Yu Zhen, Chen Haining, Pan Likui, et al. Research on Matching Optimal State Points of Air Conditioning Performance[J]. Journal of refrigeration, 2020, 41(5).
DOI:
Yu Zhen, Chen Haining, Pan Likui, et al. Research on Matching Optimal State Points of Air Conditioning Performance[J]. Journal of refrigeration, 2020, 41(5). DOI: 10.3969/j.issn.0253-4339.2020.05.096.
Research on Matching Optimal State Points of Air Conditioning Performance
In order to match the best state point of air-conditioning performance
this paper selects an air conditioning unit with a refrigerating capacity of 5.15 kW as a research object. The influence of the charging capacity
the subcooling degree and the superheat degree at the evaporator outlet of the air conditioning system on the refrigerating capacity and energy efficiency of the system is experimentally studied. The theoretical matching curves of SH-Q
SC-EER
SC-Q
SH-EER are proposed
and the best state point of the air conditioning system is matched through the curve. The way to achieve the best state point matching can be divided into two parts: 1) the first charge amount of refrigerant should be based on the matching curve to find the most suitable evaporation superheat degree and condensation subcooling degree of the system; 2) according to the evaporation superheat degree and condensation subcooling degree
the charge amount and throttling intensity are then adjusted to match the best state point of refrigeration efficiency of the air conditioning system. According to the matching curve
the best matching state points of the system are obtained
that is
the most suitable superheat degree and subcooling degree is 1.3 ℃ and 6 ℃
respectively
and the corresponding refrigeration energy efficiency is 2.94
which is 11.4% higher than the minimum value of 2.64 during the experiment.
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Related Author
Jin Lulu
Sheng Jian
Zhang Hua
Zhang Yi
Cui Siqi
Bai Jing
Zheng Huifan
Chen Jianbo
Related Institution
Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering, School of Energy and Power Engineering, University of Shanghai for Science and Technology
School of Energy & Environment, Zhongyuan University of Technology
School of Environment and Architecture, University of Shanghai for Science and Technology