A lightweight numerical model for predictive control of borehole thermal energy storages

Fuente: arXiv
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Hauptverfasser: van Randenborgh, Johannes, Daniel, Steffen, Darup, Moritz Schulze
Format: Preprint
Veröffentlicht: 2025
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author van Randenborgh, Johannes
Daniel, Steffen
Darup, Moritz Schulze
author_facet van Randenborgh, Johannes
Daniel, Steffen
Darup, Moritz Schulze
contents Borehole thermal energy storage (BTES) can reduce the operation of fossil fuel-based heating, ventilation, and air conditioning systems for buildings. With BTES, thermal energy is stored via a borehole heat exchanger in the ground. Model predictive control (MPC) may maximize the use of BTES by achieving a dynamic interaction between the building and BTES. However, modeling BTES for MPC is challenging, and a trade-off between model accuracy and an easy-to-solve optimal control problem (OCP) must be found. This manuscript presents an accurate numerical model yielding an easy-to-solve linear-quadratic OCP.
format Preprint
id arxiv_https___arxiv_org_abs_2507_20974
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A lightweight numerical model for predictive control of borehole thermal energy storages
van Randenborgh, Johannes
Daniel, Steffen
Darup, Moritz Schulze
Systems and Control
Borehole thermal energy storage (BTES) can reduce the operation of fossil fuel-based heating, ventilation, and air conditioning systems for buildings. With BTES, thermal energy is stored via a borehole heat exchanger in the ground. Model predictive control (MPC) may maximize the use of BTES by achieving a dynamic interaction between the building and BTES. However, modeling BTES for MPC is challenging, and a trade-off between model accuracy and an easy-to-solve optimal control problem (OCP) must be found. This manuscript presents an accurate numerical model yielding an easy-to-solve linear-quadratic OCP.
title A lightweight numerical model for predictive control of borehole thermal energy storages
topic Systems and Control
url https://arxiv.org/abs/2507.20974