Cold energy recovery and reuse in artificial ground freezing for large-scale projects: Experiments and numerical modeling

Artificial ground freezing (AGF) is widely used for temporary support in subsurface construction. Current practice allows the frozen ground to thaw naturally once structural support is no longer required, leading to uncontrolled and inefficient dissipation of stored cold energy. Large-scale, multi-phase construction projects, where frozen-ground requirements shift across spatial locations over time, offer an opportunity to conserve energy by reusing residual cold energy across the site. This study proposes a cold-energy recovery and reuse framework for sequential AGF, in which cold energy from a decommissioned frozen zone is extracted and repurposed to pre-cool or freeze adjacent ground. The approach uses a heat transfer fluid loop to recover cold energy from frozen ground and transfer it to unfrozen ground. In this study, a laboratory-scale experimental setup is established, and a transient numerical model is developed, validated, and exploited to simulate cold-energy recovery and reuse under various operating and ground conditions. The results show that between 11– 15 MWh of energy can be recovered from frozen ground under representative field conditions, which can significantly reduce the energy utilized to cool adjacent unfrozen ground by up to 80%. Furthermore, the study reveals an imbalance between the energy recovered and utilized, arising from the predominance of sensible energy recovery in frozen ground and the combined sensible and latent energy storage in unfrozen ground.

Authors

Institutions

Publication Details

Journal
International Journal of Heat and Mass Transfer
Published
2026-08-03
DOI
https://doi.org/10.1016/j.ijheatmasstransfer.2026.129297
Primary Topic
Climate change and permafrost
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cold energy recovery and reuse in artificial ground freezing for large-scale projects: Experiments and numerical modeling

Mahmoud A. Alzoubi, Oselen J. Imafidon
International Journal of Heat and Mass Transfer
Climate change and permafrost
article

Cold energy recovery and reuse in artificial ground freezing for large-scale projects: Experiments and numerical modeling

Mahmoud A. Alzoubi, Oselen J. Imafidon
article en

Abstract

Artificial ground freezing (AGF) is widely used for temporary support in subsurface construction. Current practice allows the frozen ground to thaw naturally once structural support is no longer required, leading to uncontrolled and inefficient dissipation of stored cold energy. Large-scale, multi-phase construction projects, where frozen-ground requirements shift across spatial locations over time, offer an opportunity to conserve energy by reusing residual cold energy across the site. This study proposes a cold-energy recovery and reuse framework for sequential AGF, in which cold energy from a decommissioned frozen zone is extracted and repurposed to pre-cool or freeze adjacent ground. The approach uses a heat transfer fluid loop to recover cold energy from frozen ground and transfer it to unfrozen ground. In this study, a laboratory-scale experimental setup is established, and a transient numerical model is developed, validated, and exploited to simulate cold-energy recovery and reuse under various operating and ground conditions. The results show that between 11– 15 MWh of energy can be recovered from frozen ground under representative field conditions, which can significantly reduce the energy utilized to cool adjacent unfrozen ground by up to 80%. Furthermore, the study reveals an imbalance between the energy recovered and utilized, arising from the predominance of sensible energy recovery in frozen ground and the combined sensible and latent energy storage in unfrozen ground.

International Journal of Heat and Mass TransferVol. 271
Queen's University (CA)
Natural Sciences and Engineering Research Council of Canada
Affordable and clean energy
Openalex Percentile: Top 12%
Climate change and permafrost
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.