scholarly journals Prospective Evaluation of Spent Sulfuric Acid Recovery by Process Simulation

Author(s):  
Krisztina Várnai ◽  
László Petri ◽  
Lajos Nagy

This study presents the steady-state simulation and optimization with regard to the recovery of spent sulfuric acid. Our purpose was to prove the utility of process simulation in terms of designing with special materials using energy-efficient methods. Process simulation is used in order to compare technological variants, analyze technological problems that occur as well as optimize the process. In this investigation three concentration processes are compared: azeotropic distillation and multiple-effect evaporation both in co-current and counter-current modes. The main aspects of the comparison are energy consumption and heat efficiency. Process simulation is an adequate tool for analyzing the thermal decomposition of sulfuric acid, the presence of sulfuric acid in the vapor fraction, and the costs of applying a third agent. Here, three models and a simulation-based prospective evaluation of energy consumption and the economy are presented. It is shown that the process of azeotropic distillation consumes an extremely large amount of thermal energy which seems to be more than that consumed by single-effect evaporation, while triple-effect evaporation in the counter-current mode was found to be the most thermally efficacious.

2021 ◽  
Vol 65 (2) ◽  
pp. 281
Author(s):  
Periodica Polytechnica Chemical Engineering

Krisztina Várnai, László Petri, Lajos Nagy "Prospective Evaluation of Spent Sulfuric Acid Recovery by Process Simulation", 65(2), pp. 243–250, 2021. (in this issue)https://doi.org/10.3311/PPch.15679When the above article was first published online Fig. 8 was incorrect. This has now been corrected in the online version. The correct version of Fig. 8 is published here.


Author(s):  
Lili Zuo ◽  
Changchun Wu ◽  
Song Liu ◽  
Yong Jiang ◽  
Xiaorui Zhang

Based on process principles and the operational features of crude oil pipelines, this research developed mathematical models to optimize steady-state pipeline operation, to apportion monthly flow into daily or hourly flow rates, and to predict monthly energy consumption. Corresponding algorithms were also developed. Because these models and corresponding algorithms are process-based, they are suitable for predicting monthly energy consumption of existing isothermal and hot crude oil pipelines. The predicted monthly energy consumption of crude oil pipelines depends on which flow distribution method is used, which pumping operation scheme is used and which heating operation scheme is used, with different flow distributions, different pumping and heating operation scheme yielding a range of monthly energy consumption predictions for a given transportation volume. The minimum monthly energy consumption can be determined from these predictions, and the interval of the predictions can indicate the extent to which the flow rate fluctuation affects pipeline energy consumption. Both of these findings can be used by pipeline operators to reduce the amount of energy needed to operate crude oil pipelines.


2013 ◽  
Vol 33 (4) ◽  
pp. 149-158
Author(s):  
Dong Hyuk Chun ◽  
Nam Sun Nho ◽  
Sang Do Kim ◽  
Young Joon Rhim ◽  
Ho Kyung Choi ◽  
...  

AIChE Journal ◽  
1997 ◽  
Vol 43 (4) ◽  
pp. 1032-1040 ◽  
Author(s):  
J. U. Mallaya ◽  
S. E. Zitney ◽  
S. Choudhary ◽  
M. A. Stadtherr

2021 ◽  
Vol 624 ◽  
pp. 119108
Author(s):  
Huaqing Liu ◽  
Jianzhong Xia ◽  
Kangjie Cui ◽  
Junquan Meng ◽  
Rui Zhang ◽  
...  

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