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Parameter Analysis of CO2 Capture with Anti-Sublimation Process

by Hua Tian, Ke Kang, Lingfeng Shi, Rui Sun

1 State Key Laboratory of Engines, Tianjin University, Tianjin, 300072, China
2 Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei, 230027, China

* Corresponding Author: Lingfeng Shi. Email: email

Energy Engineering 2020, 117(5), 267-277. https://doi.org/10.32604/EE.2020.011440

Abstract

The anti-sublimation CO2 capture technology has attracted the attention of researchers due to its advantages such as no pollution and high product purity. The anti-sublimation process is the core link of this technology, so the study of this process is of great significance to the low-temperature capture system. At present, there are few research works on the CO2 anti-sublimation process. In order to study the influence of key parameters on the capture performance during CO2 anti-sublimation, a one-dimensional steady-state of CO2 anti-sublimation process in a double pipe heat exchanger was established based on the mixture gas of N2 and CO2. The effects of cooling nitrogen inlet temperature, mixture gas velocity and pressure on the CO2 volume fraction, deposition rate distribution, capture rate and valid capture length are investigated. Optimal operation parameters are obtained, which could be used to provide guidance for parameter setting and design of anti-sublimation heat exchanger

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APA Style
Tian, H., Kang, K., Shi, L., Sun, R. (2020). Parameter analysis of co2 capture with anti-sublimation process. Energy Engineering, 117(5), 267-277. https://doi.org/10.32604/EE.2020.011440
Vancouver Style
Tian H, Kang K, Shi L, Sun R. Parameter analysis of co2 capture with anti-sublimation process. Energ Eng. 2020;117(5):267-277 https://doi.org/10.32604/EE.2020.011440
IEEE Style
H. Tian, K. Kang, L. Shi, and R. Sun, “Parameter Analysis of CO2 Capture with Anti-Sublimation Process,” Energ. Eng., vol. 117, no. 5, pp. 267-277, 2020. https://doi.org/10.32604/EE.2020.011440

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cc Copyright © 2020 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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