Integration of crude-oil scheduling and refinery planning by Lagrangean Decomposition

Yang, Haokun; Bernal, David E.; Franzoi, Robert E.; Engineer, Faramroze G.; Kwon, Kysang; Lee, Sechan; Grossmann, Ignacio E.

doi:10.1016/j.compchemeng.2020.106812

Cited by 28 publications

(7 citation statements)

References 26 publications

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“…The stockpile is masked with a pink color and this information is later used to calculate its height by finding the highest and lowest pixel position of the mask in the image for each vessel as expressed in below equations. The difference between these two gives an estimate of content level in pixel size (2). The same can be multiplied with the pixel ratio (1) to obtain the actual height of the stockpile (3).…”

Section: A Sensing (Data Measurement)mentioning

confidence: 99%

Cyber-Physical System Demonstration of an Automated Shuttle-Conveyor-Belt Operation for Inventory Control of Multiple Stockpiles: A Proof of Concept

et al. 2022

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Smart manufacturing in the so-called Industry 4.0 age pushes the research and development of laboratory-scale proof of concepts before its deployment in pilots and real-size equipment. As such, we present a cyber-physical system (CPS) demonstration in the mining industry field engineered to autonomously manage the handling of solids flowing in a conveyor-belt that drops materials in containers, forming multiple stockpiles per belt. The CPS operates to control multiple stockpiles' inventories using mixed-integer optimization that minimizes the square deviation of the measured inventory to their targets (heights). Within the sensing-optimizing-actuating (SOA) cycle, the CPS demonstration is performed as follows. First, the sensing (data measurement, data processing, and system evaluation) uses a deep neural network in real-time to assess the level of materials stored in transparent containers. Second, the optimizing (mathematical programming, optimization techniques, and decision-making capabilities) is performed using a flowsheet network formulation called unit-operation-port-state superstructure (UOPSS) that permits a fast solution for the position-idle-time-varying discrete manipulated variables as operational schedules. Third, the actuating (cyber-physical integration) implements a physical actuation solution through an integrated CPS environment. According to the findings of our experimentation, stockpiling process control in a smart manufacturing context has enormous potentials to control multiple stockpiles' inventory autonomously.

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Section: A Sensing (Data Measurement)mentioning

confidence: 99%

Cyber-Physical System Demonstration of an Automated Shuttle-Conveyor-Belt Operation for Inventory Control of Multiple Stockpiles: A Proof of Concept

et al. 2022

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“…Several global optimization methods for handling bilinear functions are reported in the literature [38,[43][44][45][46][47][48][49]. A common technique uses a spatial branch-and-bound framework [50], which is similar to the class of branch-and-bound methods developed for integer optimization problems (e.g., pure integer linear program (ILP) or MILP [51]) with the main difference in that spatial branch-and-bound methods perform branching on continuous rather than discrete variables.…”

Section: Fractionation Index Nonlinearmentioning

confidence: 99%

Computational Experience with Piecewise Linear Relaxations for Petroleum Refinery Planning

2021

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Refinery planning optimization is a challenging problem as regards handling the nonconvex bilinearity, mainly due to pooling operations in processes such as crude oil distillation and product blending. This work investigated the performance of several representative piecewise linear (or piecewise affine) relaxation schemes (referred to as McCormick, bm, nf5, and nf6t) and de (which is a new approach proposed based on eigenvector decomposition) that mainly give rise to mixed-integer optimization programs to convexify a bilinear term using predetermined univariate partitioning for instances of uniform and non-uniform partition sizes. The computational results showed that applying these schemes improves the relaxation tightness compared to only applying convex and concave envelopes as estimators. Uniform partition sizes typically perform better in terms of relaxation solution quality and convergence behavior. It was also seen that there is a limit on the number of partitions that contribute to relaxation tightness, which does not necessarily correspond to a larger number of partitions, while a direct relationship between relaxation size and tightness does not always hold for non-uniform partition sizes.

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“…Samples were taken and filtered after the time has elapsed. The level of pollution was quantified by measurement of COD before and after the treatment processes, hence, the degradation efficiency (%) was obtained using Equation (1).…”

Section: Photocatalytic Degradationmentioning

confidence: 99%

“…Petroleum refineries are complex systems of multiple operations [ 1 ] that depend on the type of crude refined, the desired products, composition of condensate, and the treatment processes; therefore, the characteristics of refinery wastewater vary according to these complex patterns [ 2 , 3 ]. Many of the processes in petroleum refineries use a very large amount of water [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Ultra-Violet Light and Iron Oxide Nanoparticles for the Treatment of Synthetic Petroleum Wastewater: Kinetics of COD Removal

et al. 2021

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In this study, the use of ultra-violet (UV) light with or without iron oxide nanoparticles (IONPs) for the degradation of synthetic petroleum wastewater was investigated. The IONPs was synthesised by sodium borohydride reduction of ferric chloride solution and was characterised by scanning electron microscopy (SEM), transmission electron microscopy (TEM), Fourier transform infrared spectrometry (FTIR), x-ray fluorescence spectrophotometry (XRF), and energy dispersive spectroscopy (EDS). The amount of degradation was evaluated by chemical oxygen demand (COD) determination. Experimental results show that the COD removal from synthetic petroleum wastewater by IONPs/UV system was more effective than they were independently. The combination of UV light at a wavelength of 254 nm, pH of 8, and 1.0 g of IONPs resulted in COD removal from 10.5% up to 95.5%. The photocatalytic degradation of synthetic petroleum wastewater is about 1.3–2.0 times faster in comparison to UV light only. The removal of COD from synthetic petroleum wastewater by UV light and IONPs follows the pseudo-first-order kinetic model with rate constant k ranging from 0.0133 min−1 to 0.0269 min−1. Consequently, this study has shown that the use of UV light in the presence of IONPs is favourable and effective for the removal of organic pollutants from petroleum refinery wastewater.

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Integration of crude-oil scheduling and refinery planning by Lagrangean Decomposition

Cited by 28 publications

References 26 publications

Cyber-Physical System Demonstration of an Automated Shuttle-Conveyor-Belt Operation for Inventory Control of Multiple Stockpiles: A Proof of Concept

Cyber-Physical System Demonstration of an Automated Shuttle-Conveyor-Belt Operation for Inventory Control of Multiple Stockpiles: A Proof of Concept

Computational Experience with Piecewise Linear Relaxations for Petroleum Refinery Planning

Performance Evaluation of Ultra-Violet Light and Iron Oxide Nanoparticles for the Treatment of Synthetic Petroleum Wastewater: Kinetics of COD Removal

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