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Real-Time Control of Sustainable Data Centers: A Two-Layer Model Predictive Control Framework with Workload Flexibility and Heat Recovery — arXiv:2608.16432

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.16432
License (as archived): CC0-1.0
Archived: 2026-10-19T02:13:29.775Z
SHA-256 of the archived text: 444b4b349d91681e4c0a6200d378ddc7a5d5c47bd7ae1861ebce721e87b23ab4
Stable URL of this page: https://metraipolis.com/documento/dc_7cd4956dffcd

How to cite

Real-Time Control of Sustainable Data Centers: A Two-Layer Model Predictive Control Framework with Workload Flexibility and Heat Recovery — arXiv:2608.16432 — arXiv (en), https://arxiv.org/abs/2608.16432 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_7cd4956dffcd (Metraipolis archive dc_7cd4956dffcd, sha256 444b4b349d91681e4c0a6200d378ddc7a5d5c47bd7ae1861ebce721e87b23ab4)

BibTeX

@misc{dc7cd4956dffcd,
  title = {Real-Time Control of Sustainable Data Centers: A Two-Layer Model Predictive Control Framework with Workload Flexibility and Heat Recovery — arXiv:2608.16432},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.16432},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_7cd4956dffcd; sha256 444b4b349d91681e4c0a6200d378ddc7a5d5c47bd7ae1861ebce721e87b23ab4},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.16432. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

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.

Tema degli esploratori: calcolo e infrastrutture (retro-catalogo arXiv: annunci del 2026-08-18 in eess.SY).
Categorie arXiv: Systems and Control (eess.SY).
Pagina del lavoro: https://arxiv.org/abs/2608.16432 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-19T01:24:59.566Z dalla pagina https://arxiv.org/catchup/eess.SY/2026-08-18?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).