THERMAL SCIENCE

International Scientific Journal

Thermal Science - Online First

Shaopei Duan

,

Yanchun Guo

,

Yan Wang

,

Chunhua Liu

,

Yuping Li

,

Jiapu Yuan

online first only

A comprehensive review on the application progress of shallow geothermal energy utilization and artificial neural network in detection technology

ABSTRACT
Shallow geothermal energy refers to geothermal resources within 200m below the surface, which has the advantages of stable temperature, strong sustainability, environmental protection and economy, and has been widely used by residents in various regions since ancient times. With the acceleration of industrialization and urbanization and the further expansion of human demand for energy, the development and utilization of shallow geothermal energy has gradually moved from the surface to the deep. In this process, researchers have conducted in-depth research on geothermal energy heat exchange equipment, temperature measurement and other technologies, and introduced artificial intelligence to predict underground temperature and humidity, and made a lot of progress. Focusing on the ground source side of shallow geothermal energy, this paper comprehensively expounds the research progress in the past 10 years from the aspects of the observability of geothermal energy utilization, the thermal response testing technology of buried pipe, the heat transfer model and the application of artificial intelligence, summarizes the difficulties at this stage, and points out the direction of future solutions.
KEYWORDS
shallow geothermal energy, thermal response test, Artificial Neural Network, numerical simulation
PAPER SUBMITTED: 2025-05-23
PAPER REVISED: 2025-07-20
PAPER ACCEPTED: 2025-07-28
PUBLISHED ONLINE: 2025-09-13
DOI REFERENCE: https://doi.org/10.2298/TSCI250523164D
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A comprehensive review on the application progress of shallow geothermal energy utilization and artificial neural network in detection technology