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contributor authorRisimini, Gabriele Pio
contributor authorMartinelli, Matteo
contributor authorChiesa, Paolo
contributor authorMartelli, Emanuele
date accessioned2023-11-29T18:38:07Z
date available2023-11-29T18:38:07Z
date copyright10/19/2022 12:00:00 AM
date issued10/19/2022 12:00:00 AM
date issued2022-10-19
identifier issn0742-4795
identifier othergtp_145_01_011008.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4294277
description abstractAmong the technologies for carbon capture and storage (CCS) from natural gas, oxy-turbine plants are a very promising solution thanks to the high efficiency, absence of stack, and nearly 100% capture rate. This paper investigates the efficiency which can be achieved by the semi-closed oxy-combustion combined cycle (SCOC-CC) with state-of-the-art and future blade materials. In particular, the analysis considers class-H turbine superalloys with a maximum blade wall temperature of 900 °C and ceramic matrix composites with blade wall temperatures of 1300 °C. Sensitivity analyses are performed to determine the optimal pressure ratio and turbine inlet temperature. The results indicate that state-of-the-art superalloys allow the SCOC-CC to achieve 54% net electric efficiency with a 96% carbon capture rate, while ceramic matrix composite (CMC) blades boost the efficiency up to 60%. For both cases, critical factors are the high temperature gradients across the blade coatings (thermal barrier coating (TBC) for superalloy, environmental barrier coating (EBC) for CMC) and the blade thickness caused by the large heat flux exchanged between hot gases and cooling flows.
publisherThe American Society of Mechanical Engineers (ASME)
titlePerformance Optimization of Semi-Closed Oxy-Combustion Combined Cycle for Current and Future Blade Materials
typeJournal Paper
journal volume145
journal issue1
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4055790
journal fristpage11008-1
journal lastpage11008-12
page12
treeJournal of Engineering for Gas Turbines and Power:;2022:;volume( 145 ):;issue: 001
contenttypeFulltext


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