Exothermic batch process optimisation via multivariable genetic algorithm
This paper aims optimise the exothermic batch productivity while minimise the waste production by manipulating the fluid temperature and fluid flow rate. During the process, a large amount of heat is released rapidly when the reactants are mixed together. The exothermic behaviour causes the reaction...
| Main Authors: | , , , |
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| Format: | Proceedings |
| Language: | English English |
| Published: |
IEEE Inc.
2012
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/31754/1/Exothermic%20batch%20process%20optimisation%20via%20multivariable%20genetic%20algorithm.ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/31754/2/Exothermic%20batch%20process%20optimisation%20via%20multivariable%20genetic%20algorithm.pdf |
| _version_ | 1825714566175129600 |
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| author | Tan, Min Keng Chuo, Helen Sin Ee Tham, Heng Jin Teo, Kenneth Tze Kin |
| author_facet | Tan, Min Keng Chuo, Helen Sin Ee Tham, Heng Jin Teo, Kenneth Tze Kin |
| author_sort | Tan, Min Keng |
| collection | UMS |
| description | This paper aims optimise the exothermic batch productivity while minimise the waste production by manipulating the fluid temperature and fluid flow rate. During the process, a large amount of heat is released rapidly when the reactants are mixed together. The exothermic behaviour causes the reaction to become unstable and consequently poses safety concern to the plant personnel. Commonly, the optimisation of the batch process is based on the predetermined optimal reference temperature profile. However, this reference profile is unable to limit the waste production effectively. Therefore, multivariable genetic algorithm (MGA) is proposed in this work to optimise the productivity of the process without referring to the predetermined reference profile. The results show that the MGA is able to harvest more than 80 % of yield in handling human error and equipment failure. |
| first_indexed | 2024-03-06T03:13:43Z |
| format | Proceedings |
| id | ums.eprints-31754 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:13:43Z |
| publishDate | 2012 |
| publisher | IEEE Inc. |
| record_format | dspace |
| spelling | ums.eprints-317542022-02-24T08:48:42Z https://eprints.ums.edu.my/id/eprint/31754/ Exothermic batch process optimisation via multivariable genetic algorithm Tan, Min Keng Chuo, Helen Sin Ee Tham, Heng Jin Teo, Kenneth Tze Kin QA75.5-76.95 Electronic computers. Computer science This paper aims optimise the exothermic batch productivity while minimise the waste production by manipulating the fluid temperature and fluid flow rate. During the process, a large amount of heat is released rapidly when the reactants are mixed together. The exothermic behaviour causes the reaction to become unstable and consequently poses safety concern to the plant personnel. Commonly, the optimisation of the batch process is based on the predetermined optimal reference temperature profile. However, this reference profile is unable to limit the waste production effectively. Therefore, multivariable genetic algorithm (MGA) is proposed in this work to optimise the productivity of the process without referring to the predetermined reference profile. The results show that the MGA is able to harvest more than 80 % of yield in handling human error and equipment failure. IEEE Inc. 2012 Proceedings PeerReviewed text en https://eprints.ums.edu.my/id/eprint/31754/1/Exothermic%20batch%20process%20optimisation%20via%20multivariable%20genetic%20algorithm.ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/31754/2/Exothermic%20batch%20process%20optimisation%20via%20multivariable%20genetic%20algorithm.pdf Tan, Min Keng and Chuo, Helen Sin Ee and Tham, Heng Jin and Teo, Kenneth Tze Kin (2012) Exothermic batch process optimisation via multivariable genetic algorithm. https://ieeexplore.ieee.org/document/6516324 |
| spellingShingle | QA75.5-76.95 Electronic computers. Computer science Tan, Min Keng Chuo, Helen Sin Ee Tham, Heng Jin Teo, Kenneth Tze Kin Exothermic batch process optimisation via multivariable genetic algorithm |
| title | Exothermic batch process optimisation via multivariable genetic algorithm |
| title_full | Exothermic batch process optimisation via multivariable genetic algorithm |
| title_fullStr | Exothermic batch process optimisation via multivariable genetic algorithm |
| title_full_unstemmed | Exothermic batch process optimisation via multivariable genetic algorithm |
| title_short | Exothermic batch process optimisation via multivariable genetic algorithm |
| title_sort | exothermic batch process optimisation via multivariable genetic algorithm |
| topic | QA75.5-76.95 Electronic computers. Computer science |
| url | https://eprints.ums.edu.my/id/eprint/31754/1/Exothermic%20batch%20process%20optimisation%20via%20multivariable%20genetic%20algorithm.ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/31754/2/Exothermic%20batch%20process%20optimisation%20via%20multivariable%20genetic%20algorithm.pdf |
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