scholarly journals Optimizing for Viability – Revamping Vacuum Distillation Unit in a Brownfield Project

2020 ◽  
Vol 3 (11) ◽  
pp. 91-94
Author(s):  
Saiful Anuar Mohd Mokhtar ◽  
Marina Mosir
Keyword(s):  
Vacuum Distillation ◽  
Cooling Water ◽  
Water Systems ◽  
Oil Refinery ◽  
Distillation Unit ◽  
Steam Ejector ◽  
Ejector System ◽  
Steam Cooling ◽  
Multiple Product ◽  
Operating Plant

Revamping an existing column in an operating plant for a higher throughput is always a challenge especially when the column is already operating at its rated capacity. This is particularly true for a Vacuum Distillation Unit (VDU) column which involves multiple product and pump-around streams and associated auxiliary units like a steam ejector system. Optimizing the design and operation of the column, hence, is inevitable to ensure the viability of a brownfield project as it avoids major modifications required to the column and its associated auxiliary systems. This paper discusses how optimization was done on the design and operation of an existing VDU column in an oil refinery, avoiding major modifications of the associated ejector, steam, cooling water, sour water systems and heat exchanger network, allowing a brownfield project to stay commercially viable.

scholarly journals Multi Input Multi Output (MIMO) Control 2x2 at Vacuum Distillation Unit for LVGO, MVGO, and HVGO Production

2018 ◽  
Vol 67 ◽  
pp. 03012
Author(s):  
Abdul Wahid ◽  
Naufal Syafiq Maro
Keyword(s):  
Performance Improvement ◽  
Predictive Control ◽  
Vacuum Distillation ◽  
Pi Controller ◽  
Oil Refinery ◽  
Distillation Unit ◽  
Control Performance ◽  
Multivariable Model ◽  
Atmospheric Residue ◽  
Better Than

Currently, Indonesia is still experiencing a fuel deficit, so it is necessary to build a new oil refinery and a process optimization at an existing refinery. A vacuum distillation unit (VDU) is used to process the atmospheric residue products from crude distillation unit (CDU). A multivariable model predictive control (MMPC) is proposed to improve a control performance in VDU because of the interaction between variables in the unit. Therefore, it is necessary to find the variables that interact with each other. In this study only two variables are discussed. Set point (SP) and disturbance changes are used to test the control performance with integral of square error (ISE) as the indicator. The results are compared with the control performance of the PI controller and a single MPC. As a result, the feed flow rate and bottom-stage temperature are strongest interactions so that both are determined as controlled variables in MMPC. The control performance of MMPC is better than the PI controller and the single MPC with control performance improvement of 48% to the PI controller and 21% to MPC on for Feed Flow Rates, and 98% to the PI controller and 27% to MPC on Bottom Stage Temperature. While on disturbance changes the enhancement is 35% for the Bottom Stage Temperature.

scholarly journals Waste reduction algorithm used as the case study of simulated bitumen production process

2011 ◽  
Vol 65 (2) ◽  
pp. 197-204
Author(s):  
Marina Savic ◽  
Mica Jovanovic ◽  
Jelena Tanasijevic ◽  
Ozren Ocic ◽  
Aleksandar Spasic ◽  
...  
Keyword(s):  
Environmental Impact ◽  
Production Process ◽  
Vacuum Distillation ◽  
Waste Reduction ◽  
Oil Refinery ◽  
Production Unit ◽  
Distillation Unit ◽  
Reduction Algorithm ◽  
Atmospheric Distillation ◽  
Helping Process

Waste reduction algorithm - WAR is a tool helping process engineers for environmental impact assessment. WAR algorithm is a methodology for determining the potential environmental impact (PEI) of a chemical process. In particular, the bitumen production process was analyzed following three stages: a) atmospheric distillation unit, b) vacuum distillation unit, and c) bitumen production unit. Study was developed for the middle sized oil refinery with capacity of 5000000 tones of crude oil per year. Results highlight the most vulnerable aspects of the environmental pollution that arise during the manufacturing process of bitumen. The overall rates of PEI leaving the system (PEI/h) - Iout PEI/h are: a) 2.14105, b) 7.17104 and c) 2.36103, respectively. The overall rates of PEI generated within the system - Igen PEI/h are: a) 7.75104, b) -4.31104 and c) -4.32102, respectively. Atmospheric distillation unit have the highest overall rate of PEI while the bitumen production unit have the lowest overall rate of PEI. Comparison of Iout PEI/h and Igen PEI/h values for the atmospheric distillation unit, shows that the overall rate of PEI generated in the system is 36.21% of the overall rate of PEI leaving the system. In the cases of vacuum distillation and bitumen production units, the overall rate of PEI generated in system have negative values, i.e. the overall rate of PEI leaving the system is reduced at 60.11% (in the vacuum distillation unit) and at 18.30% (in the bitumen production unit). Analysis of the obtained results for the overall rate of PEI, expressed by weight of the product, confirms conclusions.

Fluorescent-tagged no phosphate and nitrogen free calcium phosphate scale inhibitor for cooling water systems

2009 ◽  
Vol 113 (3) ◽  
pp. 1966-1974 ◽  
Author(s):  
Kun Du ◽  
Yuming Zhou ◽  
Liuqian Wang ◽  
Yingying Wang
Keyword(s):  
Calcium Phosphate ◽  
Cooling Water ◽  
Water Systems ◽  
Free Calcium ◽  
Scale Inhibitor

scholarly journals On Synthesis and Optimization of Cooling Water Systems with Multiple Cooling Towers

2011 ◽  
Vol 50 (7) ◽  
pp. 3775-3787 ◽  
Author(s):  
Khunedi Vincent Gololo ◽  
Thokozani Majozi
Keyword(s):  
Cooling Water ◽  
Water Systems ◽  
Cooling Towers
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