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 |