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Model Predictive Control for Dynamic Hydraulic Balancing in Building Radiator Heating Systems: Modeling, Design, and Experimental Validation — arXiv:2609.08708

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.08708
License (as archived): CC0-1.0
Archived: 2026-10-16T14:29:59.723Z
SHA-256 of the archived text: 19a1f56e91ccdec2913d14dcda7a8c91d8e3984fcec2c9e107a02a1220c9aedd
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How to cite

Model Predictive Control for Dynamic Hydraulic Balancing in Building Radiator Heating Systems: Modeling, Design, and Experimental Validation — arXiv:2609.08708 — arXiv (en), https://arxiv.org/abs/2609.08708 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_95f37a005bd2 (Metraipolis archive dc_95f37a005bd2, sha256 19a1f56e91ccdec2913d14dcda7a8c91d8e3984fcec2c9e107a02a1220c9aedd)

BibTeX

@misc{dc95f37a005bd2,
  title = {Model Predictive Control for Dynamic Hydraulic Balancing in Building Radiator Heating Systems: Modeling, Design, and Experimental Validation — arXiv:2609.08708},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.08708},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_95f37a005bd2; sha256 19a1f56e91ccdec2913d14dcda7a8c91d8e3984fcec2c9e107a02a1220c9aedd},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.08708. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Hydronic radiator systems are among the most widely used heating systems in buildings. In the literature, radiator heat outputs are often assumed to be independent of one another and arbitrarily adjustable in time when designing controllers. However, in practice, radiators are supplied by one or multiple common heat sources and are hydraulically coupled through the water circulation system. Maintaining occupant comfort in multi-zone buildings therefore requires not only an appropriate supply temperature but also proper hydraulic balancing to distribute the available water flow according to the heating demand of each zone. To this end, we develop a grey-box thermal model that captures the hydraulic interactions among radiators and the effects of radiator valves, circulation pumps, and heat sources. In a real building, we show that accounting for hydraulic interactions reduces the root mean square error (RMSE) between the measured and modeled zone temperatures by approximately 11% compared with a model that neglects these interactions. Additionally, we integrate the developed model into a model predictive control (MPC) framework for dynamic hydraulic balancing that jointly optimizes valve openings and the supply temperature to maintain thermal comfort in each zone while reducing energy consumption. Through both real-world experiments and numerical case studies, we demonstrate that, compared with existing MPC formulations that neglect hydraulic interactions or do not control radiator valves, the proposed MPC reduces comfort-range violations by at least 27% while requiring a similar or even lower cumulative supply temperature.

Tema degli esploratori: matematica e informatica teorica (retro-catalogo arXiv: annunci del 2026-09-09 in math.OC).
Categorie arXiv: Systems and Control (eess.SY) ; Optimization and Control (math.OC).
Pagina del lavoro: https://arxiv.org/abs/2609.08708 — 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 2026-10-16T14:09:21.771Z dalla pagina https://arxiv.org/catchup/math.OC/2026-09-09?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).