Startseite Optimization studies of low-density polyethylene process: effect of different interval numbers
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Optimization studies of low-density polyethylene process: effect of different interval numbers

  • Ashraf Azmi , Suhairi Abdul Sata ORCID logo , Fakhrony Sholahudin Rohman und Norashid Aziz EMAIL logo
Veröffentlicht/Copyright: 1. Juni 2020
Veröffentlichen auch Sie bei De Gruyter Brill
Manuskript einreichen Informationen für Autor*innen
Chemical Product and Process Modeling
Aus der Zeitschrift Chemical Product and Process Modeling Band 15 Heft 4

Abstract

The highly exothermic nature of the low-density polyethylene (LDPE) polymerization process and the heating-cooling prerequisite in tubular reactor can lead to various problems particularly safety and economic. These issues complicate the monomer conversion maximization approaches. Consequently, the dynamic optimization study to obtain maximum conversion of the LDPE is carried out. A mathematical model has been developed and validated using industrial data. In the dynamic optimization study, maximum monomer conversion (XM) is considered as the objective function, whereas the constraint and bound consists of maximum reaction temperature and product melt flow index (MFI). The orthogonal collocation (OC) on finite elements is used to convert the original optimization problems into Nonlinear Programming (NLP) problems, which are then solved using sequential quadratic program (SQP) methods. The result shows that five interval numbers produce better optimization result compared to one and two intervals.

Keywords: dynamic optimization; low-density polyethylene; nonlinear programming; tubular reactor
Corresponding author: Norashid Aziz, School of Chemical Engineering, Engineering Campus, Universiti Sains Malaysia, Seri Ampangan, Nibong, Tebal, Seberang Perai Selatan, 14300, Pulau Pinang, Malaysia, E-mail:

Funding source: Ministry of Higher Education, Malaysia

Award Identifier / Grant number: 203/PJKIMIA/6071368

Acknowledgment

The financial support from Kementerian Pengajian Tinggi (KPT) through Grant No. 203/PJKIMIA/6071368 and MyBrain15's Fund to the first author are greatly acknowledged.

List of symbols
Bb

Backbiting

Fx

Mass flow rate of x component (kg/h)

I

Initiator

M

Monomer

px

Input variable of x component

P(x)

Live radical with chain length x

R(x)

Live radical with chain length x

S

Solvent

T

Temperature (°C)

Tin

Reactor inlet temperature (°C)

TJ

Reactor jacket temperature (°C)

Tmax

Maximum reaction temperature (°C)

U

Overall heat transfer coefficient (cal/cm2.s.K)

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

References

1. Asteasuain M, Pereda S, Lacunza MH, Ugrin PE, Brandolin A. Industrial high pressure ethylene polymerization initiated by peroxide mixtures: a reduced mathematical model for parameter adjustment. Polym Eng Sci 2001;41:711–26. https://doi.org/10.1002/pen.10767.Suche in Google Scholar

2. Agrawal N. Modeling, simulation and multi-objective optimization of an industrial, low-density polyethylene reactor. National University of Singapore, PhD Thesis; 2008.Suche in Google Scholar

3. Muhammad D, Ahmad Z, Aziz N. Modeling and nonlinearity studies of low density polyethylene (LDPE) tubular reactor. Mater Today: Proc 2018;5:21612–19. https://doi.org/10.1016/j.matpr.2018.07.010.Suche in Google Scholar

4. Yao F Z. Modeling, simulation and optimal control of ethylene polymerization in a high-pressure tubular reactors. Nanchang University, Thesis; 2004.10.2202/1542-6580.1152Suche in Google Scholar

5. Azmi A, Aziz N. Comparison Study of Model Based Industrial Low-Density Polyethylene Production in Tubular Reactor. Chem Eng Trans 2017;56:751–6. https://doi.org/10.3303/CET1756126.Suche in Google Scholar

6. Hafele M, Kienle A, Boll M, Schmidt C U, Schwibach M. Dynamic simulation of a tubular reactor for the production of low-density polyethylene using adaptive method of lines. J Comput Appl Math 2006;183:288–300. https://doi.org/10.1016/j.cam.2004.12.033.Suche in Google Scholar

7. Rangaiah GP. Multi-objective Optimization: techniques and Applications in Chemical Engineering. Adv Proc Syst Eng 2009;1. https://onlinelibrary.wiley.com/doi/book/10.1002/9781118341704.10.1142/10240Suche in Google Scholar

8. Erdeghem P M M V, Logist F, Heughebaert M, Dittrich C, Impe J F V. Conceptual modelling and optimization of jacketed tubular reactors for the production of LDPE. 9th IFAC Symposium on Dynamics and Control of Process Systems, 43. IFAC Proceedings Volumes 2010;433–438. https://doi.org/10.3182/20100705-3-BE-2011.00072.Suche in Google Scholar

9. Vallerio M, Logist F, Erdeghem P V, Dittrich C, Impe J V. Model-Based Optimization of the Cooling System of an Industrial Tubular LDPE Reactor. Ind Eng Chem Res 2013;52:1656–66. https://doi.org/10.1021/ie3013709.Suche in Google Scholar

10. Peters N, Guay M, DeHaan D. Real-time dynamic optimization of batch systems. J. Proc Contr 2007;17:261–71. https://doi.org/10.1016/j.jprocont.2006.11.005.Suche in Google Scholar

11. Azmi A, Aziz N. Simulation studies of low-density polyethylene production in a tubular reactor Procedia Eng 2016;148:1170–6. https://doi.org/10.1016/j.proeng.2016.06.620.Suche in Google Scholar

12. Cizniar M. Dynamic optimisation of processes, diploma work, Slovak Technical University in Bratislava; 2005.Suche in Google Scholar

13. Cuthrell J E, Biegler L T. On the optimization of differential-algebraic process systems, AIChE J 1987;33:1257–70. https://doi.org/10.1002/aic.690330804.Suche in Google Scholar

14. Arpornwichanop A, Shomchoam N. Studies on optimal control approach in a Fed-batch Fermentation Kor J Chem Eng 2007;24:11–15. https://doi.org/10.1007/s11814-007-5002-7.Suche in Google Scholar

15. Rohman FS. Online dynamic optimization studies of catalyzed esterification of propionic anhydride with 2-butanol in the presence of disturbance and uncertainty. Universiti Sains Malaysia, PhD Thesis; 2015.Suche in Google Scholar

Received: 2019-11-19
Accepted: 2020-04-01
Published Online: 2020-06-01

© 2020 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Research Articles
  2. Simulation of an Acid Gas Removal Unit Using a DGA and MDEA Blend Instead of a Single Amine
  3. An Investigation on the Performance of an Oxidation Catalyst Using Two-dimensional Simulation with Detailed Reaction Mechanism
  4. Bioprocess Optimization of L-Lysine Production by Using RSM and Artificial Neural Networks from Corynebacterium glutamicum ATCC13032
  5. Short Communication
  6. Exergoenvironmental Analysis of Tetrahydrofuran/Ethanol Separation through Extractive and Pressure-Swing Distillation
  7. Special section dedicated to selected extended papers from the 26th Regional Symposium on Chemical Engineering (RSCE 2019) held on Oct. 29 to Nov. 1, 2019 in Kuala Lumpur, Malaysia
  8. Editorial
  9. Editorial special section: selected extended papers from the 26th Regional Symposium on Chemical Engineering (RSCE 2019)
  10. Research Articles
  11. Mixed-integer non-linear programming (MINLP) multi-period multi-objective optimization of advanced power plant through gasification of municipal solid waste (MSW)
  12. A mixed integer nonlinear programming approach for integrated bio-refinery and petroleum refinery topology optimization
  13. Development and validation of mathematical model of hydrotropic-reactive extraction of lignin
  14. Optimization studies of low-density polyethylene process: effect of different interval numbers
  15. Modeling and simulation of the hollow fiber bore size on the CO2 absorption in membrane contactor
https://doi.org/10.1515/cppm-2019-0125
Schlagwörter für diesen Artikel
dynamic optimization; low-density polyethylene; nonlinear programming; tubular reactor

Artikel in diesem Heft

  1. Research Articles
  2. Simulation of an Acid Gas Removal Unit Using a DGA and MDEA Blend Instead of a Single Amine
  3. An Investigation on the Performance of an Oxidation Catalyst Using Two-dimensional Simulation with Detailed Reaction Mechanism
  4. Bioprocess Optimization of L-Lysine Production by Using RSM and Artificial Neural Networks from Corynebacterium glutamicum ATCC13032
  5. Short Communication
  6. Exergoenvironmental Analysis of Tetrahydrofuran/Ethanol Separation through Extractive and Pressure-Swing Distillation
  7. Special section dedicated to selected extended papers from the 26th Regional Symposium on Chemical Engineering (RSCE 2019) held on Oct. 29 to Nov. 1, 2019 in Kuala Lumpur, Malaysia
  8. Editorial
  9. Editorial special section: selected extended papers from the 26th Regional Symposium on Chemical Engineering (RSCE 2019)
  10. Research Articles
  11. Mixed-integer non-linear programming (MINLP) multi-period multi-objective optimization of advanced power plant through gasification of municipal solid waste (MSW)
  12. A mixed integer nonlinear programming approach for integrated bio-refinery and petroleum refinery topology optimization
  13. Development and validation of mathematical model of hydrotropic-reactive extraction of lignin
  14. Optimization studies of low-density polyethylene process: effect of different interval numbers
  15. Modeling and simulation of the hollow fiber bore size on the CO2 absorption in membrane contactor
Jetzt anmelden und 20% sparen
Institutioneller Zugang
Wie funktioniert Authentifizierung?
Haben Sie eine Idee, wie wir unsere Website verbessern können?
Bitte schreiben Sie uns.
© 2025 De Gruyter Brill
Heruntergeladen am 24.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/cppm-2019-0125/pdf
Button zum nach oben scrollen