Exergoenvironmental Analysis of Tetrahydrofuran/Ethanol Separation through Extractive and Pressure-Swing Distillation

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Patrick Vaz Mangili ◽  
Diego Martinez Prata

AbstractExtractive distillation uses a high-boiling point solvent for changing the relative volatility of the azeotropic mixture, whereas pressure-swing distillation is based on the difference of operating pressures for such a purpose. In this paper, said separation technologies were applied to a tetrahydrofuran/ethanol mixture and compared with regard to their thermodynamic and environmental performances. The former was assessed by determining the total exergy destruction rate and rational efficiency of each configuration, while the latter was evaluated by estimating their respective indirect carbon emissions. The results showed that the pressure-swing process has not only the lowest exergy destruction rate (383.1 kW) but also the lowest CO2 emission rate (678.7 kg/h), which is mainly due to its lower thermal energy requirements. A sensitivity analysis was then carried out in order to determine how the carbon emissions respond to both the efficiency and the fuel type of the utility boiler.

2008 ◽  
Vol 59 (2) ◽  
pp. 231-242
Author(s):  
Florin Oprea ◽  
Ionut Stoica

It is now a fact that biofuels have a certain future, whether it is about �biodiesel� or �bioethanol�. EU intends to impose continuous increase of biofuels proportion in commercial products. Ethanol can be used �per se� in commercial gasoline (in different proportions) or can be used instead of methanol in etherification reaction. In both cases it is necessary to use anhydrous ethanol. There are several drying processes: azeotropic distillation, extractive distillation, pressure swing distillation, and adsorption. Present work proposes azeotropic distillation using like entrainer petroleum cuts or commercial gasoline pool. Finally, anhydrous ethanol contains hydrocarbons in several proportions and can be used like commercial gasoline component. The main advantage of this process is that the separation alcohol-hydrocarbons is not so tight, resulting important reducing of the energy consumption in process. There is used a rigorous thermodynamic model as the results are very trusted.


2013 ◽  
Vol 803 ◽  
pp. 149-152 ◽  
Author(s):  
Zhi Dong Fan ◽  
Xu Bin Zhang ◽  
Lu Yang Zhao ◽  
Wang Feng Cai ◽  
Fu Min Wang

As an important solvent, tetrahydrofuran has broad applications. Due to its process of production, water will be mixed into the product and should be removed. However, tetrahydrofuran will form a minimum boiling azeotrope with water, which has a boiling point of 63.4°C, so general distillation can not separate them. Common methods to solve this include extractive distillation, pressure swing distillation, azeotropic distillation, pervaporation and so on. In this experiment, we coupled extractive distillation and general distillation, selecting ethylene glycol as the extractant, and successfully dehydrated the azeotrope. The mass fraction of water is reduced from 18% to less than 500ppm,which matches the requirement.


2020 ◽  
Vol 10 (18) ◽  
pp. 6532
Author(s):  
Mehri Akbari Kordlar ◽  
Florian Heberle ◽  
Dieter Brüggemann

The difference in heating or cooling to power ratio between required demands for district networks and the proposed tri-generation system is the most challenging issue of the system configuration and design. In this work, an adjustable, novel tri-generation system driven by geothermal resources is proposed to supply the thermal energies of a specific district network depending on ambient temperature in Germany. The tri-generation system is a combination of a modified absorption refrigeration cycle and a Kalina cycle using NH3-H2O mixture as a working fluid for the whole tri-generation system. A sensitive analysis of off-design conditions is carried out to study the effect of operational parameters on the system performances prior to optimizing its performance. The simulation show that the system is able to cover required heating and cooling demands. The optimization is applied considering the maximum exergy efficiency (scenario 1) and minimum total exergy destruction rate (scenario 2). The optimization results show that the maximum mean exergy efficiency in scenario 1 is achieved as 44.67% at the expense of 14.52% increase in the total exergy destruction rate in scenario 2. The minimum mean total exergy destruction rate in scenario 2 is calculated as 2980 kW at the expense of 8.32% decrease in the exergy efficiency in scenario 1.


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