Modelling, optimisation and caustic recovery for more sustainable bottle washers

Title

Modelling, optimisation and caustic recovery for more sustainable bottle washers

 Author

Zhang, Annie (TU Delft Civil Engineering and Geosciences; Heineken Netherlands Supply)

Contributor

Spanjers, H. (mentor) ORCID 0000-0002-9035-9417
Rietveld, L.C. (graduation committee) ORCID 0000-0003-3227-6100
Heijman, Sebastiaan (graduation committee) ORCID 0000-0003-2582-3030
Korevaar, G. (graduation committee) ORCID 0000-0001-7429-680X
Bruijn, Paul (graduation committee)

Degree granting institution

Delft University of Technology

 Programme

Civil Engineering

 Date

2022-03-31

 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.

 Subject

Modelling
bottle washer
Resource recovery

 To reference this document use:

http://resolver.tudelft.nl/uuid:7da5e16d-478b-439a-97e8-cf61610864a6

 Part of collection

Student theses

 Document type

master thesis

 Rights

© 2022 Annie Zhang
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