Multi-objective Bonobo optimisers of industrial low-density polyethylene reactor
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Fakhrony Sholahudin Rohman
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Dinie Muhammad
Abstract
A multi-objective optimization (MOO) technique to produce a low-density polyethylene (LDPE) is applied to address these two problems: increasing conversion and reducing operating cost (as the first optimization problem, P1) and increasing productivity and reducing operating cost (as the second optimization problem, P2). ASPEN Plus software was utilized for the model-based optimization by executing the MOO algorithm using the tubular reactor model. The multi-objective optimization of multi-objective Bonobo optimisers (MOBO-I, MOBO-II and MOBO-III) are utilised to solve the optimization problem. The performance matrices, including hypervolume, pure diversity, and distance, are used to decide on the best MOO method. An inequality constraint was introduced on the temperature of the reactor to prevent run-away. According to the findings of the study, the MOBO-II for Problems 1 and 2 was the most effective MOO strategy. The reason is that the solution set found represents the most accurate, diversified, and acceptable distribution points alongside the Pareto Front (PF) in terms of homogeneity. The minimum operating cost, the maximum conversion and productivity obtained by MOBO-II are Mil. RM/year 114.3, 31.45 %, Mil. RM/year 545.3, respectively.
Funding source: Universiti Teknologi Malaysia
Award Identifier / Grant number: Professional Development Research University Grant
Acknowledgments
The financial support from Universiti Teknologi Malaysia through Professional Development Research University Grant (Vote Number: Q.J130000.21A2.07E17) is greatly acknowledged.
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Research ethics: Not applicable.
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Author contributions: Fakhrony S Rohman contributes on Conceptualization, Methodology, Data Curation, Formal analysis, Writing - Original Draft, Writing - Review & Editing. Sharifah Rafidah Wan Alwi contributes on Conceptualization, Writing - Review & Editing, Supervision, Funding acquisition. Dinie Muhammad contributes on Software, Methodology, Formal analysis. Ashraf Azmi contributes on Conceptualization, Writing - Review & Editing, Supervision, Funding acquisition. Khairul Azly Zahan contributes on Writing - Review & Editing. Siti Nor Azreen Ahmad Termizi contributes on Writing - Review & Editing.
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Competing interests: The authors declare no competing interests.
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Research funding: This study was funded by Universiti Teknologi Malaysia Professional Development Research University Grant (UTM-PDRU) with Vote number: Q.J130000.21A2.07E17.
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Data availability: Datasets used and/or analysed during the study are available from the author on reasonable request.
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© 2024 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Review
- Computational chemistry unveiled: a critical analysis of theoretical coordination chemistry and nanostructured materials
- Research Articles
- Reducing sludge formation by enhancing biological decay of biomass: a mathematical model
- Numerical investigation of discharge pressure effect on steam ejector performance in renewable refrigeration cycle by considering wet steam model and dry gas model
- Natural pigment indigoidine production: process design, simulation, and techno-economic assessment
- Energy efficiency in cooling systems: integrating machine learning and meta-heuristic algorithms for precise cooling load prediction
- A parametric study on syngas production by adding CO2 and CH4 on steam gasification of biomass system using ASPEN Plus
- Temperature optimization model to inhibit zero-order kinetic reactions
- Multi-objective Bonobo optimisers of industrial low-density polyethylene reactor
- Assessment the thermal performance of square twisted double tube heat exchanger with Al2O3 nanofluid
- Short Communication
- Layouts and tips for a typical final-year chemical engineering graduation project
Artikel in diesem Heft
- Frontmatter
- Review
- Computational chemistry unveiled: a critical analysis of theoretical coordination chemistry and nanostructured materials
- Research Articles
- Reducing sludge formation by enhancing biological decay of biomass: a mathematical model
- Numerical investigation of discharge pressure effect on steam ejector performance in renewable refrigeration cycle by considering wet steam model and dry gas model
- Natural pigment indigoidine production: process design, simulation, and techno-economic assessment
- Energy efficiency in cooling systems: integrating machine learning and meta-heuristic algorithms for precise cooling load prediction
- A parametric study on syngas production by adding CO2 and CH4 on steam gasification of biomass system using ASPEN Plus
- Temperature optimization model to inhibit zero-order kinetic reactions
- Multi-objective Bonobo optimisers of industrial low-density polyethylene reactor
- Assessment the thermal performance of square twisted double tube heat exchanger with Al2O3 nanofluid
- Short Communication
- Layouts and tips for a typical final-year chemical engineering graduation project
