Under the patronage of:

Journal Metrics

Impact factor (2022): 2.1

75th percentile
Powered by  Scopus

More about CiteScore

Source Normalized Impact per Paper (SNIP): 0.474

SCImago Journal Rank (SJR): 0.377


Development of a method for shredder characterisation and dynamic control of the output material stream

Original scientific paper

Journal of Sustainable Development of Energy, Water and Environment Systems
Volume 12, Issue 3, September 2024, 1120492
DOI: https://doi.org/10.13044/j.sdewes.d12.0492
Tatjana Lasch1 , Jason Imhof2, Renato Sarc2, Karim Khodier2
1 Montanuniversität Leoben, Leoben, Austria
2 Chair of Waste Processing Technology and Waste Managemen, Leoben, Austria


This work deals with the basis for the development of a method for the characterisation of shredders in
the field of waste treatment. Therefore, many parameters of shredders have to be considered. In this
work, the throughput and its inconsistency come into focus. The fluctuating mass and volume flow rates
often cause problems for waste treatment plants. Mixed waste generates a fluctuating throughput despite
continuous feeding, often starting at the first machine, the shredder. Dynamic control of the shredder is
seen as a solution. By implementing a control loop at the shredder, fluctuations in output are to be
minimised and the idea is that subsequent machines are thus ideally fed. Autocorrelation of the data of an
output volume flow of the shredder exists, which indicates that a dynamic output feedback control of the
shredder can work, therefore the attempt to control the shredder was made. However, the first control
attempt was probably too rudimentary and the implementation of a dynamic control of the shredder did
not yet bring any improvements in terms of throughput fluctuations. Nevertheless, the work provides
indications and shows potential for further research approaches on control-based improvement of
shredders’ throughput continuity.

Keywords: mixed solid waste; waste treatment plants; control loop; fluctuation flow; digitalisation

Creative Commons License
Views (in 2024): 380 | Downloads (in 2024): 92
Total views: 380 | Total downloads: 92