Dynamic Numerical Model for a Geothermal Well

Francesco Calise, Francesco Cappiello, Luca Cimmino

2023

Abstract

The paper proposed a detailed mathematical model that uses the TRNSYS environment to dynamically assess the thermodynamic performance of a geothermal well. This research aims to provide a fast and reliable dynamic mathematical model able to mimic the real-time operation of a geothermal well, given the depth of the well and the temperature of the surrounding soil. In addition, this model can simulate the energy performance of the downhole heat exchangers installed into the geothermal well. The results of the model indicate that the proposed model can accurately assess and simulate the performance of the geothermal well also including the energy performance of the downhole heat exchangers. In addition, this model may be exploited for dimensioning proper control strategies able to manage the temperature of the downhole heat exchanger.

Paper Citation

in Harvard Style

Calise F., Cappiello F. and Cimmino L. (2023). Dynamic Numerical Model for a Geothermal Well. In Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-651-4, SciTePress, pages 144-150. DOI: 10.5220/0012007900003491

in Bibtex Style

@conference{smartgreens23,
author={Francesco Calise and Francesco Cappiello and Luca Cimmino},
title={Dynamic Numerical Model for a Geothermal Well},
booktitle={Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2023},
pages={144-150},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012007900003491},
isbn={978-989-758-651-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Dynamic Numerical Model for a Geothermal Well
SN - 978-989-758-651-4
AU - Calise F.
AU - Cappiello F.
AU - Cimmino L.
PY - 2023
SP - 144
EP - 150
DO - 10.5220/0012007900003491
PB - SciTePress