Experimental and numerical studies of heat and mass transfer performance and design optimization of Fan-coil with high supply chilled water temperature in Air-Conditioning system

2021 ◽  
Vol 45 ◽  
pp. 101209
Author(s):  
Mengmeng Bai ◽  
Fenghao Wang ◽  
Jun Liu ◽  
Zhihua Wang
2012 ◽  
Vol 170-173 ◽  
pp. 2652-2656 ◽  
Author(s):  
Ming He Dai ◽  
Zhi Ping Zhou ◽  
Xing Xue

In this paper, the operating conditions of air-conditioning systems in Terminal building of Guilin LiangJiang International Airport were tested and analysed. This paper mainly analyzes the influence of chilled water temperature on water chiller performance and derives the relationship of COP of water chiller and chilled water temperature difference between inlet and outlet , and provides reference for operation mode’s optimization of the air-conditioning system and energy consumption reduction of the whole building.


Author(s):  
Noor Asyikin Sulaiman ◽  
Md Pauzi Abdullah ◽  
Hayati Abdullah ◽  
Muhammad Noorazlan Shah Zainudin ◽  
Azdiana Md Yusop ◽  
...  

Data-driven fault detection and diagnosis system (FDD) has been proven as simple yet powerful to identify soft and abrupt faults in the air conditioning system, leading to energy saving. However, the challenge is to obtain reliable operation data from the actual building. Therefore, a lab-scaled centralized chilled water air conditioning system was successfully developed in this paper. All necessary sensors were installed to generate reliable operation data for the data-driven FDD. Nevertheless, if a practical system is considered, the number of sensors required would be extensive as it depends on the number of rooms in the building. Hence, parameters impact in the dataset were also investigated to identify critical parameters for fault classifications. The analysis results had identified four critical parameters for data-driven FDD: the rooms' temperature (TTCx), supplied chilled water temperature (TCHWS), supplied chilled water flow rate (VCHWS) and supplied cooled water temperature (TCWS). Results showed that the data-driven FDD successfully diagnosed all six conditions correctly with the proposed parameters for more than 92.3% accuracy; only 0.6-3.4% differed from the original dataset's accuracy. Therefore, the proposed parameters can reduce the number of sensors used for practical buildings, thus reducing installation costs without compromising the FDD accuracy.


Author(s):  
Wael Mandow ◽  
Martin Mützel ◽  
Daniel Fleig ◽  
Ulrike Jordan ◽  
Klaus Vajen ◽  
...  

Author(s):  
L. Y. Zhang ◽  
Y. Y. Liu ◽  
Y. Wang ◽  
H. Q. Li ◽  
X. H. Yang ◽  
...  

Absorption air conditioning system could be driven by low grade energy, such as solar energy and industrial exhaust heat, for the purposes of energy conservation and emission reduction. Its development is limited by its huge volume and high initial investment. The nanofluids, which possess the superior thermophysical properties, exhibit a great potential in enhancing heat and mass transfer performance. In this paper, nanofluids of H2O/LiBr with Fe3O4 nanoparticles were introduced into absorption air conditioning system. The effects of some parameters, such as the flow rate of H2O/LiBr nanofluids, nanoparticle size and mass fraction, on the falling film absorption were investigated. The H2O/LiBr nanofluids with Fe3O4 nanoparticle mass fractions of 0.01 wt%, 0.05 wt% and 0.1 wt%, and nanoparticle size of 20 nm, 50 nm and 100 nm were tested by experiment. The results imply that the water vapour absorption rate could be improved by adding nanoparticles to H2O/LiBr solution. The smaller the nanoparticle size, the greater enhancement of the heat and mass transfer performance. The absorption enhancement ratio increases sharply at first by increasing the nanoparticle mass fraction within a range of relatively low mass fraction, and then exhibits a slow growing even reducing trends with increasing the mass fraction further. For Fe3O4 nanoparticle mass fraction of 0.05wt% and nanoparticle size of 20nm, the maximum mass transfer enhancement ratio is achieved about 2.28 at the flow rate of 100 L·h−1.


Sign in / Sign up

Export Citation Format

Share Document