scholarly journals Industrial application of gasoline aromatization and desulfurization technology in Hohhot refinery

2017 ◽  
Vol 23 (3) ◽  
pp. 391-398
Author(s):  
Zixia Li ◽  
Yin Ran ◽  
Wenqi Zhang ◽  
Wei Sun ◽  
Tinghai Wang

Gasoline aromatization and desulfurization (GARDES) technology is extensively used in refineries of Petrochina, aiming to produce high quality ultraclean fluid catalytic cracking (FCC) gasoline. This article introduces the industrial application results on the hydrodesulfurization unit of the Hohhot refinery, which plays an important role in guiding next round gasoline upgrading. The characteristics and the principle of GARDES technology were elaborated by analyzing the distribution of sulfur and hydrocarbon compounds in the feed and product. The analysis results proved that the presence of broad ranged sulfur types in the feed can be removed at different stages. Olefin can be decreased by saturation and conversion into i-paraffins and aromatics. The sulfur content of the blend product can be limited under 10 mg/kg, showing GARDES technology has excellent sulfur removal ability. The olefin reduction can also satisfy the ever-increasing severe requirement about the olefin limitation, while the loss of research octane number (RON) can be minimized to an acceptable level. Furthermore, according to the demand of gasoline upgrading, GARDES technology has great flexibility by adjusting operation condition without any further investment, which brings more economic benefits for refinery.

2021 ◽  
Author(s):  
Q Y Yan ◽  
X Lin ◽  
Z Q Qin ◽  
G L Luo ◽  
D Q Wang ◽  
...  

The controlling of exhaust gas from gasoline is crucial for atmospheric environment protection. Research Octane Number (RON) loss and restricted sulphur (S) content matter the quality of gasoline. To obtain gasoline with high quality, the paper proposes a novel data-driven optimization model integrating deep neural network (DNN) and genetic algorithm (GA) to model for Fluid Catalytic Cracking (FCC) process then optimize. To begin with, the DNN is used to fit the relations between 13 related input variables and output variables in FCC. Subsequently, the FCC process is modelled and GA is proposed to solve the optimization model. Ultimately, 305 samples from real datasets have been analysed to testify feasibility and effectiveness of the method. This paper provides a guideline for the production process of FCC gasoline.


Fuel ◽  
2021 ◽  
Vol 292 ◽  
pp. 120364
Author(s):  
Peipei Miao ◽  
Xiaolin Zhu ◽  
Yangling Guo ◽  
Jie Miao ◽  
Mengyun Yu ◽  
...  

2012 ◽  
Vol 26 (6) ◽  
pp. 3201-3211 ◽  
Author(s):  
Yaoshun Wen ◽  
Gang Wang ◽  
Chunming Xu ◽  
Jinsen Gao

2015 ◽  
Vol 41 (2) ◽  
pp. 3-11 ◽  
Author(s):  
Katarzyna Rychlewska ◽  
Krystyna Konieczny ◽  
Michał Bodzek

Abstract This paper presents the recent advances in pervaporative reduction of sulfur content in gasoline. Methods of preliminary selection of membrane active layer material are presented. Interactions between gasoline components (typical hydrocarbon and sulfur species) and membranes are showed. Influence of pervaporation process parameters i.e. feed temperature, downstream pressure and feed flow rate on the separation efficiency is discussed. Investigations of the influence of sulfur concentration in fluid catalytic cracking (FCC) gasoline on membrane performance have been conducted. A series of PV tests was carried out to investigate the separation properties of the commercial composite membrane with an active layer made of poly(dimethylsiloxane) and to determine the efficiency of organic sulphur compound (thiophene) removal from model thiophene/n-heptane mixture depending on its concentration.


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