scholarly journals Surface-Response Analysis for the Optimization of a Carbon Dioxide Absorption Process Using [hmim][Tf2N]

Processes ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1063
Author(s):  
Grazia Leonzio ◽  
Edwin Zondervan

The [hmim][Tf2N] ionic liquid is considered in this work to develop a model in Aspen Plus® capturing carbon dioxide from shifted flue gas through physical absorption. Ionic liquids are innovative and promising green solvents for the capture of carbon dioxide. As an important aspect of this research, optimization is carried out for the carbon capture system through a central composite design: simulation and statistical analysis are combined together. This leads to important results such as the identification of significant factors and their combinations. Surface plots and mathematical models are developed for capital costs, operating costs and removal of carbon dioxide. These models can be used to find optimal operating conditions maximizing the amount of captured carbon dioxide and minimizing total costs: the percentage of carbon dioxide removal is 93.7%, operating costs are 0.66 million €/tonCO2 captured (due to the high costs of ionic liquid), and capital costs are 52.2 €/tonCO2 captured.

2021 ◽  
Author(s):  
Amita Chaudhary ◽  
Ashok N Bhaskarwar

Abstract Concentration of carbon dioxide gas has accelerated from the last two decades which cause drastic changes in the climatic conditions. In industries, carbon capture plants use volatile organic solvent which causes many environmental threats. So, a low-cost green absorbent has been formulated with nontoxicity and high selectivity properties for absorbing carbon dioxide gas. This paper contains the synthesis process along with the structure confirmation using 1H NMR, 13C NMR, FT-IR, and mass spectroscopy. Density, viscosity, and diffusivity are measured at different ranges with standard instruments. The kinetic studies were also conducted in a standard predefined-interface stirred-cell reactor. The kinetic parameters were calculated at different parameters like agitation speeds, absorption temperature, initial concentrations of ionic liquid, and partial pressure of carbon dioxide. The reaction regime of carbon dioxide absorption is found to be in fast reaction kinetics with pseudo first order. The reaction rate and the activation energy of CO2 absorption are experimentally determined in the range of 299 K to 333K with different initial concentrations of ionic liquid (0.1-1.1 kmol/m3). The second order rate constant and activation energy of carbon dioxide absorption in the synthesized ionic liquid is found to be (6385.93 to 12632.01 m3 mol-1 s-1) and 16.61 kJ mol−1 respectively. This solvent has shown great potential to absorb CO2 at large scale.


2012 ◽  
Vol 97 ◽  
pp. 20-25 ◽  
Author(s):  
Peter Janiczek ◽  
Roland Stefan Kalb ◽  
Gerhard Thonhauser ◽  
Thomas Gamse

Author(s):  
Brentan R. Alexander ◽  
Ahmed F. Ghoniem

The Graz Cycle is a unique power cycle design that has been proposed for the conversion of coal derived syngas or natural gas into mechanical energy while capturing carbon dioxide. The hydrocarbon is burned in pure oxygen, and water is condensed before a portion of the products are recycled back. Previous analyses have shown theoretical efficiencies of 56.12% [1]. Such a high theoretical efficiency, combined with carbon dioxide capture, makes this cycle design highly attractive. Little previous work has gone into optimizing the Graz Cycle design. Optimizing complex power cycles is complicated by the fact that a change in the operating conditions of one component of the cycle can alter temperatures and pressures around the rest of the cycle, impacting the performance of other cycle machinery. This paper addresses this issue through the application of a multivariable optimization algorithm. We have developed a model for the Graz Cycle using simplified equations of state and verified the results against previous studies. This model predicts a cycle efficiency of 56.72%, while the orginal calculation shows a value of 56.12% [1]. These values do not account for efficiency losses in the liquefaction and sequestration of carbon dioxide, or the efficiency penalty associated with coal gasification when syngas is used. A sensitivity analysis was performed on our model in order to identify the impact of key system parameters, including cycle temperatures, pressures, and molar flow rates, on the efficiency. This procedure, which amounts to changing one parameter at a time to maximize efficiency, resulted in an optimized efficiency of 57.84%. A computational optimization algorithm based on a simulated annealing scheme was then devised and used to alter system parameters simultaneously. An overall theoretical efficiency of 60.11% was achieved using this method. Another optimization scheme which accounts for hardware limitations and plant capital costs was also studied. This optimization yielded an efficiency of 58.76% while limiting the system high pressure to 110 bar. The results reveal that complex relationships between plant costs, fuel costs, and overall efficiency can be taken into account in a single unified analysis that minimizes a plant’s lifetime cost per unit of output. We demonstrate that the optimized cycle is actually simpler that the original cycle, without losing efficiency.


2003 ◽  
Vol 5 (2) ◽  
pp. 232-235 ◽  
Author(s):  
Danielle Ballivet-Tkatchenko ◽  
Michel Picquet ◽  
Maurizio Solinas ◽  
Giancarlo Franciò ◽  
Peter Wasserscheid ◽  
...  

Author(s):  
Ladislav Vesely ◽  
K. R. V. Manikantachari ◽  
Subith Vasu ◽  
Jayanta Kapat ◽  
Vaclav Dostal ◽  
...  

With the increasing demand for electric power, the development of new power generation technologies is gaining increased attention. The supercritical carbon dioxide (S-CO2) cycle is one such technology, which has relatively high efficiency, compactness, and potentially could provide complete carbon capture. The S-CO2 cycle technology is adaptable for almost all of the existing heat sources such as solar, geothermal, fossil, nuclear power plants, and waste heat recovery systems. However, it is known that, optimal combinations of: operating conditions, equipment, working fluid, and cycle layout determine the maximum achievable efficiency of a cycle. Within an S-CO2 cycle the compression device is of critical importance as it is operating near the critical point of CO2. However, near the critical point, the thermo-physical properties of CO2 are highly sensitive to changes of pressure and temperature. Therefore, the conditions of CO2 at the compressor inlet are critical in the design of such cycles. Also, the impurity species diluted within the S-CO2 will cause deviation from an ideal S-CO2 cycle as these impurities will change the thermodynamic properties of the working fluid. Accordingly the current work examines the effects of different impurity compositions, considering binary mixtures of CO2 and: He, CO, O2, N2, H2, CH4, or H2S; on various S-CO2 cycle components. The second part of the study focuses on the calculation of the basic cycles and component efficiencies. The results of this study will provide guidance and defines the optimal composition of mixtures for compressors and coolers.


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