data centers are adding firm, high-utilization demand faster than grids can serve it, renewing interest in colocating th…
Expand
Techno-Economic Boundary Analysis of Small Modular Reactor Cogeneration for Hyperscale Data Center IT and Cooling Loads
- Published
- 2026-08-11
- Authors
- Honglin Li, Buxin She, Jie Zhang
- Theme
- 算电协同
Abstract
Hyperscale data centers are adding firm, high-utilization demand faster than grids can serve it, renewing interest in colocating them with small modular reactors. Such a plant could earn revenue in two ways, selling low-carbon power and diverting steam to absorption chillers that serve a cooling load accounting for 20-40% of facility electricity use, but neither revenue stream has been priced across the conditions that must coincide. Here we co-optimize reactor dispatch, steam extraction, absorption cooling and grid exchange hourly for a 200 MW$_\mathrm{e}$ data center in the Electric Reliability Council of Texas (ERCOT) region, across 109 runs spanning capital, market, policy, financing and cooling efficiency. At 2023 mid-range reactor capital, the nuclear configurations cost 49-62% more than grid supply even with the Section 45Y production tax credit. The viable region opens near \$5,000 kW$_\mathrm{e}^{-1}$, and nth-of-a-kind capital makes them 77-89% cheaper in 2023, though between parity and 34% more expensive in the low-price 2024 market. A carbon price of \$53-64 tCO$_2^{-1}$ closes the mid-range gap under hourly export crediting. Absorption cooling is dispatched in response to hourly electricity prices and supplies 38% of annual cooling, at an added cost of \$9.2 million yr$^{-1}$ relative to the reactor-only plant; that gap closes at an installed absorption cost of \$60 kW$_\mathrm{c}^{-1}$ at baseline efficiency and \$570 kW$_\mathrm{c}^{-1}$ on a legacy-efficiency campus, against surveyed commercial prices of \$450-1,200 kW$_\mathrm{c}^{-1}$. Together these results delineate the capital, market and policy conditions under which colocated reactor cogeneration is competitive with grid procurement, and the range over which each condition moves the outcome.
Chinese interpretation
背景：AI 数据中心负载、功率密度和能源约束同步上升，算力负载与电网侧资源的协同调度正在成为智算中心设计的关键变量。问题：论文聚焦现有方案在效率、可靠性或工程协同上的瓶颈。方法：摘要显示作者采用综述归纳和指标比较，把运行负载、冷却/能源系统和基础设施约束放在同一分析框架中。结果：研究重点指向AI 负载波动对电网设备寿命和调频边界的影响。意义：对日报读者而言，它可用于判断智算中心建设是否受电网容量、负载波动和调度机制约束。仍需结合全文实验条件、样本范围和成本假设核验。
Reference
Honglin Li, Buxin She, Jie Zhang. Techno-Economic Boundary Analysis of Small Modular Reactor Cogeneration for Hyperscale Data Center IT and Cooling Loads[J/OL]. (2026-08-11)[2026-08-19]. http://arxiv.org/abs/2608.10999v1.
PowerScale: Energy -Efficient Geo-Distributed Model Training with Federat…
The power demands of large-scale AI
Expand
PowerScale: Energy -Efficient Geo-Distributed Model Training with Federated Datacenter Power
- Published
- 2026-07-28
- Authors
- Talha Mehboob, Zhe Xu, Michael Zink, David Irwin
- Theme
- 热管理与液冷
Abstract
The power demands of large-scale AI
Chinese interpretation
背景：AI 数据中心负载、功率密度和能源约束同步上升，液冷、热管理和数据中心能效正在成为智算中心设计的关键变量。问题：论文聚焦现有方案在效率、可靠性或工程协同上的瓶颈。方法：摘要显示作者采用仿真建模和情景分析，把运行负载、冷却/能源系统和基础设施约束放在同一分析框架中。结果：研究重点指向跨地域数据中心负载与电力资源之间的调度关系。意义：对日报读者而言，它可用于判断液冷方案、热管理路线和高密度部署节奏。仍需结合全文实验条件、样本范围和成本假设核验。
Reference
Talha Mehboob, Zhe Xu, Michael Zink, 等. PowerScale: Energy -Efficient Geo-Distributed Model Training with Federated Datacenter Power[J/OL]. (2026-07-28)[2026-08-19]. https://arxiv.org/abs/2607.25650.
CWind: A Cross-site Router for Large Language Model Inference Serving at …
AI
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CWind: A Cross-site Router for Large Language Model Inference Serving at Renewable Energy Farms
- Published
- 2026-07-21
- Authors
- Tella Rajashekhar Reddy, Atharva Deshmukh, Liangcheng Yu, Chaojie Zhang, Mike Shepperd, Rohan Gandhi, Anjaly Parayil, Srinivasan Iyengar
- Theme
- 热管理与液冷
Abstract
AI
Chinese interpretation
背景：AI 数据中心负载、功率密度和能源约束同步上升，液冷、热管理和数据中心能效正在成为智算中心设计的关键变量。问题：论文聚焦现有方案在效率、可靠性或工程协同上的瓶颈。方法：摘要显示作者采用仿真建模和情景分析，把运行负载、冷却/能源系统和基础设施约束放在同一分析框架中。结果：研究重点指向冷却效率、能源利用或运维策略的改进方向。意义：对日报读者而言，它可用于判断液冷方案、热管理路线和高密度部署节奏。仍需结合全文实验条件、样本范围和成本假设核验。
Reference
Tella Rajashekhar Reddy, Atharva Deshmukh, Liangcheng Yu, 等. CWind: A Cross-site Router for Large Language Model Inference Serving at Renewable Energy Farms[J/OL]. (2026-07-21)[2026-08-19]. https://arxiv.org/abs/2605.23348.
OldAztec: Big Tech Needs Reliable Nuclear Energy
Sift Stack · Query: ACM SIGEnergy data center energy talk。Useful as technical or research context.
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Patrick Laing, CXO 2.0’s Keynote Speaker, Breaks Down AI Transformation &…
CXO 2.0 Conference · Query: AI data center energy conference keynote。Useful as technical or research context.
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SB Energy co-CEO Rich Hossfeld on Nvidia-backed data center for OpenAI
CNBC Television · Query: ACM SIGEnergy data center energy talk。Useful as technical or research context.
Expand
Solving the Data Centre Energy Crisis | Vittorio Pierangeli, Rolls-Royce …
Data Centre Magazine · Query: AI data center energy conference keynote。Useful as technical or research context.
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The Great Progression, 2025 to 2050, a Full Keynote on an AI & Clean Ener…
Reinvent Futures · Query: AI data center energy conference keynote。Useful as technical or research context.
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WeCan'22: Brainstorming Session with the Audience - Minghua, George, Davi…
Noman Bashir · Query: ACM SIGEnergy data center energy talk。Useful as technical or research context.
Expand
X-energy founder Kam Ghaffarian says AWS and tech titans are targeting sp…
Goal Mint Media · Query: ACM SIGEnergy data center energy talk。Useful as technical or research context.
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智算中心 CapEx/扩建
Same-source item from the Chinese report. Verify details against the original linked source: 智算中心 CapEx/扩建
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电力并网与能源约束
Same-source item from the Chinese report. Verify details against the original linked source: 电力并网与能源约束
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AI 芯片供给与交付
Same-source item from the Chinese report. Verify details against the original linked source: AI 芯片供给与交付
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Industry
Industry news, products, policy, financing, projects, and market-oriented videos.
智算中心/数据中心建设进展：Data Center Dynamics 发布相关报道（原文标题：Application filed for data…
Same-source item from the Chinese report. Verify details against the original linked source: 智算中心/数据中心建设进展：Data Center Dynamics 发布相…
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电力与能源约束观察：Data Center Dynamics 发布相关报道（原文标题：ABB launches ultracapacitor st…
Same-source item from the Chinese report. Verify details against the original linked source: 电力与能源约束观察：Data Center Dynamics 发布相关报道（…
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智算中心/数据中心建设进展：Data Center Dynamics 发布相关报道（原文标题：Globalinx buys land in Vir…
Same-source item from the Chinese report. Verify details against the original linked source: 智算中心/数据中心建设进展：Data Center Dynamics 发布相…
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智算中心/数据中心建设进展：Data Center Dynamics 发布相关报道，涉及 £300（原文标题：DataVita secures £…
Same-source item from the Chinese report. Verify details against the original linked source: 智算中心/数据中心建设进展：Data Center Dynamics 发布相…
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数据中心产业动态：Data Center Dynamics 发布相关报道，涉及 13GW（原文标题：CBRE: Europe data cente…
Same-source item from the Chinese report. Verify details against the original linked source: 数据中心产业动态：Data Center Dynamics 发布相关报道，涉…
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数据中心产业动态：Data Center Dynamics 发布相关报道（原文标题：Turkish real estate investment …
Same-source item from the Chinese report. Verify details against the original linked source: 数据中心产业动态：Data Center Dynamics 发布相关报道（原…
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数据中心产业动态：Data Center Dynamics 发布相关报道（原文标题：DayOne partners with Cortical L…
Same-source item from the Chinese report. Verify details against the original linked source: 数据中心产业动态：Data Center Dynamics 发布相关报道（原…
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电力与能源约束观察：Data Center Knowledge 发布相关报道（原文标题：Data Center Hardware Highligh…
Same-source item from the Chinese report. Verify details against the original linked source: 电力与能源约束观察：Data Center Knowledge 发布相关报道…
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AI 算力基础设施动态：HPCwire 发布相关报道，涉及 $700 million（原文标题：What’s Hot Now: Custom AI…
Same-source item from the Chinese report. Verify details against the original linked source: AI 算力基础设施动态：HPCwire 发布相关报道，涉及 $700 mil…
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项目、采购或专利线索：HPCwire 发布相关报道（原文标题：Coherent Begins Customer Sampling of 300mm…
Same-source item from the Chinese report. Verify details against the original linked source: 项目、采购或专利线索：HPCwire 发布相关报道（原文标题：Coheren…
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Data Center and AI Infrastructure in Arizona: A Knowledge Exchange | Citi…
ASU Energy Forward · Query: AI infrastructure datacenter panel discussion。Useful for product, market, or deployment context.
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产业热度指数 10/10
Same-source item from the Chinese report. Verify details against the original linked source: 产业热度指数 10/10
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4. Video signals
OldAztec: Big Tech Needs Reliable Nuclear Energy
学术讲座 · Sift Stack · Query: ACM SIGEnergy data center energy talk
Open on YouTubePatrick Laing, CXO 2.0’s Keynote Speaker, Breaks Down AI Transformation & Data Center Myths
学术会议报告 · CXO 2.0 Conference · Query: AI data center energy conference keynote
Open on YouTubeSB Energy co-CEO Rich Hossfeld on Nvidia-backed data center for OpenAI
学术讲座 · CNBC Television · Query: ACM SIGEnergy data center energy talk
Open on YouTubeSolving the Data Centre Energy Crisis | Vittorio Pierangeli, Rolls-Royce at Data Centre LIVE 2026
学术会议报告 · Data Centre Magazine · Query: AI data center energy conference keynote
Open on YouTubeThe Great Progression, 2025 to 2050, a Full Keynote on an AI & Clean Energy Future by Peter Leyden
学术会议报告 · Reinvent Futures · Query: AI data center energy conference keynote
Open on YouTubeWeCan'22: Brainstorming Session with the Audience - Minghua, George, David, and Jay
学术讲座 · Noman Bashir · Query: ACM SIGEnergy data center energy talk
Open on YouTubeX-energy founder Kam Ghaffarian says AWS and tech titans are targeting space for future AI data.
学术讲座 · Goal Mint Media · Query: ACM SIGEnergy data center energy talk
Open on YouTubeData Center and AI Infrastructure in Arizona: A Knowledge Exchange | Cities Panel w/ Paul Westerhoff
专家圆桌 · ASU Energy Forward · Query: AI infrastructure datacenter panel discussion
Open on YouTubeSources
Collection notes
- 公开 RSS/Atom：The Register：未检索到符合条件的高相关条目。
- 公开 RSS/Atom：ServeTheHome：未检索到符合条件的高相关条目。
- 公开 RSS/Atom：NVIDIA Blog：未检索到符合条件的高相关条目。
- 论文池：已从本地论文池读取 25 条候选；池更新时间 2026-08-19 08:07。
- 论文推荐：已启用 latest 模式，优先输出本期候选池中发布时间最新的论文。
- When optional automation services are unavailable, this page uses traceable public sources and conservative rule-based summaries only; unverifiable facts are not filled in.