Sequential long-term optimization of shallow geothermal systems under descriptive uncertainty and dynamic variation of heating demand

Soltan Mohammadi, Hesam; Ringel, Lisa Maria; de Paly, Michael; Bayer, Peter

doi:10.1016/j.geothermics.2024.103021

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Geothermics

2024

DOI: 10.1016/j.geothermics.2024.103021

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Sequential long-term optimization of shallow geothermal systems under descriptive uncertainty and dynamic variation of heating demand

Hesam Soltan Mohammadi,

Lisa Maria Ringel,

Michael de Paly

et al.

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2024

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Cited by 2 publications

References 57 publications

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Adaptive management of borehole heat exchanger fields under transient groundwater flow conditions

Soltan Mohammadi,

Ringel,

Bott

et al. 2024

Renewable Energy

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Adaptive management of borehole heat exchanger fields under transient groundwater flow conditions

Soltan Mohammadi,

Ringel,

Bott

et al. 2024

Renewable Energy

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Comparison of simulation tools for optimizing borehole heat exchanger field operation

Heim,

Stoffel,

Düber

et al. 2024

Geotherm Energy

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Model predictive control (MPC) is a promising approach for optimizing the performance of borehole heat exchangers (BHEs) in ground-source heat pump systems. The central element of MPC is the forward model that predicts the thermal dynamics in the ground. In this work, we validate the prediction accuracy of four BHE modeling approaches against real-world measurement data across various operational events and timescales. We simulate the fluid temperature leaving a BHE using a fully discretized 3-D numerical model, a resistance–capacitance model, a g-function model, and a hybrid model. The simulated temperatures are compared to measured temperatures using three validation metrics that quantify temperature offset, noise, and accuracy. The main reason for a mismatch between measured and modeled temperatures is a temperature offset of the simulated temperature. To remove this effect, the models were calibrated for their most sensitive parameter, the ground temperature, and their prediction accuracy over 4 years was evaluated. Thereby, model calibration seems to be a viable solution to account for an unknown load history. The results show that the resistance–capacitance model provides decent predictions in the short term and the g-function model in the long term. However, both models are strongly dependent on accurate calibration. The hybrid model provides the most accurate short and long-term predictions and is less dependent on calibration. Still, its integration into optimization syntax poses challenges compared to the other models. Although not yet applied in model predictive control, the hybrid model stands out as a promising choice for optimizing BHE field operations across various timescales.

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Sequential long-term optimization of shallow geothermal systems under descriptive uncertainty and dynamic variation of heating demand

Cited by 2 publications

References 57 publications

Adaptive management of borehole heat exchanger fields under transient groundwater flow conditions

Adaptive management of borehole heat exchanger fields under transient groundwater flow conditions

Comparison of simulation tools for optimizing borehole heat exchanger field operation

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