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 (Eindhoven University of Technology, TU Delft - Human Factors)
Fang Guo (Tsinghua University)
Pieter-Jan Hoes (Eindhoven University of Technology)
Xudong Yang (Tsinghua University)
Jan Hensen (Eindhoven University of Technology)
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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.
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