Operation and Design Optimisation of Industrial Low-Density Polyethylene Tubular Reactor for Multiple Objectives Using an Evolutionary Algorithm-Based Strategy

Rohman, Fakhrony Sholahudin; Muhammad, Dinie; Zahan, Khairul Azly; Murat, Muhamad Nazri

doi:10.1007/s41660-023-00308-z

Cited by 4 publications

(2 citation statements)

References 33 publications

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“…The total heat-transfer coefficient is lower under fouling conditions. Equation ( 16) is used to compute the ( R f ) value 15,19 :…”

Section: Determination Of R F Using Industrial Plant Datamentioning

confidence: 99%

“…17 The lower R f is better to avoid the fouling effect. 19 Table 2 summarizes the results of dynamic optimization for the tubular reactor for LDPE polymerization at the reactor outlet. All attributes for Case 1 have varied from the usual product grade properties as compared to the Base Case.…”

Section: Dynamic Optimization Of Tubular Reactor For Ldpe Polymerizationmentioning

confidence: 99%

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Orthogonal collocation based‐optimization of fouling resistance for industrial low‐density polyethylene production in a tubular reactor

Rohman,

Muhammad,

Idris

et al. 2023

Optim Control Appl Methods

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In tubular reactors, fouling issues are caused due to two reasons. One is the heating–cooling prerequisite, and the other is the exothermic nature of the low‐density polyethylene (LDPE) polymerization process. These issues must be considered while optimizing LDPE production to provide maximum productivity and a safe operation. However, it is not a simple process because the conversion of the monomer (XM) is generally related to significant profits. This conversion might be performed at high reaction temperatures, resulting in fouling formation. Therefore, in this research, a study of dynamic optimization to find the most efficient production of LDPE in the presence of fouling resistance (Rf) restrictions is conducted. An Rf is employed as a measure of fouling. To establish the highest reactor Rf , this study employs variations in the heat transfer coefficient (U) calculated from industry data. This dynamic optimization study addresses the optimization challenges using dynopt coded programming based on orthogonal collocation (OC) and sequential quadratic programming methodologies. Beforehand, the LDPE model is validated with industrial data. This study evaluates three possibilities to determine the most optimum reactor performance. The most optimum reactor output is determined from the constrained maximum conversion, which gave 32.15% conversion, while the was effectively met at 47.37cm2 s K/cal.

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“…The total heat-transfer coefficient is lower under fouling conditions. Equation ( 16) is used to compute the ( R f ) value 15,19 :…”

Section: Determination Of R F Using Industrial Plant Datamentioning

confidence: 99%

Section: Dynamic Optimization Of Tubular Reactor For Ldpe Polymerizationmentioning

confidence: 99%

Orthogonal collocation based‐optimization of fouling resistance for industrial low‐density polyethylene production in a tubular reactor

Rohman,

Muhammad,

Idris

et al. 2023

Optim Control Appl Methods

View full text Add to dashboard Cite

show abstract

Artificial Hummingbird-Based Optimisation with Advanced Crowding Distance of Energy Reduction in the Polyethylene Reactors

Rohman,

Alwi,

Muhammad

et al. 2023

Process Integr Optim Sustain

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Application of multi-objective neural network algorithm in industrial polymerization reactors for reducing energy cost and maximising productivity

Rohman,

Wan Alwi,

Muhammad

et al. 2024

Digital Chemical Engineering

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Operation and Design Optimisation of Industrial Low-Density Polyethylene Tubular Reactor for Multiple Objectives Using an Evolutionary Algorithm-Based Strategy

Cited by 4 publications

References 33 publications

Orthogonal collocation based‐optimization of fouling resistance for industrial low‐density polyethylene production in a tubular reactor

Orthogonal collocation based‐optimization of fouling resistance for industrial low‐density polyethylene production in a tubular reactor

Artificial Hummingbird-Based Optimisation with Advanced Crowding Distance of Energy Reduction in the Polyethylene Reactors

Application of multi-objective neural network algorithm in industrial polymerization reactors for reducing energy cost and maximising productivity

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