Ce Zhang , Minxia Li , Zhigang Wu , Chaobin Dang , Xiuming Li , Zongwei Han , Rui Zhang , Zhenguo Chen
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引用次数: 0
Abstract
Superheat is the crucial controlled index of vapor compression air-conditioning system. Too low superheat will cause the compressor liquid hammer problem and reduce the system life. Too high superheat will reduce the heat exchanger area and affect the system energy efficiency. In this study, a novel online superheat optimization method is proposed. The construction process of the novel method is based on the minimum temperature superheat theory and fuzzy mathematics theory. The application process of the novel method does not require offline experimental data and is universal. Based on the novel method, the system can dynamically adjust the superheat setting value to adapt to different working conditions. Taking the conventional constant superheat setting value method as the comparison object, the feasibility of the novel method is verified by experimental study. The results show that the novel method can effectively avoid the superheat oscillation problem under the step response experiment, and the coefficient of performance can be improved by more than 6.3 %.
期刊介绍:
Applied Thermal Engineering disseminates novel research related to the design, development and demonstration of components, devices, equipment, technologies and systems involving thermal processes for the production, storage, utilization and conservation of energy, with a focus on engineering application.
The journal publishes high-quality and high-impact Original Research Articles, Review Articles, Short Communications and Letters to the Editor on cutting-edge innovations in research, and recent advances or issues of interest to the thermal engineering community.