Kinetic study of the regeneration of spent caustic via the genetic algorithm method

Background: Spent caustic contains noxious components such as sulfide species and also high chemical oxygen demand content (COD). Oxidation of these materials to caustic and sulfate species is mostly the rate-controlling step within catalytic oxidation of spent caustic. Methods: In this study, the k...
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Autor*in:	Asadollah Karimi [verfasserIn] Esmaeil Fatehifar [verfasserIn] Reza Alizadeh [verfasserIn] Hadi Soltani [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	Caustic Kinetic Regeneration Catalysis.

Übergeordnetes Werk:	In: Environmental Health Engineering and Management - Kerman University of Medical Sciences, 2015, 5(2018), 4, Seite 231-239
Übergeordnetes Werk:	volume:5 ; year:2018 ; number:4 ; pages:231-239

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	DOI:10.15171/EHEM.2018.31

Katalog-ID:	DOAJ011761911

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allfields	DOI:10.15171/EHEM.2018.31 doi (DE-627)DOAJ011761911 (DE-599)DOAJ6c16ae5e71a74e9cbeaf8343cd28a527 DE-627 ger DE-627 rakwb eng GE1-350 Asadollah Karimi verfasserin aut Kinetic study of the regeneration of spent caustic via the genetic algorithm method 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Spent caustic contains noxious components such as sulfide species and also high chemical oxygen demand content (COD). Oxidation of these materials to caustic and sulfate species is mostly the rate-controlling step within catalytic oxidation of spent caustic. Methods: In this study, the kinetics of catalytic oxidation of spent caustic and the regeneration methodology of the sulfidic spent caustic were investigated. The kinetics of catalytic oxidation of spent caustic was studied in the presence of a heterogeneous catalyst. The developed mathematical model was verified via the batch bubble column reactor. The elementary and non-elementary models based on the genetic algorithm were used to obtain the rate coefficient and kinetic order. Results: The experiments were carried out at various conditions. The results indicated that the error of objective function of the non-elementary and elementary models was 3.01% and 134.96%, respectively. Conclusion: According to the results, the non-elementary model had rational outcome compared to the elementary one. Also, non-elemental model is more concordance with experimental results. Caustic Kinetic Regeneration Catalysis. Environmental sciences Esmaeil Fatehifar verfasserin aut Reza Alizadeh verfasserin aut Hadi Soltani verfasserin aut In Environmental Health Engineering and Management Kerman University of Medical Sciences, 2015 5(2018), 4, Seite 231-239 (DE-627)85632504X (DE-600)2851629-1 24234311 nnns volume:5 year:2018 number:4 pages:231-239 https://doi.org/DOI:10.15171/EHEM.2018.31 kostenfrei https://doaj.org/article/6c16ae5e71a74e9cbeaf8343cd28a527 kostenfrei http://ehemj.com/article-1-384-en.html kostenfrei https://doaj.org/toc/2423-3765 Journal toc kostenfrei https://doaj.org/toc/2423-4311 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2018 4 231-239
spelling	DOI:10.15171/EHEM.2018.31 doi (DE-627)DOAJ011761911 (DE-599)DOAJ6c16ae5e71a74e9cbeaf8343cd28a527 DE-627 ger DE-627 rakwb eng GE1-350 Asadollah Karimi verfasserin aut Kinetic study of the regeneration of spent caustic via the genetic algorithm method 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Spent caustic contains noxious components such as sulfide species and also high chemical oxygen demand content (COD). Oxidation of these materials to caustic and sulfate species is mostly the rate-controlling step within catalytic oxidation of spent caustic. Methods: In this study, the kinetics of catalytic oxidation of spent caustic and the regeneration methodology of the sulfidic spent caustic were investigated. The kinetics of catalytic oxidation of spent caustic was studied in the presence of a heterogeneous catalyst. The developed mathematical model was verified via the batch bubble column reactor. The elementary and non-elementary models based on the genetic algorithm were used to obtain the rate coefficient and kinetic order. Results: The experiments were carried out at various conditions. The results indicated that the error of objective function of the non-elementary and elementary models was 3.01% and 134.96%, respectively. Conclusion: According to the results, the non-elementary model had rational outcome compared to the elementary one. Also, non-elemental model is more concordance with experimental results. Caustic Kinetic Regeneration Catalysis. Environmental sciences Esmaeil Fatehifar verfasserin aut Reza Alizadeh verfasserin aut Hadi Soltani verfasserin aut In Environmental Health Engineering and Management Kerman University of Medical Sciences, 2015 5(2018), 4, Seite 231-239 (DE-627)85632504X (DE-600)2851629-1 24234311 nnns volume:5 year:2018 number:4 pages:231-239 https://doi.org/DOI:10.15171/EHEM.2018.31 kostenfrei https://doaj.org/article/6c16ae5e71a74e9cbeaf8343cd28a527 kostenfrei http://ehemj.com/article-1-384-en.html kostenfrei https://doaj.org/toc/2423-3765 Journal toc kostenfrei https://doaj.org/toc/2423-4311 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2018 4 231-239
allfields_unstemmed	DOI:10.15171/EHEM.2018.31 doi (DE-627)DOAJ011761911 (DE-599)DOAJ6c16ae5e71a74e9cbeaf8343cd28a527 DE-627 ger DE-627 rakwb eng GE1-350 Asadollah Karimi verfasserin aut Kinetic study of the regeneration of spent caustic via the genetic algorithm method 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Spent caustic contains noxious components such as sulfide species and also high chemical oxygen demand content (COD). Oxidation of these materials to caustic and sulfate species is mostly the rate-controlling step within catalytic oxidation of spent caustic. Methods: In this study, the kinetics of catalytic oxidation of spent caustic and the regeneration methodology of the sulfidic spent caustic were investigated. The kinetics of catalytic oxidation of spent caustic was studied in the presence of a heterogeneous catalyst. The developed mathematical model was verified via the batch bubble column reactor. The elementary and non-elementary models based on the genetic algorithm were used to obtain the rate coefficient and kinetic order. Results: The experiments were carried out at various conditions. The results indicated that the error of objective function of the non-elementary and elementary models was 3.01% and 134.96%, respectively. Conclusion: According to the results, the non-elementary model had rational outcome compared to the elementary one. Also, non-elemental model is more concordance with experimental results. Caustic Kinetic Regeneration Catalysis. Environmental sciences Esmaeil Fatehifar verfasserin aut Reza Alizadeh verfasserin aut Hadi Soltani verfasserin aut In Environmental Health Engineering and Management Kerman University of Medical Sciences, 2015 5(2018), 4, Seite 231-239 (DE-627)85632504X (DE-600)2851629-1 24234311 nnns volume:5 year:2018 number:4 pages:231-239 https://doi.org/DOI:10.15171/EHEM.2018.31 kostenfrei https://doaj.org/article/6c16ae5e71a74e9cbeaf8343cd28a527 kostenfrei http://ehemj.com/article-1-384-en.html kostenfrei https://doaj.org/toc/2423-3765 Journal toc kostenfrei https://doaj.org/toc/2423-4311 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2018 4 231-239
allfieldsGer	DOI:10.15171/EHEM.2018.31 doi (DE-627)DOAJ011761911 (DE-599)DOAJ6c16ae5e71a74e9cbeaf8343cd28a527 DE-627 ger DE-627 rakwb eng GE1-350 Asadollah Karimi verfasserin aut Kinetic study of the regeneration of spent caustic via the genetic algorithm method 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Spent caustic contains noxious components such as sulfide species and also high chemical oxygen demand content (COD). Oxidation of these materials to caustic and sulfate species is mostly the rate-controlling step within catalytic oxidation of spent caustic. Methods: In this study, the kinetics of catalytic oxidation of spent caustic and the regeneration methodology of the sulfidic spent caustic were investigated. The kinetics of catalytic oxidation of spent caustic was studied in the presence of a heterogeneous catalyst. The developed mathematical model was verified via the batch bubble column reactor. The elementary and non-elementary models based on the genetic algorithm were used to obtain the rate coefficient and kinetic order. Results: The experiments were carried out at various conditions. The results indicated that the error of objective function of the non-elementary and elementary models was 3.01% and 134.96%, respectively. Conclusion: According to the results, the non-elementary model had rational outcome compared to the elementary one. Also, non-elemental model is more concordance with experimental results. Caustic Kinetic Regeneration Catalysis. Environmental sciences Esmaeil Fatehifar verfasserin aut Reza Alizadeh verfasserin aut Hadi Soltani verfasserin aut In Environmental Health Engineering and Management Kerman University of Medical Sciences, 2015 5(2018), 4, Seite 231-239 (DE-627)85632504X (DE-600)2851629-1 24234311 nnns volume:5 year:2018 number:4 pages:231-239 https://doi.org/DOI:10.15171/EHEM.2018.31 kostenfrei https://doaj.org/article/6c16ae5e71a74e9cbeaf8343cd28a527 kostenfrei http://ehemj.com/article-1-384-en.html kostenfrei https://doaj.org/toc/2423-3765 Journal toc kostenfrei https://doaj.org/toc/2423-4311 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2018 4 231-239
allfieldsSound	DOI:10.15171/EHEM.2018.31 doi (DE-627)DOAJ011761911 (DE-599)DOAJ6c16ae5e71a74e9cbeaf8343cd28a527 DE-627 ger DE-627 rakwb eng GE1-350 Asadollah Karimi verfasserin aut Kinetic study of the regeneration of spent caustic via the genetic algorithm method 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Spent caustic contains noxious components such as sulfide species and also high chemical oxygen demand content (COD). Oxidation of these materials to caustic and sulfate species is mostly the rate-controlling step within catalytic oxidation of spent caustic. Methods: In this study, the kinetics of catalytic oxidation of spent caustic and the regeneration methodology of the sulfidic spent caustic were investigated. The kinetics of catalytic oxidation of spent caustic was studied in the presence of a heterogeneous catalyst. The developed mathematical model was verified via the batch bubble column reactor. The elementary and non-elementary models based on the genetic algorithm were used to obtain the rate coefficient and kinetic order. Results: The experiments were carried out at various conditions. The results indicated that the error of objective function of the non-elementary and elementary models was 3.01% and 134.96%, respectively. Conclusion: According to the results, the non-elementary model had rational outcome compared to the elementary one. Also, non-elemental model is more concordance with experimental results. Caustic Kinetic Regeneration Catalysis. Environmental sciences Esmaeil Fatehifar verfasserin aut Reza Alizadeh verfasserin aut Hadi Soltani verfasserin aut In Environmental Health Engineering and Management Kerman University of Medical Sciences, 2015 5(2018), 4, Seite 231-239 (DE-627)85632504X (DE-600)2851629-1 24234311 nnns volume:5 year:2018 number:4 pages:231-239 https://doi.org/DOI:10.15171/EHEM.2018.31 kostenfrei https://doaj.org/article/6c16ae5e71a74e9cbeaf8343cd28a527 kostenfrei http://ehemj.com/article-1-384-en.html kostenfrei https://doaj.org/toc/2423-3765 Journal toc kostenfrei https://doaj.org/toc/2423-4311 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2018 4 231-239
language	English
source	In Environmental Health Engineering and Management 5(2018), 4, Seite 231-239 volume:5 year:2018 number:4 pages:231-239
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authorswithroles_txt_mv	Asadollah Karimi @@aut@@ Esmaeil Fatehifar @@aut@@ Reza Alizadeh @@aut@@ Hadi Soltani @@aut@@
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callnumber-first	G - Geography, Anthropology, Recreation
author	Asadollah Karimi
spellingShingle	Asadollah Karimi misc GE1-350 misc Caustic misc Kinetic misc Regeneration misc Catalysis. misc Environmental sciences Kinetic study of the regeneration of spent caustic via the genetic algorithm method
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topic_title	GE1-350 Kinetic study of the regeneration of spent caustic via the genetic algorithm method Caustic Kinetic Regeneration Catalysis
topic	misc GE1-350 misc Caustic misc Kinetic misc Regeneration misc Catalysis. misc Environmental sciences
topic_unstemmed	misc GE1-350 misc Caustic misc Kinetic misc Regeneration misc Catalysis. misc Environmental sciences
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title	Kinetic study of the regeneration of spent caustic via the genetic algorithm method
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title_full	Kinetic study of the regeneration of spent caustic via the genetic algorithm method
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author_browse	Asadollah Karimi Esmaeil Fatehifar Reza Alizadeh Hadi Soltani
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title_sort	kinetic study of the regeneration of spent caustic via the genetic algorithm method
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title_auth	Kinetic study of the regeneration of spent caustic via the genetic algorithm method
abstract	Background: Spent caustic contains noxious components such as sulfide species and also high chemical oxygen demand content (COD). Oxidation of these materials to caustic and sulfate species is mostly the rate-controlling step within catalytic oxidation of spent caustic. Methods: In this study, the kinetics of catalytic oxidation of spent caustic and the regeneration methodology of the sulfidic spent caustic were investigated. The kinetics of catalytic oxidation of spent caustic was studied in the presence of a heterogeneous catalyst. The developed mathematical model was verified via the batch bubble column reactor. The elementary and non-elementary models based on the genetic algorithm were used to obtain the rate coefficient and kinetic order. Results: The experiments were carried out at various conditions. The results indicated that the error of objective function of the non-elementary and elementary models was 3.01% and 134.96%, respectively. Conclusion: According to the results, the non-elementary model had rational outcome compared to the elementary one. Also, non-elemental model is more concordance with experimental results.
abstractGer	Background: Spent caustic contains noxious components such as sulfide species and also high chemical oxygen demand content (COD). Oxidation of these materials to caustic and sulfate species is mostly the rate-controlling step within catalytic oxidation of spent caustic. Methods: In this study, the kinetics of catalytic oxidation of spent caustic and the regeneration methodology of the sulfidic spent caustic were investigated. The kinetics of catalytic oxidation of spent caustic was studied in the presence of a heterogeneous catalyst. The developed mathematical model was verified via the batch bubble column reactor. The elementary and non-elementary models based on the genetic algorithm were used to obtain the rate coefficient and kinetic order. Results: The experiments were carried out at various conditions. The results indicated that the error of objective function of the non-elementary and elementary models was 3.01% and 134.96%, respectively. Conclusion: According to the results, the non-elementary model had rational outcome compared to the elementary one. Also, non-elemental model is more concordance with experimental results.
abstract_unstemmed	Background: Spent caustic contains noxious components such as sulfide species and also high chemical oxygen demand content (COD). Oxidation of these materials to caustic and sulfate species is mostly the rate-controlling step within catalytic oxidation of spent caustic. Methods: In this study, the kinetics of catalytic oxidation of spent caustic and the regeneration methodology of the sulfidic spent caustic were investigated. The kinetics of catalytic oxidation of spent caustic was studied in the presence of a heterogeneous catalyst. The developed mathematical model was verified via the batch bubble column reactor. The elementary and non-elementary models based on the genetic algorithm were used to obtain the rate coefficient and kinetic order. Results: The experiments were carried out at various conditions. The results indicated that the error of objective function of the non-elementary and elementary models was 3.01% and 134.96%, respectively. Conclusion: According to the results, the non-elementary model had rational outcome compared to the elementary one. Also, non-elemental model is more concordance with experimental results.
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title_short	Kinetic study of the regeneration of spent caustic via the genetic algorithm method
url	https://doi.org/DOI:10.15171/EHEM.2018.31 https://doaj.org/article/6c16ae5e71a74e9cbeaf8343cd28a527 http://ehemj.com/article-1-384-en.html https://doaj.org/toc/2423-3765 https://doaj.org/toc/2423-4311
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Kinetic study of the regeneration of spent caustic via the genetic algorithm method

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