Paper
19 October 2022 Study on application of solar-ground source heat pump and combined heating system in severe cold area based on TRNSYS model
Hong Hao, Hongjun Dong, Guiwen Shi, Wen Luo, Wenhao Huang
Author Affiliations +
Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 1229453 (2022) https://doi.org/10.1117/12.2639115
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China
Abstract
In this paper, based on the TRNSYS model, the solar-ground source heat pump and heat network combined heating system is simulated under two operating modes of series and parallel. Through the construction of relevant models, the heat exchange between the two systems and the soil, the changes of the water temperature in the pipeline, the changes of the COP and EER values of the heat pump unit are compared and analyzed, and finally the economic analysis are carried out. The results show that in terms of heat exchange between the two systems and the heat network, the parallel system is much higher than the tandem system in terms of maximum heat exchange efficiency or total heat exchange. After a five-year work cycle, the cost difference between the two schemes is 22,000 yuan, which means that the tandem system is more economical, but the parallel system is more ideal for heating and is more friendly to the surrounding soil.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hong Hao, Hongjun Dong, Guiwen Shi, Wen Luo, and Wenhao Huang "Study on application of solar-ground source heat pump and combined heating system in severe cold area based on TRNSYS model", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 1229453 (19 October 2022); https://doi.org/10.1117/12.2639115
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KEYWORDS
Systems modeling

Soil science

Solar energy

Mathematical modeling

Tantalum

Artificial intelligence

Geothermal energy

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