Modelling, optimisation and caustic recovery for more sustainable bottle washers

Master thesis (2022)

Authors

Y. Zhang Civil Engineering & Geosciences

Contributors

H. Spanjers Sanitary Engineering - CEG (mentor)
L.C. Rietveld Water Management (graduation committee member)
Sebastiaan Heijman Sanitary Engineering - CEG (graduation committee member)
G. Korevaar Energy and Industry (graduation committee member)
Paul Bruijn Heineken Netherlands Supply (graduation committee member)
Faculty
Civil Engineering & Geosciences, Civil Engineering & Geosciences
Copyright: © 2022 Annie Zhang
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Published Date

31-03-2022

Language

English

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Faculty

Civil Engineering & Geosciences

Abstract

In this research, a few initiatives were completed with practical industrial information and water samples from Heineken®. A Python model was built for an imaginary bottle washer, and tested with difference operational variables under the four testing scenarios. Based on the operational information fromthe Spanish brewery, a second Python model was built for the real-life case study, which was then optimised with several operational variables to reduce either WFP or CFP as caustic soda in five optimisation scenarios. With three water samples from three caustic baths from another bottle washer operated in a Belgian brewery, a composition analysis on significant water parameters was carried out in the Water Lab in TU Delft. This lab analysis gave a basic insight of the compositions of caustic wastewater from bottle washers, and provided possibility to discuss the treatment methods.

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