SBA-15 Functionalized with Amines in the Presence of Water: Applications to CO2 Capture and Natural Gas Desulfurization

2021 ◽  
Author(s):  
John-Timothy Anyanwu ◽  
Yiren Wang ◽  
Ralph T. Yang
Keyword(s):  
Natural Gas ◽  
Co2 Capture ◽  
Natural Gas Desulfurization

scholarly journals Solvent Screening and Feasible Study of Retrofitting CO2 Capture System for Natural Gas Combined Cycle Power Plant

2014 ◽  
Vol 63 ◽  
pp. 2394-2401
Author(s):  
Satoshi Saito ◽  
Norihide Egami ◽  
Toshihisa Kiyokuni ◽  
Mitsuru Udatsu ◽  
Hideo Kitamura ◽  
...  
Keyword(s):  
Power Plant ◽  
Natural Gas ◽  
Co2 Capture ◽  
Combined Cycle ◽  
Combined Cycle Power Plant ◽  
Natural Gas Combined Cycle ◽  
Feasible Study

Energy and Exergy Analyses of a Power Plant With Carbon Dioxide Capture Using Multistage Chemical Looping Combustion

2016 ◽  
Vol 139 (3) ◽  
Author(s):  
Bilal Hassan ◽  
Oghare Victor Ogidiama ◽  
Mohammed N. Khan ◽  
Tariq Shamim
Keyword(s):  
Carbon Dioxide ◽  
Power Plant ◽  
Natural Gas ◽  
Co2 Capture ◽  
Power Plants ◽  
Waste Heat ◽  
Chemical Looping Combustion ◽  
Chemical Looping ◽  
Operating Pressure ◽  
Efficiency Gain

A thermodynamic model and parametric analysis of a natural gas-fired power plant with carbon dioxide (CO2) capture using multistage chemical looping combustion (CLC) are presented. CLC is an innovative concept and an attractive option to capture CO2 with a significantly lower energy penalty than other carbon-capture technologies. The principal idea behind CLC is to split the combustion process into two separate steps (redox reactions) carried out in two separate reactors: an oxidation reaction and a reduction reaction, by introducing a suitable metal oxide which acts as an oxygen carrier (OC) that circulates between the two reactors. In this study, an Aspen Plus model was developed by employing the conservation of mass and energy for all components of the CLC system. In the analysis, equilibrium-based thermodynamic reactions with no OC deactivation were considered. The model was employed to investigate the effect of various key operating parameters such as air, fuel, and OC mass flow rates, operating pressure, and waste heat recovery on the performance of a natural gas-fired power plant with multistage CLC. The results of these parameters on the plant's thermal and exergetic efficiencies are presented. Based on the lower heating value, the analysis shows a thermal efficiency gain of more than 6 percentage points for CLC-integrated natural gas power plants compared to similar power plants with pre- or post-combustion CO2 capture technologies.

Experimental and simulation study on high-pressure V-L-S cryogenic hybrid network for CO2 capture from highly sour natural gas

2021 ◽  
Author(s):  
Khuram Maqsood ◽  
Abulhassan Ali ◽  
Rizwan Nasir ◽  
Aymn Abdul Rehman ◽  
Abdullah. S. Bin Mahfouz ◽  
...  
Keyword(s):  
High Pressure ◽  
Natural Gas ◽  
Co2 Capture ◽  
Simulation Study ◽  
Hybrid Network

scholarly journals Redesign, Optimization, and Economic Evaluation of a Natural Gas Combined Cycle with the Best Integrated Technology CO2 Capture

2009 ◽  
Vol 1 (1) ◽  
pp. 3835-3842 ◽  
Author(s):  
Cristina Botero ◽  
Matthias Finkenrath ◽  
Michael Bartlett ◽  
Robert Chu ◽  
Gerald Choi ◽  
...  
Keyword(s):  
Economic Evaluation ◽  
Natural Gas ◽  
Co2 Capture ◽  
Combined Cycle ◽  
Integrated Technology ◽  
Natural Gas Combined Cycle

Pressure Prediction in Natural Gas Desulfurization Process Based on PCA and SVR

2014 ◽  
Vol 962-965 ◽  
pp. 564-569 ◽  
Author(s):  
Yan Chao Shao ◽  
Liang Jun Xu ◽  
Yan Zhu Hu ◽  
Xin Bo Ai
Keyword(s):  
Natural Gas ◽  
Prediction Model ◽  
Measured Data ◽  
Support Vector ◽  
Trend Prediction ◽  
Generalization Ability ◽  
Model Based ◽  
Scada System ◽  
Desulfurization Process ◽  
Natural Gas Desulfurization

Pressure monitoring is an important means to reflect the running status of the natural gas desulphurization process. By using the data mining technology, the interaction relationships between the pressure and other monitoring parameters are analyzed in this paper. A pressure trend prediction model is established to show the pressure status in the natural gas desulfurization process. Firstly, the theory of Principal Component Analysis (PCA) is used to reduce the dimensions of measured data from traditional Supervisory Control and Data Acquisition (SCADA) system. Secondly the principal components are taken as input data into the pressure trend prediction model based on multiple regression theory of Support Vector Regression (SVR). Finally the accuracy and the generalization ability of the model are tested by the measured data obtained from SCADA system. Compared with other prediction models, pressure trend prediction model based on PCA and SVR gets smaller MSE and higher correlation. The pressure trend prediction model gets better generalization ability and stronger robustness, and is an effective complement to SCADA system in the natural gas desulphurization process.

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