ACS Publications. Most Trusted. Most Cited. Most Read
Application and Evaluation of Three Methodologies for Plantwide Control of the Styrene Monomer Plant
My Activity

Figure 1Loading Img
    Article

    Application and Evaluation of Three Methodologies for Plantwide Control of the Styrene Monomer Plant
    Click to copy article linkArticle link copied!

    View Author Information
    Department of Chemical and Biomolecular Engineering, National University of Singapore, Engineering Drive 4, Singapore 117576
    * To whom correspondence should be addressed. E-mail: [email protected]
    †Current association: Postdoctoral Research Associate, Chemical Engineering Department, Imperial College London, UK, SW7 2AZ.
    Other Access Options

    Industrial & Engineering Chemistry Research

    Cite this: Ind. Eng. Chem. Res. 2009, 48, 24, 10941–10961
    Click to copy citationCitation copied!
    https://doi.org/10.1021/ie900022h
    Published October 13, 2009
    Copyright © 2009 American Chemical Society

    Abstract

    Click to copy section linkSection link copied!

    Plantwide control (PWC) methodologies have gained significant importance given the high and increasing degree of integration in chemical processes due to material recycle, energy integration, and stringent product quality control, all of which though economically favorable, pose tough challenges to smooth plant operation. As part of the continuing search for more effective PWC system design methods, an integrated framework of heuristics and simulation was proposed [Konda et al. Ind. Eng. Chem. Res.2005, 44, 8300−8313]. The basic idea behind this development is to make effective use of rigorous process simulators to aid in decision-making during the development of the heuristic-based PWC structure. Konda and co-workers have successfully applied the procedure to the toluene hydrodealkylation process. Though the integrated framework is promising, there is still a need to test its applicability to other complex industrial processes. The present contribution considers the development of a PWC structure for the styrene monomer plant using the integrated framework. In addition, in order to gauge its effectiveness in comparison to the other plantwide control methods, two more methods are considered in this study. First, the heuristics procedure of Luyben and co-workers [Luyben et al. Plant-Wide Process Control; McGraw-Hill: New York, 1998], which is a popular heuristics-based methodology, is also applied to the same flowsheet, and is considered as the base case for performance assessment. Second, the self-optimizing control procedure [Skogestad, S. Comput. Chem. Eng.2004, 28, 219−234] is also used in order to have a more comprehensive analysis of the effectiveness of the integrated framework. An analysis of the results indicates that while all the procedures give stable control structures, the integrated framework and self-optimizing control procedures give more robust control structures than the heuristics procedure. This is the first study to develop simulation models and complete PWC structures for the styrene plant, together with a detailed analysis of the relative performance of the resulting structures in order to evaluate the different PWC methodologies.

    Copyright © 2009 American Chemical Society

    Read this article

    To access this article, please review the available access options below.

    Get instant access

    Purchase Access

    Read this article for 48 hours. Check out below using your ACS ID or as a guest.

    Recommended

    Access through Your Institution

    You may have access to this article through your institution.

    Your institution does not have access to this content. Add or change your institution or let them know you’d like them to include access.

    Cited By

    Click to copy section linkSection link copied!
    Citation Statements
    Explore this article's citation statements on scite.ai

    This article is cited by 39 publications.

    1. Akash Sanjay Nogaja, Mohit Tawarmalani, Rakesh Agrawal. Cogeneration Improves Separation Efficiency. Industrial & Engineering Chemistry Research 2024, 63 (43) , 18564-18574. https://doi.org/10.1021/acs.iecr.4c03190
    2. Aaron Frye, Junchen Liu, Luke Neal, Fanxing Li. Sustainable Styrene Production through Chemical Looping Oxidative Dehydrogenation: An Experimentally Informed Technoeconomic Study. ACS Sustainable Chemistry & Engineering 2024, 12 (37) , 14059-14069. https://doi.org/10.1021/acssuschemeng.4c05165
    3. Donggun Kim, Yongbeom Shin, Minyong Lee, Jeongwoo Lee, Young-Joo Lee, Jae W. Lee. Energy-Efficient Design Sequences for the Purification of Styrene Monomer from the Pyrolysis Oil of Waste Polystyrene. Industrial & Engineering Chemistry Research 2024, 63 (33) , 14761-14776. https://doi.org/10.1021/acs.iecr.4c01004
    4. Alexandre C. Dimian, Costin Sorin Bildea. Energy Efficient Styrene Process: Design and Plantwide Control. Industrial & Engineering Chemistry Research 2019, 58 (12) , 4890-4905. https://doi.org/10.1021/acs.iecr.8b05560
    5. Yuan-Wei Ni, Jeffrey D. Ward. Automatic Design and Optimization of Column Sequences and Column Stacking Using a Process Simulation Automation Server. Industrial & Engineering Chemistry Research 2018, 57 (21) , 7188-7200. https://doi.org/10.1021/acs.iecr.7b03943
    6. Rodrigo Juliani Correa de Godoy and Claudio Garcia . Plantwide Control: A Review of Design Techniques, Benchmarks, and Challenges. Industrial & Engineering Chemistry Research 2017, 56 (28) , 7877-7887. https://doi.org/10.1021/acs.iecr.7b00416
    7. Dipesh S. Patle, Z. Ahmad, and G. P. Rangaiah . Plantwide Control of Biodiesel Production from Waste Cooking Oil Using Integrated Framework of Simulation and Heuristics. Industrial & Engineering Chemistry Research 2014, 53 (37) , 14408-14418. https://doi.org/10.1021/ie5023699
    8. Antonio Jha and Ogbonnaya C. Okorafor . Optimal Plantwide Process Control Applied to the Tennessee Eastman Problem. Industrial & Engineering Chemistry Research 2014, 53 (2) , 738-751. https://doi.org/10.1021/ie402215d
    9. Sumit Tripathi, Suraj Vasudevan, and G. P. Rangaiah . Plant-Wide Control System Design of an Alkylation Process Using Integrated Framework of Simulation, Heuristics, and Optimization. Industrial & Engineering Chemistry Research 2013, 52 (8) , 2887-2906. https://doi.org/10.1021/ie3005034
    10. Carmen M. Torres, Mamdouh A. Gadalla, Josep M. Mateo-Sanz, and Laureano Jiménez Esteller . Evaluation Tool for the Environmental Design of Chemical Processes. Industrial & Engineering Chemistry Research 2011, 50 (23) , 13466-13474. https://doi.org/10.1021/ie201024b
    11. Suraj Vasudevan and G. P. Rangaiah . Integrated Framework Incorporating Optimization for Plant-Wide Control of Industrial Processes. Industrial & Engineering Chemistry Research 2011, 50 (13) , 8122-8137. https://doi.org/10.1021/ie1022139
    12. William L. Luyben. Design and Control of the Styrene Process. Industrial & Engineering Chemistry Research 2011, 50 (3) , 1231-1246. https://doi.org/10.1021/ie100023s
    13. Suraj Vasudevan and G. P. Rangaiah. Development of Guidelines for Plantwide Control of Gas-Phase Industrial Processes, from Reactor−Separator−Recycle Results. Industrial & Engineering Chemistry Research 2011, 50 (2) , 939-952. https://doi.org/10.1021/ie101488r
    14. Chi Zhang, Suraj Vasudevan, and G. P. Rangaiah. Plantwide Control System Design and Performance Evaluation for Ammonia Synthesis Process. Industrial & Engineering Chemistry Research 2010, 49 (24) , 12538-12547. https://doi.org/10.1021/ie101135t
    15. Suraj Vasudevan and G. P. Rangaiah. Criteria for Performance Assessment of Plantwide Control Systems. Industrial & Engineering Chemistry Research 2010, 49 (19) , 9209-9221. https://doi.org/10.1021/ie1001795
    16. Xinrui Dai, Juping Zhang, Hua Wang, Xing Zhu. Redox oxidative dehydrogenation of ethylbenzene over potassium-promoted MnCr2O4 at moderate temperature. Chemical Engineering Journal 2025, 503 , 158334. https://doi.org/10.1016/j.cej.2024.158334
    17. Rasheed O. Kelani, Zainal Ahmad, Dipesh Patle. Mechanistic model-based control of biodiesel production processes: a review of needs and scopes. Chemical Engineering Communications 2023, 210 (2) , 274-290. https://doi.org/10.1080/00986445.2021.2012463
    18. Xing Zhu, Yunfei Gao, Xijun Wang, Vasudev Haribal, Junchen Liu, Luke M. Neal, Zhenghong Bao, Zili Wu, Hua Wang, Fanxing Li. A tailored multi-functional catalyst for ultra-efficient styrene production under a cyclic redox scheme. Nature Communications 2021, 12 (1) https://doi.org/10.1038/s41467-021-21374-2
    19. Morten L. Pedersen, Franz D. Bähner, Jakob K. Huusom. Application of the IFSH Methodology for Plantwide Control for an Evaporator Benchmark Process. IFAC-PapersOnLine 2021, 54 (3) , 146-151. https://doi.org/10.1016/j.ifacol.2021.08.233
    20. Heiko Radatz, Matthias Schröder, Christian Becker, Christian Bramsiepe, Gerhard Schembecker. Selection of equipment modules for a flexible modular production plant by a multi-objective evolutionary algorithm. Computers & Chemical Engineering 2019, 123 , 196-221. https://doi.org/10.1016/j.compchemeng.2018.12.009
    21. Alexandre C. Dimian, Costin Sorin Bildea, Anton A. Kiss. Styrene Manufacturing. 2019, 443-481. https://doi.org/10.1016/B978-0-444-63876-2.00012-7
    22. Xiaoqiang Wang, Dong Han, Yuefeng Lin, Wenli Du. Recent progress and challenges in process optimization: Review of recent work at ECUST. The Canadian Journal of Chemical Engineering 2018, 96 (10) , 2115-2123. https://doi.org/10.1002/cjce.23250
    23. Philipp Ernst, Kristina Zimmermann, Georg Fieg. Multi‐objective Optimization‐Tool for the Universal Application in Chemical Process Design. Chemical Engineering & Technology 2017, 40 (10) , 1867-1875. https://doi.org/10.1002/ceat.201600734
    24. Ayoub Safari, Reza Eslamloueyan. A new plant-wide approach for control degrees of freedom of process systems. Chemical Engineering Research and Design 2017, 120 , 259-270. https://doi.org/10.1016/j.cherd.2017.02.016
    25. Johannes Jäschke, Yi Cao, Vinay Kariwala. Self-optimizing control – A survey. Annual Reviews in Control 2017, 43 , 199-223. https://doi.org/10.1016/j.arcontrol.2017.03.001
    26. Riccardo Barzaghi, Alberto Conte, Piernico Sepiacci, Davide Manca. Optimal design of a styrene monomer plant under market volatility. 2016, 1653-1658. https://doi.org/10.1016/B978-0-444-63428-3.50280-0
    27. David Zumoffen. Plant-wide control design based on steady-state combined indexes. ISA Transactions 2016, 60 , 191-205. https://doi.org/10.1016/j.isatra.2015.10.016
    28. P.A. Luppi, D.A.R. Zumoffen, M.S. Basualdo. Decentralized plantwide control strategy for large-scale processes. Case study: Pulp mill benchmark problem. Computers & Chemical Engineering 2013, 52 , 272-285. https://doi.org/10.1016/j.compchemeng.2013.01.010
    29. David Zumoffen, Molina Gonzalo, Marta Basualdo. Improvements on multivariable control strategies tested on the Petlyuk distillation column. Chemical Engineering Science 2013, 93 , 292-306. https://doi.org/10.1016/j.ces.2013.02.008
    30. Zhihong Yuan, Nan Zhang, Bingzhen Chen, Jinsong Zhao. Systematic controllability analysis for chemical processes. AIChE Journal 2012, 58 (10) , 3096-3109. https://doi.org/10.1002/aic.13722
    31. Ramprasad Yelchuru, Sigurd Skogestad. Convex formulations for optimal selection of controlled variables and measurements using Mixed Integer Quadratic Programming. Journal of Process Control 2012, 22 (6) , 995-1007. https://doi.org/10.1016/j.jprocont.2012.04.013
    32. Suraj Vasudevan, N. V. S. N. Murthy Konda, Chi Zhang. Appendix: Potential Problems with Rigorous Simulators and Possible Solutions. 2012, 459-471. https://doi.org/10.1002/9781119968962.app1
    33. Suraj Vasudevan, N. V. S. N. Murthy Konda, Gade Pandu Rangaiah. Integrated Framework of Simulation and Heuristics for Plantwide Control System Design. 2012, 203-227. https://doi.org/10.1002/9781119968962.ch10
    34. Lia Maisarah Umar, Wuhua Hu, Yi Cao, Vinay Kariwala. Selection of Controlled Variables using Self‐optimizing Control Method. 2012, 43-71. https://doi.org/10.1002/9781119968962.ch4
    35. Suraj Vasudevan, Gade Pandu Rangaiah. A Review of Plantwide Control Methodologies and Applications. 2012, 179-201. https://doi.org/10.1002/9781119968962.ch9
    36. L. Nieto Degliuomini, D. Zumoffen, M. Basualdo. Plant-Wide Control for Fuel Processor System with PEMFC: Control Structure Selection and Optimal Sensor Location. 2012, 361-404. https://doi.org/10.1007/978-1-84996-184-4_12
    37. G.D. Molina, D.A.R. Zumoffen, M.S. Basualdo. Plant-wide control strategy applied to the Tennessee Eastman process at two operating points. Computers & Chemical Engineering 2011, 35 (10) , 2081-2097. https://doi.org/10.1016/j.compchemeng.2010.11.006
    38. . Design and Control of the Mono‐Isopropyl Amine Process. 2011, 263-290. https://doi.org/10.1002/9781118001653.ch14
    39. . Design and Control of the Styrene Process. 2011, 291-317. https://doi.org/10.1002/9781118001653.ch15

    Industrial & Engineering Chemistry Research

    Cite this: Ind. Eng. Chem. Res. 2009, 48, 24, 10941–10961
    Click to copy citationCitation copied!
    https://doi.org/10.1021/ie900022h
    Published October 13, 2009
    Copyright © 2009 American Chemical Society

    Article Views

    3720

    Altmetric

    -

    Citations

    Learn about these metrics

    Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.

    Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.

    The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated.