Conceptual Investigation of Thermoelectric Linings of Tunnels in High‐Geothermal Environments
Source abstract
Abstract
ABSTRACT High‐geothermal environments present significant challenges for tunnel construction and operation while simultaneously offering promising opportunities for renewable energy utilization. In response, this study proposes a novel high‐geothermal tunnel thermoelectric generator (HGT‐TEG) system, designed to convert geothermal heat into electrical energy. A numerical model was developed to investigate the heat‐transfer characteristics and power generation performance of the system. The model was validated through comparison with both on‐site measurements and laboratory experiments. A parametric analysis revealed that the thickness of the thermal insulation layer and the spacing of thermoelectric modules (TEMs) are key factors, affecting the power output. Furthermore, the integration of thermal conductive layers significantly enhanced the effective temperature gradients across TEMs, thereby improving the overall system performance. Under geothermal conditions with a surrounding rock temperature around 92°C, an HGT‐TEG system, featuring 30 cm spacing between TEMs in a 1 km tunnel segment (8 m wide, 10 m high), generated an estimated 4867 kWh of electricity, annually. The proposed HGT‐TEG system represents a viable and sustainable solution for geothermal energy harvesting, contributing to the resilience and sustainability of tunnel infrastructure in geothermally active regions
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Geothermal Energy Systems and Applications · Advanced Thermoelectric Materials and Devices · Smart Materials for Construction
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Geotechnical Engineering, College of Civil Engineering Tongji University Shanghai China
State Key Laboratory of Disaster Reduction in Civil Engineering Shanghai China
Institute for Mechanics of Materials and Structures TU Wien Vienna Austria
Funding
Ministry of Science and Technology of the People's Republic of China
References (52)
Show source-provided references
1. 10.1016/j.ijthermalsci.2023.10832210.1016/j.ijthermalsci.2023.108322 ↗
2. 10.1016/j.conbuildmat.2022.12856810.1016/j.conbuildmat.2022.128568 ↗
3. 10.1016/j.conbuildmat.2022.12750710.1016/j.conbuildmat.2022.127507 ↗
4. 10.1016/j.tust.2023.10536010.1016/j.tust.2023.105360 ↗
5. 10.1016/j.tust.2022.10443810.1016/j.tust.2022.104438 ↗
6. 10.1016/j.renene.2024.12103110.1016/j.renene.2024.121031 ↗
7. 10.1016/j.rser.2021.11075010.1016/j.rser.2021.110750 ↗
8. 10.1016/j.tust.2024.10610910.1016/j.tust.2024.106109 ↗
9. 10.1016/j.gete.2018.07.00410.1016/j.gete.2018.07.004 ↗
10. 10.1016/j.adapen.2022.10010510.1016/j.adapen.2022.100105 ↗
11. 10.1016/j.undsp.2022.02.00610.1016/j.undsp.2022.02.006 ↗
12. 10.1016/j.renene.2019.08.08810.1016/j.renene.2019.08.088 ↗
13. 10.1680/geot.2006.56.2.8110.1680/geot.2006.56.2.81 ↗
14. 10.1016/j.geothermics.2014.02.00710.1016/j.geothermics.2014.02.007 ↗
15. 10.1016/j.tust.2016.06.01410.1016/j.tust.2016.06.014 ↗
16. 10.1016/j.tust.2022.10464710.1016/j.tust.2022.104647 ↗
17. 10.1016/j.rser.2022.11250910.1016/j.rser.2022.112509 ↗
18. 10.1016/j.applthermaleng.2023.12140310.1016/j.applthermaleng.2023.121403 ↗
19. 10.1016/j.jclepro.2024.14149410.1016/j.jclepro.2024.141494 ↗
20. 10.1016/j.applthermaleng.2024.12323210.1016/j.applthermaleng.2024.123232 ↗
21. 10.1038/s41928‐022‐00776‐010.1038/s41928‐022‐00776‐0 ↗
22. 10.1016/j.apenergy.2024.12326310.1016/j.apenergy.2024.123263 ↗
23. 10.1016/j.enconman.2018.11.00210.1016/j.enconman.2018.11.002 ↗
24. 10.1016/j.applthermaleng.2021.11779310.1016/j.applthermaleng.2021.117793 ↗
25. 10.1016/j.pecs.2022.10100910.1016/j.pecs.2022.101009 ↗
26. 10.1016/j.apenergy.2021.11780010.1016/j.apenergy.2021.117800 ↗
27. 10.1038/s41467‐024‐52841‐110.1038/s41467‐024‐52841‐1 ↗
28. 10.1016/j.applthermaleng.2023.12181310.1016/j.applthermaleng.2023.121813 ↗
29. 10.1016/j.apenergy.2022.11952310.1016/j.apenergy.2022.119523 ↗
30. 10.1016/j.jpowsour.2020.22926610.1016/j.jpowsour.2020.229266 ↗
31. 10.1016/j.enconman.2023.11778210.1016/j.enconman.2023.117782 ↗
32. 10.1016/j.renene.2024.12203210.1016/j.renene.2024.122032 ↗
33. 10.1016/j.applthermaleng.2021.11761910.1016/j.applthermaleng.2021.117619 ↗
34. 10.1016/j.applthermaleng.2022.11984310.1016/j.applthermaleng.2022.119843 ↗
35. 10.1016/j.applthermaleng.2024.12381910.1016/j.applthermaleng.2024.123819 ↗
36. 10.1016/j.enbuild.2018.03.04910.1016/j.enbuild.2018.03.049 ↗
37. 10.1016/j.apenergy.2022.12045910.1016/j.apenergy.2022.120459 ↗
38. 10.1016/j.apenergy.2019.01.15210.1016/j.apenergy.2019.01.152 ↗
39. 10.1016/j.ijthermalsci.2021.10738510.1016/j.ijthermalsci.2021.107385 ↗
40. 10.1016/j.tust.2023.10512210.1016/j.tust.2023.105122 ↗
41. 10.1016/j.ijft.2021.10007010.1016/j.ijft.2021.100070 ↗
42. 10.1016/j.applthermaleng.2023.12136410.1016/j.applthermaleng.2023.121364 ↗
43. 10.1016/j.enconman.2021.11396810.1016/j.enconman.2021.113968 ↗
44. 10.1016/j.csite.2023.10378010.1016/j.csite.2023.103780 ↗
45. 10.1016/j.jpowsour.2022.23169910.1016/j.jpowsour.2022.231699 ↗
46. 10.1016/j.enconman.2022.11638910.1016/j.enconman.2022.116389 ↗
47. 10.3390/app1007230710.3390/app10072307 ↗
48. 10.1007/s11664‐016‐5223‐910.1007/s11664‐016‐5223‐9 ↗
49. 10.1038/s41893‐022‐01003‐610.1038/s41893‐022‐01003‐6 ↗
50. 10.1016/j.autcon.2023.10521010.1016/j.autcon.2023.105210 ↗
51. Ultra‐Low Power Sensor System for Disaster Event Detection in Metro Tunnel Systems
52. 10.1016/j.energy.2021.12044610.1016/j.energy.2021.120446 ↗