LAPSE:2019.0942
Published Article
LAPSE:2019.0942
Optimization of Post Combustion CO2 Capture from a Combined-Cycle Gas Turbine Power Plant via Taguchi Design of Experiment
Ben Alexanda Petrovic, Salman Masoudi Soltani
August 8, 2019
The potential of carbon capture and storage to provide a low carbon fossil-fueled power generation sector that complements the continuously growing renewable sector is becoming ever more apparent. An optimization of a post combustion capture unit employing the solvent monoethanolamine (MEA) was carried out using a Taguchi design of experiment to mitigate the parasitic energy demands of the system. An equilibrium-based approach was employed in Aspen Plus to simulate 90% capture of the CO2 emitted from a 600 MW natural gas combined-cycle gas turbine power plant. The effects of varying the inlet flue gas temperature, absorber column operating pressure, amount of exhaust gas recycle, and amine concentration were evaluated using signal to noise ratios and analysis of variance. The optimum levels that minimized the specific energy requirements were a: flue gas temperature = 50 °C; absorber pressure = 1 bar; exhaust gas recirculation = 20% and; amine concentration = 35 wt%, with a relative importance of: amine concentration > absorber column pressure > exhaust gas recirculation > flue gas temperature. This configuration gave a total capture unit energy requirement of 5.05 GJ/tonneCO2, with an energy requirement in the reboiler of 3.94 GJ/tonneCO2. All the studied factors except the flue gas temperature, demonstrated a statistically significant association to the response.
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Suggested Citation
Alexanda Petrovic B, Masoudi Soltani S. Optimization of Post Combustion CO2 Capture from a Combined-Cycle Gas Turbine Power Plant via Taguchi Design of Experiment. (2019). LAPSE:2019.0942
Author Affiliations
Alexanda Petrovic B: Department of Mechanical and Aerospace Engineering, Brunel University London, Uxbridge UB8 3PH, UK [ORCID]
Masoudi Soltani S: Department of Chemical Engineering, Brunel University London, Uxbridge UB8 3PH, UK
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Journal Name
Processes
Volume
7
Issue
6
Article Number
E364
Year
2019
Publication Date
2019-06-12
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr7060364, Publication Type: Journal Article
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LAPSE:2019.0942
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doi:10.3390/pr7060364
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Aug 8, 2019
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CC BY 4.0
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Aug 8, 2019
 
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Calvin Tsay
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