A NOVEL FULL-STACK SIMULATION TOOL FOR RAPID MODELING OF THERMAL PROCESSES IN BOREHOLE THERMAL ENERGY STORAGE SYSTEMS

Daniar Aizhulov; Tangnur Amanzholov; Madina Tungatarova; Banu Abdullayeva

doi:10.26577/jpcsit5320269

Authors

Daniar Aizhulov Satbayev University, Department of Mechanical Engineering, Almaty, Kazakhstan https://orcid.org/0000-0001-5496-4639 (unauthenticated)
Tangnur Amanzholov Satbayev University, Department of Mechanical Engineering, Almaty, Kazakhstan https://orcid.org/0000-0001-7386-9717 (unauthenticated)
Madina Tungatarova Satbayev University, Department of Mechanical Engineering, Almaty, Kazakhstan https://orcid.org/0000-0003-3138-3326 (unauthenticated)
Banu Abdullayeva Satbayev University, Department of Mechanical Engineering, Almaty, Kazakhstan https://orcid.org/0009-0002-8535-4619 (unauthenticated)

DOI:

https://doi.org/10.26577/jpcsit5320269

Keywords:

Borehole heat exchanger, ground-source heat pump, full-stack software, transient thermal simulation, geometric optimization, thermal response test

Abstract

Ground thermal energy storage are effective systems for building climate control, yet, their modeling is complicated by a sharp geometric disproportion, particularly the diameter of the heat exchanger is several orders of magnitude smaller than its depth. This makes full-scale 3D modeling practically unfeasible due to large computational costs. The situation is exacerbated by the multi-parametric nature of the problem. As a result, classical parametric studies and sensitivity analysis require high computational power, which hinders the process of rapid iterative design. To address this problem, this paper presents a novel integrated, full-stack software architecture that automates conjugate heat and mass transfer calculations, which traditionally require complex hydrodynamic computations. The methodology relies on an accessible application and a localized database combined with an optimized explicit finite-difference backend, utilizing vectorized numerical solvers to calculate 1D hydrodynamics and thermal processes within the borehole heat exchanger and 3D heat conduction in heterogeneous soil. The reliability of the software's calculations is validated by previously obtained results of field Thermal Response Tests. The proposed tool enabled the implementation of large-scale parametric studies and system sensitivity analysis to key physical factors. The model allows for a comprehensive assessment of the impact of the thermophysical characteristics of heterogeneous soil layers and the properties of the borehole grouting material on heat extraction efficiency. The inclusion of the influence of groundwater flows into the computational scheme potentially expands functionality, allowing for full-fledged dynamic modeling of the system under changing conditions. As a result, the developed software represents a scalable and cost-effective desktop tool for rapid, dynamic modeling of geothermal systems. By providing the capability for deep parametric optimization considering real soil properties, bentonite characteristics, and the impact of groundwater flows, the program successfully combines advanced theoretical thermodynamic principles with the needs of practical design.

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Author Biographies

Daniar Aizhulov, Satbayev University, Department of Mechanical Engineering, Almaty, Kazakhstan

D.Y. Aizhulov, PhD in Mechanics and MSc in Software Engineering, is a Leading Researcher at Satbayev University. A Microsoft Certified IT Professional, he specializes in information systems development and geostatistical modeling.
Tangnur Amanzholov, Satbayev University, Department of Mechanical Engineering, Almaty, Kazakhstan

T.E. Amanzholov, PhD student, who completed specialized training at the TOTAL Energy School and industrial internships, presents practical experience in sustainable energy and drilling technologies.
Madina Tungatarova, Satbayev University, Department of Mechanical Engineering, Almaty, Kazakhstan

M.S. Tungatarova, PhD, is the Head of the Department of Mechanical Engineering at Satbayev University and holds a dual degree from KazNU and AGH-NTU (Poland). She has completed research internships at leading European universities.
Banu Abdullayeva, Satbayev University, Department of Mechanical Engineering, Almaty, Kazakhstan

Master's student B. Abdullayeva explores computational fluid dynamics, reactive transport modeling, and the use of neural networks to optimize uranium in-situ leaching processes.