4.7 Article

Dynamic modelling and performance evaluation of a direct-expansion solar-assisted heat pump for LPG vaporisation applications

期刊

APPLIED THERMAL ENGINEERING
卷 149, 期 -, 页码 757-771

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.applthermaleng.2018.12.101

关键词

Solar-assisted heat pump; LPG vaporisation; Operation characteristics; Coefficient of performance; Collector efficiency

资金

  1. China Scholarships Council [201606735054]
  2. Natural Science Foundation of Hebei Province, China [E2016502027]
  3. Fundamental Research Funds for the Central Universities, China [2017MS124]
  4. Scientific Research Project of Education Department of Hebei Province, China [Z2015119]
  5. Department of Infrastructure Engineering, Melbourne School of Engineering, the University of Melbourne

向作者/读者索取更多资源

This study investigated a novel LPG vaporisation system utilising direct-expansion solar-assisted heat pump (DX-SAHPV)(1) for supplying residential gas. The DX-SAHPV applies a collector-evaporator to obtain heat energy from both solar radiation and ambient air to produce hot water to vaporise LPG liquid. It can operate in six operating modes depending on the weather and gas load conditions. In this study, a dynamic model and control strategies realising the mode switching were developed to carry out the operating performance evaluation of the system. By applying the typical meteorological year data and the gas load data of a community in Beijing, China, the performance of the DX-SAHPV was evaluated and analysed for the whole year and two selected days. The simulation results show that the system can vaporise adequate LPG liquid for the community throughout the year. The solar energy contribution accounts for approximately 68% of the total heat energy for the water heated vaporisation. It was also found that the DX-SAHP obtains average monthly values of COP ranging from 2.72 to 3.37 and solar collector efficiency varying between 93 and 152%. In addition, which mode the system operates at any time on selected days was predicted and the running time of each mode in each month was discussed.

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