화학공학소재연구정보센터
검색결과 : 24건
No. Article
1 Development of polyethylenimine (PEI)-impregnated mesoporous carbon spheres for low-concentration CO2 capture
Chen QJ, Wang SY, Rout KR, Chen D
Catalysis Today, 369, 69, 2021
2 A parametric study of process design and cycle configurations for pre-combustion PSA applied to NGCC power plants
Solares RAA, Wood J
Chemical Engineering Research & Design, 160, 141, 2020
3 Operating the CO2 absorption plant in a post-combustion unit in flexible mode for cost reduction
Moioli S, Pellegrini LA
Chemical Engineering Research & Design, 147, 604, 2019
4 Low-emission offshore Gas-To-Wire from natural gas with carbon dioxide: Supersonic separator conditioning and post-combustion decarbonation
Interlenghi SF, Silva RDF, de Medeiros JL, Araujo MDF
Energy Conversion and Management, 195, 1334, 2019
5 Water usage and energy penalty of different hybrid cooling system configurations for a natural gas combined cycle power plant-Effect of carbon capture unit integration
Ali SWM, Vahedi N, Romero C, Banerjee A
International Journal of Energy Research, 43(11), 5879, 2019
6 Study on the configuration of bottom cycle in natural gas combined cycle power plants integrated with oxy-fuel combustion
Xiang YL, Cai L, Guan YW, Liu WB, Han YX, Liang Y
Applied Energy, 212, 465, 2018
7 Optimal design and operation of integrated solar combined cycles under emissions intensity constraints
Brodrick PG, Brandt AR, Durlofsky LJ
Applied Energy, 226, 979, 2018
8 Optimization of the design, operating conditions, and coupling configuration of combined cycle power plants and CO2 capture processes by minimizing the mitigation cost
Mores PL, Manassaldi JI, Scenna NJ, Caballero JA, Mussati MC, Mussati SF
Chemical Engineering Journal, 331, 870, 2018
9 Thermal integration of natural gas combined cycle power plants with CO2 capture systems and organic Rankine cycles
Esquivel-Patino GG, Serna-Gonzalez M, Napoles-Rivera F
Energy Conversion and Management, 151, 334, 2017
10 Multiple Sensor Validation for Natural Gas Combined Cycle Power Plants Based on Robust Input Training Neural Networks
Ren SJ, Si FQ, Gu H
Journal of Chemical Engineering of Japan, 50(3), 186, 2017