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Zhang, W 
ORCID: https://orcid.org/0000-0002-3053-2388, Sun, C, Snape, CE, Irons, R, Stebbing, S, Alderson, T, Fitzgerald, D and Liu, H,
2017.
Process simulations of post-combustion CO 2 capture for coal and natural gas-fired power plants using a polyethyleneimine/silica adsorbent.
International Journal of Greenhouse Gas Control, 58, pp. 276-289.
ISSN 1750-5836
Abstract
The regeneration heat for a polyethyleneimine (PEI)/silica adsorbent based carbon capture system is first assessed in order to evaluate its effect on the efficiency penalty of a coal or natural gas power plant. Process simulations are then carried out on the net plant efficiencies for a specific supercritical 550 MWe pulverized coal (PC) and a 555 MWe natural gas combined cycle (NGCC) power plant integrated with a conceptually designed capture system using fluidized beds and PEI/silica adsorbent. A benchmark system applying an advanced MEA absorption technology in a NETL report (2010) is used as a reference system. Using the conservatively estimated parameters, the net plant efficiency of the PC and NGCC power plant with the proposed capture system is found to be 1.5% and 0.6% point higher than the reference PC and NGCC systems, respectively. Sensitivity analysis has revealed that the moisture adsorption, working capacity and heat recovery strategies are the most influential parameters to the power plant efficiency. Under an optimal scenario with improvements in increasing the working capacity by 2% points and decreasing moisture adsorption by 1% point, the plant efficiencies with the proposed capture system are 2.7% (PC) and 1.9% (NGCC) points higher than the reference systems.
| Item Type: | Journal article |
|---|---|
| Publication Title: | International Journal of Greenhouse Gas Control |
| Creators: | Zhang, W., Sun, C., Snape, C.E., Irons, R., Stebbing, S., Alderson, T., Fitzgerald, D. and Liu, H. |
| Publisher: | Elsevier BV |
| Date: | March 2017 |
| Volume: | 58 |
| ISSN: | 1750-5836 |
| Identifiers: | Number Type 10.1016/j.ijggc.2016.12.003 DOI S1750583616306077 Publisher Item Identifier 1615735 Other |
| Rights: | © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| Divisions: | Schools > School of Science and Technology |
| Record created by: | Linda Sullivan |
| Date Added: | 10 Nov 2022 14:15 |
| Last Modified: | 10 Nov 2022 14:15 |
| URI: | https://irep.ntu.ac.uk/id/eprint/47368 |
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