Numerical analysis on the power consumption of the PSA process for recovering CO2 from flue gas

被引:97
作者
Park, JH [1 ]
Beum, HT [1 ]
Kim, JN [1 ]
Cho, SH [1 ]
机构
[1] Korea Inst Energy Res, Yusungku, Taejon 305343, South Korea
关键词
D O I
10.1021/ie010716i
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
To recover 99% CO2 from flue gas containing 10-15% CO2, a two-stage pressure swing adsorption (PSA) process is usually employed. At the first stage of the two-stage PSA, CO2 is concentrated to 40-60% and then concentrated to 99% at the second stage. Because two stages are coupled with each other, the overall optimization of the two-stage PSA process is quite a complicated task. In this paper, we only considered the first stage of the two-stage PSA process to simplify the analysis. Effects of the process configuration and operating variables such as the P/F ratio and desorption pressure on the specific power consumption were investigated. The specific power consumption at the blower was reduced with the increase of the P/F ratio. On the contrary, that at the vacuum pump was increased with the increase of the P/F ratio. Because of these two effects, there was an optimum PIF ratio, which minimized the specific power consumption. While the compression ratio is reduced with the increase of the desorption pressure, the CO2 purity is decreased and the amount of the power used to compress nitrogen is increased. As a result, the specific power consumption was insensitive to the desorption pressure within the range studied here. Employing the pressure equalization step, the CO2 purity could be increased without much increase of the specific power consumption. With the rinse step, which is often used to increase the purity of the strongly adsorbed component, the CO2 purity could be increased. However, because more gases should be pumped to produce a given amount of CO2, the specific power consumption was significantly increased at a given recovery.
引用
收藏
页码:4122 / 4131
页数:10
相关论文
共 50 条
[41]   The performance of a hybrid VSA-membrane process for the capture of CO2 from flue gas [J].
Jaschik, Manfred ;
Tanczyk, Marek ;
Jaschik, Jolanta ;
Janusz-Cygan, Aleksandra .
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2020, 97
[42]   Experimental investigation on the CO2 separation performance from humid flue gas by TSA process [J].
Osaka, Yugo ;
Tsujiguchi, Takuya ;
Kodama, Akio .
SEPARATION AND PURIFICATION TECHNOLOGY, 2018, 207 :77-82
[43]   Optimizing the CO2 capture and removal process to recover energy and CO2 from the flue gas of boilers and gas turbines outlet with considering the techno-economic analysis [J].
Van Nguyen, Nguyen ;
Pirouzfar, Vahid ;
Soheilinezhad, Hasti ;
Su, Chia-Hung .
ENERGY, 2024, 291
[44]   Demonstration of Hitachi's CO2 Capture System for Flue Gas from Power plants [J].
Kawasaki, Terufumi ;
Inatsune, Yoshiro ;
Sano, Kengo ;
Mishima, Nobuyoshi ;
Miyake, Yoshiyuki ;
Kikkawa, Hirofumi ;
Kiyama, Kenji ;
Katube, Toshio ;
Kuramoto, Masaharu .
GHGT-11, 2013, 37 :1797-1803
[45]   Research progress of CO2 capture by using ammonia from flue gas of power plant [J].
Liu, Fang ;
Wang, Shujuan ;
Chen, Changhe ;
Xu, Xuchang .
Huagong Xuebao/CIESC Journal, 2009, 60 (02) :269-278
[46]   Optimal design of membrane separation process for capturing CO2 from flue gas of coal-fired power plant [J].
Li G. ;
Wang K. ;
Wang J. ;
Meng W. ;
Li J. ;
Yang Y. ;
Fan Z. ;
Wang D. ;
Zhou H. .
Huagong Xuebao/CIESC Journal, 2022, 73 (11) :5065-5077
[47]   Application of the circulating moving bed process for CO2 recovery from the flue gas of coal-thermal power plants [J].
Norikyo, I ;
Okishi, H .
KAGAKU KOGAKU RONBUNSHU, 2002, 28 (05) :636-640
[48]   Energy consumption analysis for CO2 separation from gas mixtures [J].
Zhang, Yingying ;
Ji, Xiaoyan ;
Lu, Xiaohua .
APPLIED ENERGY, 2014, 130 :237-243
[49]   Heavy reflux PSA cycles for CO2 recovery from flue gas:: Part I.: Performance evaluation [J].
Reynolds, Steven P. ;
Mehrotra, Amal ;
Ebner, Armin D. ;
Ritter, James A. .
ADSORPTION-JOURNAL OF THE INTERNATIONAL ADSORPTION SOCIETY, 2008, 14 (2-3) :399-413
[50]   CO2 separation from purge gas and flue gas in the methanol process, using NLP model optimization [J].
Kralj, Anita Kovac ;
Glavic, Peter .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2007, 46 (21) :6953-6962