#6034. Fluid temperature predictions of geothermal borefields using load estimations via state observers

July 2026publication date
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Journal’s subject area:
Architecture;
Modeling and Simulation;
Building and Construction;
Computer Science Applications;
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Abstract:
Fluid temperature predictions of geothermal borefields usually involve temporal superposition of its characteristic g-function, using load aggregation schemes to reduce computational times. Assuming that the ground has linear properties, it can be modelled as a linear state-space system where the states are the aggregated loads. However, the application and accuracy of these models is compromised when the borefield is already operating and its load history is not registered or there are gaps in the data. This paper assesses the performance of state observers to estimate the borefield load history to obtain accurate fluid predictions.
Keywords:
fluid temperature prediction; Geothermal modelling; Kalman filter; load estimation; moving horizon estimation; state observers

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