A Python-Based Tool for Industrial Water Integration
Snopkov D. Radelyuk I. Chin H.H. Tan R.R. Zhapargazinova K.
2024Italian Association of Chemical Engineering - AIDIC
Chemical Engineering Transactions
2024#114655 - 660 pp.
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 singlecontaminant approach. Copyright
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Department of Chemistry and Chemical Technology, Toraighyrov University, Pavlodar, 140000, Kazakhstan
Sustainable Process Integration Laboratory (SPIL), NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology - VUT Brno, Brno, Czech Republic
Department of Chemical Engineering, De la Salle University, Manila, Philippines
Department of Chemistry and Chemical Technology
Sustainable Process Integration Laboratory (SPIL)
Department of Chemical Engineering
10 лет помогаем публиковать статьи Международный издатель
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