A data-driven evaluating method on the defrosting effect of the air source heat pump system in Beijing
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Researchers have primarily focused on defrosting time and energy consumption for individual cycles.
“When investigating defrosting methods for the ASHP, researchers have primarily focused on defrosting time and energy consumption for individual cycles. [12,18,22,26,84 -86].”
From Enhancing heat-exchanger performance in frost conditions via superhydrophobic surface modification (2024) · cites this paper as [84]
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- Authors
- Guo, Y., Shao, S., Geng, X., Li, H., Wang, Z., & Akkurt, N.
- Affiliations
- Huazhong University of Science and Technology (CN)
- China Academy of Building Research (CN)
- Munzur University (TR)
- Corresponding author
- Shao, Shuangquan
- Venue
- Applied Thermal Engineering
- Publisher
- Elsevier BV
- Published
- 2023-11
- Volume
- 235
- Pages
- 121377
- ISSN
- 1359-4311 (ISSN-L)
- OpenAlex
- W4385879603
- Cited by
- 27
- References
- 34
- Citations by year
- 2026: 8 · 2025: 9 · 2024: 10
- FWCI
- 2.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Applied Thermal Engineering (publishedVersion)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Refrigeration and Air Conditioning Technologies
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Geothermal Energy Systems and Applications
- Keywords
- air-source heat pump, frost detection, fully connected neural network, power consumption, seasonal performance factor
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