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Performance Optimization and Economic Evaluation of CO 2 Heat Pump Heating System Coupled with Thermal Energy Storage

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  • Zhihua Wang

    (School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Yujia Zhang

    (School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Fenghao Wang

    (School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Guichen Li

    (School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Kaiwen Xu

    (School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

Abstract

CO 2 air source heat pump (ASHP), as a kind of clean and efficient heating equipment, is a promising solution for domestic hot water and clean heating. However, the promotion of CO 2 ASHP encounters a great resistance when it is used for space heating; namely, the return water temperature is too high that cased higher throttle loss, which decreases the COP of the CO 2 ASHP unit. To solve this problem, a heating system of CO 2 ASHP coupled with thermal energy storage (TES) is developed in this work. The simulation model of the studied system is established using TRNSYS software, and the model is verified by experimental data. Additionally, the performance of the studied system is optimized, and its economy is analyzed by life cycle cost ( LCC ). The results showed that, compared with the system before optimization, the cost of the optimized system increased, the annual operating cost of the system was reduced, and the COP of the system ( COP sys ) increased by 7.4%. This research is helpful in improving the application of the CO 2 ASHP unit in cold server and cold areas.

Suggested Citation

  • Zhihua Wang & Yujia Zhang & Fenghao Wang & Guichen Li & Kaiwen Xu, 2021. "Performance Optimization and Economic Evaluation of CO 2 Heat Pump Heating System Coupled with Thermal Energy Storage," Sustainability, MDPI, vol. 13(24), pages 1-22, December.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:13683-:d:699858
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    References listed on IDEAS

    as
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