Mobile QR Code QR CODE : Korean Journal of Air-Conditioning and Refrigeration Engineering
Korean Journal of Air-Conditioning and Refrigeration Engineering

Korean Journal of Air-Conditioning and Refrigeration Engineering

ISO Journal TitleKorean J. Air-Cond. Refrig. Eng.
  • Open Access, Monthly
Open Access Monthly
  • ISSN : 1229-6422 (Print)
  • ISSN : 2465-7611 (Online)
Title Comparison of the Correlations Between the Heat Transfer Coefficient and the Pressure Drop of CO2 with Non-Condensable Gas
Authors Ju Hee Jeong ; Rin Yun
DOI https://doi.org/10.6110/KJACR.2021.33.4.155
Page pp.155-164
ISSN 1229-6422
Keywords 해수; 이산화탄소 포집 저장기술; 이산화탄소 수송; 증발 열전달; 압력강하 Seawater; Carbon capture & storage; CO2 transportation; Boiling heat transfer; pressure drop
Abstract The evaporating heat transfer characteristics and the pressure drop of carbon dioxide, including impurities, were experimentally measured and compared with the predictions from existing models. The experimental setup consisted of a test section, a condenser, and a heating part. The test section used double-tube type, and the copper tube of 1/2 inch was located inside the PVC pipe. Total length of the test section was 4 meters. The temperature of carbon dioxide was measured by attaching the thermocouple to the test part using soldering. In addition, the temperature of the brine was measured by inserting the T-type thermocouple through the hole in the outer tube in order to measure the brine temperature in the PVC tube. The CO2 mixture after the test section was condensed by using two plate-type heat exchangers. The impurity of nitrogen concentration was transformed by 1.0~5.0 wt.% under 400~500 kg?m-2s-1 conditions. The heat transfer coefficients of pure CO2 and CO2+N2 were compared by using the Shrock and Grossman model, the Gungor and Winterton model, and the Yoon et al.’s model. The pressure drops were compared using the Muller-Steinhagen model, the Heck and Chislom models, and the Yoon et al.’s model. The Yoon et al.’s model and the Chislom model showed the best performance when predicting the boiling heat transfer coefficient and pressure drop for the CO2+N2 mixture, respectively.