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Comparative study on process simulation and performance analysis in two pressurized oxy-fuel combustion power plants for carbon capture.

Authors :
Hu, Fan
Sun, Heming
Zhang, Tai
Wang, Qiao
Li, Yu
Liao, Haohua
Wu, Xinying
Liu, Zhaohui
Source :
Energy Conversion & Management. Mar2024, Vol. 303, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

[Display omitted] • A benchmark model to evaluate the performance of pressurized oxy-coal systems is developed. • The performance and process characteristics of two pressurized oxy-coal systems are compared. • Detailed analysis of the factors affecting the pressurized oxy-coal efficiency is conducted. • The efficiency increases of two pressurized oxy-coal systems are obtained and analyzed. Process simulation and analysis are demonstrated to provide significant benefits for pressurized oxy-fuel combustion systems. This study compares the performance of pressurized oxy-fuel combustion systems and a first-generation oxy-combustion system under the same standard conditions. On this basis, the increase in efficiency of pressurized oxy-fuel combustion systems is evaluated. Process simulation and analysis are carried out for the first-generation oxy-combustion system in a 600 MW supercritical primary intermediate reheat power plant without heat integration (Base Case) and with heat integration (Case A). The validity of the simulation results is then verified. Considering Case A as a benchmark model, the process simulations of a pressurized oxy-coal combustion system and a staged pressurized oxy-combustion system are performed. The simulation results are compared with results in other literature studies. Compared with the benchmark model, the results indicate that the gross generation efficiency of the pressurized oxy-coal combustion system is improved by 1.12 % (LHV), and the net generation efficiency is improved by 0.47 % (LHV). In addition, the gross generation efficiency of the staged pressurized oxy-combustion system is enhanced by 1.78 % (LHV), and the net generation efficiency is improved by 2.4 % (LHV) compared with the benchmark model. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01968904
Volume :
303
Database :
Academic Search Index
Journal :
Energy Conversion & Management
Publication Type :
Academic Journal
Accession number :
175642026
Full Text :
https://doi.org/10.1016/j.enconman.2024.118178