Abstract
Ozonation is one of the advanced oxidation methods that provide effective decolorization and detoxification of the dyeing wastewater without causing any sludge formation. Despite being a good alternative to biodegradation, ozonation suffers from a high operating cost. This study conducted the ozonation process at high initial dye concentrations and optimized the process parameters (such as initial ozone concentration, initial dye concentration, and pH) to minimize the operating cost in terms of the overall power consumption of the process. The ozonation of Reactive Blue dye was performed in a bubble column reactor at various process conditions. A central composite design (CCD)-based response surface method (RSM) statistical tool was used to optimize the process. An empirical correlation for the specific power consumption (defined as electricity consumed per unit mass of dye removed from a unit volume of dyeing wastewater) was developed and verified. It was found that the specific power consumption during ozonation can be lowered significantly (by ~25–30%) if the dyeing water was treated at high initial dye concentrations.
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Acknowledgements
The author wants to acknowledge Prof. Ram Sharan Singh and Prof. Birendra Nath Rai for offering their research facility to perform some of the experiments and their helpful suggestions, and the department of chemical engineering and technology, IIT (BHU) for providing the necessary laboratory facility to conduct other research activities.
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Conceptualization: Anuj Chaturvedi, Ravi Prakash Jaiswal;
Methodology: Ravi Prakash Jaiswal, Anuj Chaturvedi
Formal analysis and investigation: Anuj Chaturvedi;
Writing - original draft preparation: Anuj Chaturvedi;
Writing - review and editing: Anuj Chaturvedi, Ravi Prakash Jaiswal;
Funding acquisition: Ravi Prakash Jaiswal;
Resources: Ravi Prakash Jaiswal;
Supervision: Ravi Prakash Jaiswal
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Chaturvedi, A., Jaiswal, R.P. Optimization for minimizing the cost of ozonation of highly concentrated textile dyeing wastewater in a bubble column reactor. Environ Sci Pollut Res 29, 88018–88026 (2022). https://doi.org/10.1007/s11356-022-21800-y
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DOI: https://doi.org/10.1007/s11356-022-21800-y