Session: 06-09 Innovative GT Cycles

Paper Number: 101902

101902 - Thermodynamic Assessment of a Combined Cycle Gas Turbine With Post-Combustion Carbon Capture and Exhaust Gas Recirculation Under Part-Load Operation 

Applying post-combustion Carbon Capture (CC) is a solution to reduce CO₂ emissions from Combined Cycle Gas Turbine (CCGT) power plants. However, its deployment is hindered by its high CAPEX as well as the high OPEX linked with the energy required for the solvent regeneration process, reducing the global plant efficiency. Performing Exhaust Gas Recirculation (EGR) has the potential to lower the CC cost: indeed, the flue gas flow rate is reduced, while its CO₂ content is increased significantly, leading to a lower CC penalty. However, knowing that CCGTs will operate most of the time under part-load conditions to back-up renewable production, the impact of using EGR during part-load CCGT operating conditions is still unclear. Therefore, the objective of this work is to assess the performance of the entire CCGT+CC plant when EGR is applied during part-load operation, as well as to determine operational limitations. To this end, a thermodynamic analysis of a typical CCGT plant coupled with a conventional amine-based CC plant has been performed using Aspen Plus. The CCGT plant has been modeled without and with EGR and the CC plant, a conventional 30 wt.% monoethanolamine (MEA) absorption-regeneration process, has been designed and modeled for both cases (with and without EGR). The simulation results show that applying EGR has a positive impact on the performance of the CCGT+CC plant, strongly reducing the CC energy demand, even during part-load operation. Moreover, enough steam is produced in the steam cycle to feed the CC plant up to an operating load of 30%. The next step will involve improving the overall performance of the plant through better heat integration between the CCGT and the CC plants.

Presenting Author: Antoine Verhaeghe University of Mons

Presenting Author Biography: Antoine Verhaeghe graduated as mechanical engineer specialized in energy systems in 2020 at University of Mons. During his master thesis, he implemented adaptive mesh refinement for Large Eddy Simulation (LES) of turbulent combustion in combustion chamber of Micro Gas Turbines. This allowed to predict more accurately combustion products while reducing computational cost. He is now joining the BEST team by completing a PhD thesis at University of Mons. His work will focus on assessment of potential of Carbone Capture applied to Micro Gas Turbines and Combined Cycle Gas Turbines (CCGTs).

Authors:

Antoine Verhaeghe University of Mons
Maria Jose Mendoza Morales University of Mons
Julien Blondeau Vrije Universiteit Brussel (VUB)
Frederiek Demeyer ENGIE Laborelec
Laurent Bricteux University of Mons
Ward De Paepe University of Mons