A multi-period mathematical model for simultaneous optimization of materials and energy on the refining site scale

Zhang, B.J.; Liu, K.; Luo, Xianglong; Chen, Q.L.; Li, W.K.

doi:10.1016/j.apenergy.2015.01.044

Cited by 30 publications

(8 citation statements)

References 46 publications

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“…The vapor-liquid equilibrium in dew point controllers can be expressed by Eqs. [26][27][28][29][30]. The energy requirement for the dew point controllers is expressed as Eqs.…”

Section: Dew Point Controllermentioning

confidence: 99%

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Operational strategy and planning for raw natural gas refining complexes: Process modeling and global optimization

Zhang

Chen

et al. 2016

AIChE Journal

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Optimal operational strategy and planning of a raw natural gas refining complex (RNGRC) is very challenging since it involves highly nonlinear processes, complex thermodynamics, blending, and utility systems. In this paper, we first propose a superstructure integrating a utility system for the RNGRC, involving multiple gas feedstocks and different product specifications. Then, we develop a large-scale nonconvex mixed-integer nonlinear programming (MINLP) optimization model. The This article is protected by copyright. All rights reserved. Finally, the reformulated nonconvex MINLP model is solved to global optimality using state of the art deterministic global optimization approaches. The computational results demonstrate that a significant profit increase is achieved using the proposed approach compared to that from the real operation.

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“…The vapor-liquid equilibrium in dew point controllers can be expressed by Eqs. [26][27][28][29][30]. The energy requirement for the dew point controllers is expressed as Eqs.…”

Section: Dew Point Controllermentioning

confidence: 99%

“…We have investigated the model of the utility system in our previous publication. 28 The boiler model from Shang and Kokossis 29 is modified to express the correlations between the flow rate of generated steam and required fuel amount, as shown in Eq. 46.…”

Section: Boilersmentioning

confidence: 99%

Operational strategy and planning for raw natural gas refining complexes: Process modeling and global optimization

Zhang

Chen

et al. 2016

AIChE Journal

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“…López et al (2012López et al ( , 2013) integrated a system of three CDUs and its associated heat exchanger network (HEN) to account for the utilities cost in the profit calculation. Zhang et al (2015) included the optimization of the utilities network and hydrogen generation. Due to improved model accuracy, López et al (2012López et al ( , 2013 reported a profit increase of 13% in comparison with a base line, whereas Zhang et al (2015) claimed a 24% improvement after using their MINLP planning model.…”

Section: Introductionmentioning

confidence: 99%

“…Zhang et al (2015) included the optimization of the utilities network and hydrogen generation. Due to improved model accuracy, López et al (2012López et al ( , 2013 reported a profit increase of 13% in comparison with a base line, whereas Zhang et al (2015) claimed a 24% improvement after using their MINLP planning model.…”

Section: Introductionmentioning

confidence: 99%

Global optimization of large-scale MIQCQPs via cluster decomposition: Application to short-term planning of an integrated refinery-petrochemical complex

Uribe-Rodríguez

Castro

Guillén‐Gosálbez

et al. 2020

Computers & Chemical Engineering

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Integrated refinery-petrochemical facilities are complex systems that require advanced decisionsupport tools for optimal short-term planning of their operations. The problem can be formulated as a mixed-integer quadratically constrained quadratic program (MIQCQP), in which discrete decisions select operating modes for the process units, while the entire process network is represented by inputoutput relationships based on bilinear expressions describing yields and stream properties, pooling equations, fuels blending indices and cost indicators. We develop a novel decomposition-based

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“…Zhang et al 22 developed a multiperiod MINLP model that aims to optimize the production plan of a refinery site accounting for the material and energy requirements. Nonlinearities appear in the pour-point blending equations.…”

Section: Introductionmentioning

confidence: 99%

Global Optimization of Refinery-wide Production Planning with Highly Nonlinear Unit Models

Siamizade

2019

Ind. Eng. Chem. Res.

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Optimization of the refinery production is essential for the economic success of a petroleum refinery. Classical refinery production planning models employ input− output relationships for different refinery units. However, these input−output relationships usually do not include decision making variables related to the units' operation (pressure, temperature, etc.). In addition, they fail to capture the nonlinear nature of the refinery units, and the inaccuracy caused by these models may reduce the overall profitability or compromise product quality. The corresponding nonlinear refinery problem is nonconvex due to the presence of bilinear or quadratic, exponential or logarithmic terms in some of the mass balance, product yield, and quality constraints, and hence the standard methods for solving this refinery-wide optimization problem may fail to converge to a solution or lead to suboptimal solutions. In this work, a planning model for refinery-wide production is proposed which employs two different nonlinear models for the distillation unit and empirical nonlinear models for the remaining refinery units. The effectiveness of the nonlinear models in terms of improving the overall refinery profit margin over a linear input−output model has been investigated. In addition, the global optimal solution of refinery profit substantiates the huge advantage of nonlinear model utilizing distillation correlations based on Geddes fractionation index over the data-based nonlinear and linear input−output models. From a managerial perspective, this study provides an effective tool to make advanced decisions on the amount of the crude oil to purchase and to obtain higher profits by adjusting process severity which results in maximum yield and the desired product property.

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A multi-period mathematical model for simultaneous optimization of materials and energy on the refining site scale

Cited by 30 publications

References 46 publications

Operational strategy and planning for raw natural gas refining complexes: Process modeling and global optimization

Operational strategy and planning for raw natural gas refining complexes: Process modeling and global optimization

Global optimization of large-scale MIQCQPs via cluster decomposition: Application to short-term planning of an integrated refinery-petrochemical complex

Global Optimization of Refinery-wide Production Planning with Highly Nonlinear Unit Models

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