Investigating energy performance of large-scale seasonal storage in the district heating system of chifeng city: Measurements and model-based analysis of operation strategies

Luyi Xu, Fang Guo, Pieter-Jan Hoes, Xudong Yang, Jan Hensen

Research output: Contribution to journalArticleScientificpeer-review

1 Downloads (Pure)

Abstract

This paper presents a modeling and simulation method that supports energy performance assessment and operation strategy investigation of borehole thermal energy storage in the Chifeng district heating (DH) system. A living laboratory in Chifeng, China that integrates a 0.5 million m3 borehole thermal energy storage system, an on-site solar thermal plant and excess heat from a copper plant is presented. The research adopts Modelica models from open source libraries to evaluate the system. The validity of the borehole thermal energy storage model is evaluated through an inter-model comparison study and an empirical validation test. We used the validated model to investigate three operation strategies. We conclude that the time-scheduled combined operation strategy is more beneficial for the studied system regarding CO2 emission reduction.
Original languageEnglish
Article number111113
Number of pages20
JournalEnergy and Buildings
Volume247
DOIs
Publication statusPublished - 2021

Keywords

  • Borehole thermal energy storage
  • Industrial waste heat
  • TRNSYS
  • Modelica
  • Model validation

Fingerprint

Dive into the research topics of 'Investigating energy performance of large-scale seasonal storage in the district heating system of chifeng city: Measurements and model-based analysis of operation strategies'. Together they form a unique fingerprint.

Cite this