A Python-Based Tool for Industrial Water Integration
The development and implementation of measures for pollution control and resource optimization play a crucial role in environmental resilience. This work is an attempt to create a standardized Python-based testing environment, which contributes to the challenges related to water conservation. The mo...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2024-12-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/15015 |
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| _version_ | 1846109883923955712 |
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| author | Dmitriy Snopkov Ivan Radelyuk Hon Huin Chin Raymond R. Tan Kulshat Zhapargazinova |
| author_facet | Dmitriy Snopkov Ivan Radelyuk Hon Huin Chin Raymond R. Tan Kulshat Zhapargazinova |
| author_sort | Dmitriy Snopkov |
| collection | DOAJ |
| description | The development and implementation of measures for pollution control and resource optimization play a crucial role in environmental resilience. This work is an attempt to create a standardized Python-based testing environment, which contributes to the challenges related to water conservation. The model is focused on diluting supplied freshwater by sending reused and regenerated water to a particular industrial unit. While existing approaches consider stationary concentrations of contaminants during mixing, our approach overcomes this drawback by the iterative calculation of a newly introduced parameter of “the conditional concentration”. This concept pertains to the efficiency of contaminant elimination within a regeneration unit quantified by the removal ratio. The model consists of two parts: first, it reveals the fixed value for the conditional concentration considering another novel parameter of “the coefficient of conditional concentration”. The coefficient depends on the quality of the reused or regenerated water and determines the appropriateness of a selected stream for the dilution. The second step aims to achieve maximal freshwater minimization by mixing optimal ratios of the selected streams. The model is tested on a real-world case study of the oil refinery in Kazakhstan using the single-contaminant approach. |
| format | Article |
| id | doaj-art-d0cfedca04944fcb9ab059bcd30ae10e |
| institution | Kabale University |
| issn | 2283-9216 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | AIDIC Servizi S.r.l. |
| record_format | Article |
| series | Chemical Engineering Transactions |
| spelling | doaj-art-d0cfedca04944fcb9ab059bcd30ae10e2024-12-25T00:40:14ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162024-12-01114A Python-Based Tool for Industrial Water IntegrationDmitriy SnopkovIvan RadelyukHon Huin ChinRaymond R. TanKulshat ZhapargazinovaThe development and implementation of measures for pollution control and resource optimization play a crucial role in environmental resilience. This work is an attempt to create a standardized Python-based testing environment, which contributes to the challenges related to water conservation. The model is focused on diluting supplied freshwater by sending reused and regenerated water to a particular industrial unit. While existing approaches consider stationary concentrations of contaminants during mixing, our approach overcomes this drawback by the iterative calculation of a newly introduced parameter of “the conditional concentration”. This concept pertains to the efficiency of contaminant elimination within a regeneration unit quantified by the removal ratio. The model consists of two parts: first, it reveals the fixed value for the conditional concentration considering another novel parameter of “the coefficient of conditional concentration”. The coefficient depends on the quality of the reused or regenerated water and determines the appropriateness of a selected stream for the dilution. The second step aims to achieve maximal freshwater minimization by mixing optimal ratios of the selected streams. The model is tested on a real-world case study of the oil refinery in Kazakhstan using the single-contaminant approach.https://www.cetjournal.it/index.php/cet/article/view/15015 |
| spellingShingle | Dmitriy Snopkov Ivan Radelyuk Hon Huin Chin Raymond R. Tan Kulshat Zhapargazinova A Python-Based Tool for Industrial Water Integration Chemical Engineering Transactions |
| title | A Python-Based Tool for Industrial Water Integration |
| title_full | A Python-Based Tool for Industrial Water Integration |
| title_fullStr | A Python-Based Tool for Industrial Water Integration |
| title_full_unstemmed | A Python-Based Tool for Industrial Water Integration |
| title_short | A Python-Based Tool for Industrial Water Integration |
| title_sort | python based tool for industrial water integration |
| url | https://www.cetjournal.it/index.php/cet/article/view/15015 |
| work_keys_str_mv | AT dmitriysnopkov apythonbasedtoolforindustrialwaterintegration AT ivanradelyuk apythonbasedtoolforindustrialwaterintegration AT honhuinchin apythonbasedtoolforindustrialwaterintegration AT raymondrtan apythonbasedtoolforindustrialwaterintegration AT kulshatzhapargazinova apythonbasedtoolforindustrialwaterintegration AT dmitriysnopkov pythonbasedtoolforindustrialwaterintegration AT ivanradelyuk pythonbasedtoolforindustrialwaterintegration AT honhuinchin pythonbasedtoolforindustrialwaterintegration AT raymondrtan pythonbasedtoolforindustrialwaterintegration AT kulshatzhapargazinova pythonbasedtoolforindustrialwaterintegration |