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1.广东工业大学材料与能源学院 广州 510006
2.中国科学院广州能源研究所 广州 510640
Huang Hongyu, male, professor, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, 86-13928318638, E-mail: huanghy@ms.giec.ac.cn. Research fields: adsorption cooling technology, chemical thermal storage technology.
Received:10 November 2023,
Revised:16 January 2024,
Accepted:2024-02-26,
Published:16 April 2025
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Jiang Meiling, Zeng Tao, Lin Shusen, et al. Performance Simulation of a Solar Assisted Desiccant Wheel and Adsorption Cooling System[J]. Journal of refrigeration, 2025, 46(2): 47-58.
Jiang Meiling, Zeng Tao, Lin Shusen, et al. Performance Simulation of a Solar Assisted Desiccant Wheel and Adsorption Cooling System[J]. Journal of refrigeration, 2025, 46(2): 47-58. DOI: 10.12465/j.issn.0253-4339.2025.02.047.
为进一步减少温湿度独立控制空调系统的电能消耗,提高太阳能利用率,利用TRNSYS 18建立了一套太阳能转轮除湿-吸附式制冷系统(SDCS-A)。从系统性能系数(COP
sys
)、太阳分数(
F
s
)和一次能源消耗量(
E
p
)等方面分析了广州气候条件下不同集热器面积和水箱体积对系统性能的影响,并与太阳能转轮除湿-压缩式制冷系统(SDCS-C)进行对比。结果表明:对于SDCS-A系统,改变集热器面积对
F
s
和
E
p
的影响更显著,不同面积之间的
F
s
平均增幅为12.18%,而改变水箱体积对COP
sys
影响更大,不同水箱体积之间最大差值为0.1。与SDCS-C相比,在整个制冷季中,SDCS-A的月平均COP
sys
和月平均
F
s
分别提高6.51%和21.05%,月平均
E
p
降低21.
45%。同时,研究了SDCS-A系统在不同气候条件下的运行性能,结果表明,相较于北京、上海和拉萨3个地区,广州气候条件下具有更稳定和更高的月COP
sys
。
To reduce energy consumption in temperature- and humidity-independent air-conditioning systems and enhance solar energy utilization
this study developed a solar-assisted desiccant wheel and adsorption cooling system (SDCS-A) using TRNSYS 18. System performance under Guangzhou's climatic conditions was analyzed by varying collector areas and tank volumes together with evaluating metrics such as system coefficient of performance (COP
sys
)
solar fraction (
F
s
)
and primary energy consumption (
E
p
). These results were compared with those of a solar-assisted desiccant wheel and vapor compression cooling system (SDCS-C). Findings indicate that changes in collector area significantly influence
F
s
and
E
p
with
F
s
increasing by an average of 12.18%
while variations in tank volume predominantly affect COP
sys
with a maximum difference of 0.1. Compared to SDCS-C
SDCS-A achieved 6.51% higher monthly average COP
sys
a 21.05% increase in
F
s
and a 21.45% reduction in
E
p
during the cooling season. Furthermore
the system's performance across different climates was evaluated
demonstrating that Guangzhou offers more stable and higher monthly COP
sys
values than Beijing
Shanghai
and Lhasa.
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