Analysis and optimization for seasonal thermal energy storage operation of deep borehole heat exchangers heating system

Chao Zhu; Yafei Xin; Le Dong; Jingxuan Zhao; Ziyu Chen; Tuo Zhang; Fenghao Wang; Qing Xia

doi:10.1117/12.3075068

Analysis and optimization for seasonal thermal energy storage operation of deep borehole heat exchangers heating system

Chao Zhu
, Yafei Xin
, Le Dong
, Jingxuan Zhao
, Ziyu Chen
, Tuo Zhang
, Fenghao Wang
, Qing Xia

School of Human Settlements and Civil Engineering

State Grid Shaanxi Electric Power Research Institute
Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This study developed a comprehensive model for heat extraction and storage in deep ground-source heat exchangers, conducting an in-depth analysis of inter-seasonal thermal storage mechanisms. The research systematically investigated critical influencing factors, including Heat storage flow rates, Storage temperature variations, Inner pipe design parameters, and Geothermal geological characteristics. Through advanced inter-seasonal thermal storage technology, the research aimed to mitigate geothermal temperature degradation and provide theoretical strategies for enhancing system heating performance and reducing operational energy consumption.

Original language	English
Title of host publication	Second International Conference on Artificial Intelligence and Power System, AIPS 2025
Editors	Qiang Yang, Yuanping Xu, Peng Liu
Publisher	SPIE
ISBN (Electronic)	9781510694514
DOIs	https://doi.org/10.1117/12.3075068
State	Published - 5 Sep 2025
Event	2nd International Conference on Artificial Intelligence and Power System, AIPS 2025 - Chengdu, China Duration: 9 May 2025 → 11 May 2025

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	13786
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	2nd International Conference on Artificial Intelligence and Power System, AIPS 2025
Country/Territory	China
City	Chengdu
Period	9/05/25 → 11/05/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Ground-source heat exchanger
Heat extraction
Performance analysis
Seasonal thermal storage

Access to Document

10.1117/12.3075068

Cite this

Zhu, C., Xin, Y., Dong, L., Zhao, J., Chen, Z., Zhang, T., Wang, F., & Xia, Q. (2025). Analysis and optimization for seasonal thermal energy storage operation of deep borehole heat exchangers heating system. In Q. Yang, Y. Xu, & P. Liu (Eds.), Second International Conference on Artificial Intelligence and Power System, AIPS 2025 Article 1378610 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 13786). SPIE. https://doi.org/10.1117/12.3075068

Zhu, Chao ; Xin, Yafei ; Dong, Le et al. / Analysis and optimization for seasonal thermal energy storage operation of deep borehole heat exchangers heating system. Second International Conference on Artificial Intelligence and Power System, AIPS 2025. editor / Qiang Yang ; Yuanping Xu ; Peng Liu. SPIE, 2025. (Proceedings of SPIE - The International Society for Optical Engineering).

@inproceedings{fd628a46aee64d00b90f78cd6d8a9a8a,

title = "Analysis and optimization for seasonal thermal energy storage operation of deep borehole heat exchangers heating system",

abstract = "This study developed a comprehensive model for heat extraction and storage in deep ground-source heat exchangers, conducting an in-depth analysis of inter-seasonal thermal storage mechanisms. The research systematically investigated critical influencing factors, including Heat storage flow rates, Storage temperature variations, Inner pipe design parameters, and Geothermal geological characteristics. Through advanced inter-seasonal thermal storage technology, the research aimed to mitigate geothermal temperature degradation and provide theoretical strategies for enhancing system heating performance and reducing operational energy consumption.",

keywords = "Ground-source heat exchanger, Heat extraction, Performance analysis, Seasonal thermal storage",

author = "Chao Zhu and Yafei Xin and Le Dong and Jingxuan Zhao and Ziyu Chen and Tuo Zhang and Fenghao Wang and Qing Xia",

note = "Publisher Copyright: {\textcopyright} 2025 SPIE. All rights reserved.; 2nd International Conference on Artificial Intelligence and Power System, AIPS 2025 ; Conference date: 09-05-2025 Through 11-05-2025",

year = "2025",

month = sep,

day = "5",

doi = "10.1117/12.3075068",

language = "英语",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Qiang Yang and Yuanping Xu and Peng Liu",

booktitle = "Second International Conference on Artificial Intelligence and Power System, AIPS 2025",

}

Zhu, C, Xin, Y, Dong, L, Zhao, J, Chen, Z, Zhang, T, Wang, F & Xia, Q 2025, Analysis and optimization for seasonal thermal energy storage operation of deep borehole heat exchangers heating system. in Q Yang, Y Xu & P Liu (eds), Second International Conference on Artificial Intelligence and Power System, AIPS 2025., 1378610, Proceedings of SPIE - The International Society for Optical Engineering, vol. 13786, SPIE, 2nd International Conference on Artificial Intelligence and Power System, AIPS 2025, Chengdu, China, 9/05/25. https://doi.org/10.1117/12.3075068

Analysis and optimization for seasonal thermal energy storage operation of deep borehole heat exchangers heating system. / Zhu, Chao; Xin, Yafei; Dong, Le et al.
Second International Conference on Artificial Intelligence and Power System, AIPS 2025. ed. / Qiang Yang; Yuanping Xu; Peng Liu. SPIE, 2025. 1378610 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 13786).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Analysis and optimization for seasonal thermal energy storage operation of deep borehole heat exchangers heating system

AU - Zhu, Chao

AU - Xin, Yafei

AU - Dong, Le

AU - Zhao, Jingxuan

AU - Chen, Ziyu

AU - Zhang, Tuo

AU - Wang, Fenghao

AU - Xia, Qing

PY - 2025/9/5

Y1 - 2025/9/5

N2 - This study developed a comprehensive model for heat extraction and storage in deep ground-source heat exchangers, conducting an in-depth analysis of inter-seasonal thermal storage mechanisms. The research systematically investigated critical influencing factors, including Heat storage flow rates, Storage temperature variations, Inner pipe design parameters, and Geothermal geological characteristics. Through advanced inter-seasonal thermal storage technology, the research aimed to mitigate geothermal temperature degradation and provide theoretical strategies for enhancing system heating performance and reducing operational energy consumption.

AB - This study developed a comprehensive model for heat extraction and storage in deep ground-source heat exchangers, conducting an in-depth analysis of inter-seasonal thermal storage mechanisms. The research systematically investigated critical influencing factors, including Heat storage flow rates, Storage temperature variations, Inner pipe design parameters, and Geothermal geological characteristics. Through advanced inter-seasonal thermal storage technology, the research aimed to mitigate geothermal temperature degradation and provide theoretical strategies for enhancing system heating performance and reducing operational energy consumption.

KW - Ground-source heat exchanger

KW - Heat extraction

KW - Performance analysis

KW - Seasonal thermal storage

UR - https://www.scopus.com/pages/publications/105024923073

U2 - 10.1117/12.3075068

DO - 10.1117/12.3075068

M3 - 会议稿件

AN - SCOPUS:105024923073

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Second International Conference on Artificial Intelligence and Power System, AIPS 2025

A2 - Yang, Qiang

A2 - Xu, Yuanping

A2 - Liu, Peng

PB - SPIE

T2 - 2nd International Conference on Artificial Intelligence and Power System, AIPS 2025

Y2 - 9 May 2025 through 11 May 2025

ER -

Zhu C, Xin Y, Dong L, Zhao J, Chen Z, Zhang T et al. Analysis and optimization for seasonal thermal energy storage operation of deep borehole heat exchangers heating system. In Yang Q, Xu Y, Liu P, editors, Second International Conference on Artificial Intelligence and Power System, AIPS 2025. SPIE. 2025. 1378610. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.3075068

Analysis and optimization for seasonal thermal energy storage operation of deep borehole heat exchangers heating system

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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