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 Prediction of Transport Properties for Transporting Captured CO2. 2. Thermal Conductivity
Authors Won Jun Lee ; Rin Yun
DOI https://dx.doi.org/10.6110/KJACR.2017.29.5.213
Page pp.213-219
ISSN 1229-6422
Keywords 전달물성 ; 열전도계수 ; 이산화탄소 수송 ; 정 모델 ; 전달물성 예측 ; 냉매물성 예측프로그램 Transport properties ; Thermal conductivity ; CO2 transportation ; Chung et al. model ; TRAPP ; REFPROP
Abstract This study investigated the thermal conductivity of CO2 gas mixtures in order to ascertain the effects of particular impurities in CO2 in pipeline transportation. We predicted the thermal conductivity of three CO2 gas mixtures (CO2+N2, CO2+H2S, and CO2+CH4) by utilizing three different methods : Chung et al., TRAPP, and the REFPROP model. We validated predictions by comparing the estimated results with 216 experimental data for CO2+ CH4, CO2+N2, and CO2+C2H6. Following CO2 transportation conditions, we observed that the model developed by Chung et al. showed the lowest mean deviation of 3.07%. Further investigations were carried out on the thermal conductivity of CO2 gas mixtures based on the Chung et al. model including the effects of the operation parameters of pressure, temperature, and mole fraction of impurities.