A Hydroprocessing Multicatalyst Deactivation and Reactor Performance Model−Pilot-Plant Life Test Applications

E. K. T. Kam; M. Al-Shamali; M. Juraidan; H. Qabazard

doi:10.1021/ef049843s

A Hydroprocessing Multicatalyst Deactivation and Reactor Performance Model−Pilot-Plant Life Test Applications

Energy & Fuels ◽

10.1021/ef049843s ◽

2005 ◽

Vol 19 (3) ◽

pp. 753-764 ◽

Cited By ~ 34

Author(s):

E. K. T. Kam ◽

M. Al-Shamali ◽

M. Juraidan ◽

H. Qabazard

Keyword(s):

Pilot Plant ◽

Performance Model ◽

Reactor Performance ◽

Life Test ◽

Plant Life

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Machine Learning-Based Prediction of a BOS Reactor Performance from Operating Parameters

Processes ◽

10.3390/pr8030371 ◽

2020 ◽

Vol 8 (3) ◽

pp. 371

Author(s):

Alireza Rahnama ◽

Zushu Li ◽

Seetharaman Sridhar

Keyword(s):

Machine Learning ◽

Pilot Plant ◽

Oxygen Flow ◽

Operating Parameters ◽

Reactor Performance ◽

Total Oxygen ◽

Decarburization Rate ◽

Lance Height ◽

Positive Correlation ◽

Waste Gas

A machine learning-based analysis was applied to process data obtained from a Basic Oxygen Steelmaking (BOS) pilot plant. The first purpose was to identify correlations between operating parameters and reactor performance, defined as rate of decarburization (dc/dt). Correlation analysis showed, as expected a strong positive correlation between the rate of decarburization (dc/dt) and total oxygen flow. On the other hand, the decarburization rate exhibited a negative correlation with lance height. Less obviously, the decarburization rate, also showed a positive correlation with temperature of the waste gas and CO2 content in the waste gas. The second purpose was to train the pilot-plant dataset and develop a neural network based regression to predict the decarburization rate. This was used to predict the decarburization rate in a BOS furnace in an actual manufacturing plant based on lance height and total oxygen flow. The performance was satisfactory with a coefficient of determination of 0.98, confirming that the trained model can adequately predict the variation in the decarburization rate (dc/dt) within BOS reactors.

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Hydrogen sulphide removal in the anaerobic digestion of sludge by micro-aerobic processes: pilot plant experience

Water Science & Technology ◽

10.2166/wst.2009.738 ◽

2009 ◽

Vol 60 (12) ◽

pp. 3045-3050 ◽

Cited By ~ 36

Author(s):

M. Fdz.-Polanco ◽

I. Díaz ◽

S. I. Pérez ◽

A. C. Lopes ◽

F. Fdz.-Polanco

Keyword(s):

Anaerobic Digestion ◽

Hydrogen Sulphide ◽

Pilot Plant ◽

Biogas Production ◽

Reactor Performance ◽

Low Oxygen ◽

H2s Removal ◽

Sulphide Concentration ◽

Working Volume ◽

Aerobic Processes

H2S removal from biogas produced in anaerobic digestion of sludge through the introduction of oxygen under micro-aerobic conditions is studied. Research was carried out in two pilot plant reactors (working volume, 200 L each) treating sludge from WWTP with HRT of 20 days. Mixing was provided via sludge or biogas recirculation. Introduction of very low oxygen flow (0.013–0.024 L/Lreactor d) successfully removed H2S content in biogas with an efficiency above 99%. Reactor performance during micro-aerobic operation in terms of biogas production, methane yield and COD removal were not affected by the amount of oxygen supplied, remaining stable and similar to the anaerobic behaviour. Sludge recirculation (∼50 L/h) and biogas recirculation (∼3.5 L/min) as mixing methods were found not significant in H2S removal from biogas while biogas recirculation reduced by 10 times dissolved sulphide concentration compared to sludge recirculation.

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