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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationSecond International Conference on Artificial Intelligence and Power System, AIPS 2025
EditorsQiang Yang, Yuanping Xu, Peng Liu
PublisherSPIE
ISBN (Electronic)9781510694514
DOIs
StatePublished - 5 Sep 2025
Event2nd International Conference on Artificial Intelligence and Power System, AIPS 2025 - Chengdu, China
Duration: 9 May 202511 May 2025

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13786
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2nd International Conference on Artificial Intelligence and Power System, AIPS 2025
Country/TerritoryChina
CityChengdu
Period9/05/2511/05/25

Keywords

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

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