A Novel Analytical-ANN Hybrid Model for Borehole Heat Exchanger

Anjan Rao Puttige, Staffan Andersson, Ronny Östin and Thomas Olofsson
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Anjan Rao Puttige: Department of Applied Physics and Electronics, Umeå University, 90187 Umeå, Sweden
Staffan Andersson: Department of Applied Physics and Electronics, Umeå University, 90187 Umeå, Sweden
Ronny Östin: Department of Applied Physics and Electronics, Umeå University, 90187 Umeå, Sweden
Thomas Olofsson: Department of Applied Physics and Electronics, Umeå University, 90187 Umeå, Sweden

Energies, 2020, vol. 13, issue 23, 1-19

Abstract: Optimizing the operation of ground source heat pumps requires simulation of both short-term and long-term response of the borehole heat exchanger. However, the current physical and neural network based models are not suited to handle the large range of time scales, especially for large borehole fields. In this study, we present a hybrid model for long-term simulation of BHE with high resolution in time. The model uses an analytical model with low time resolution to guide an artificial neural network model with high time resolution. We trained, tuned, and tested the hybrid model using measured data from a ground source heat pump in real operation. The performance of the hybrid model is compared with an analytical model, a calibrated analytical model, and three different types of neural network models. The hybrid model has a relative RMSE of 6% for the testing period compared to 22%, 14%, and 12% respectively for the analytical model, the calibrated analytical model, and the best of the three investigated neural network models. The hybrid model also has a reasonable computational time and was also found to be robust with regard to the model parameters used by the analytical model.

Keywords: borehole heat exchanger; ground source heat pump; analytical model; artificial neural network; hybrid model; monitored data (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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