Continuous feeding of subsequent waste treatment machines by optimizing the output flow of a primary shredder
Publikationen: Thesis / Studienabschlussarbeiten und Habilitationsschriften › Masterarbeit
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2023.
Publikationen: Thesis / Studienabschlussarbeiten und Habilitationsschriften › Masterarbeit
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TY - THES
T1 - Continuous feeding of subsequent waste treatment machines by optimizing the output flow of a primary shredder
AU - Imhof, Jason
N1 - no embargo
PY - 2023
Y1 - 2023
N2 - This thesis is concerned with the problem of fluctuating mass and volume streams in waste treatment plants. The heterogeneous material from the mixed municipal waste creates a fluctuating output despite the continuous feeding of the hopper. The suggested solution is to utilize a control loop on the shredder that minimizes output fluctuations and optimizes the use of the conveyor belt and following aggregates in the waste treatment plant. The experimental control loop showed no significant improvement. However, using time series analysis, a prediction model was developed. A different version of equally spaced data points is used for this model, the mass series. This prediction model is up to 75 % better than the defined benchmark of using the current value to predict the next values. The data was taken from the large-scale industrial experiments performed with mixed municipal waste as a part of the ReWaste F Project.
AB - This thesis is concerned with the problem of fluctuating mass and volume streams in waste treatment plants. The heterogeneous material from the mixed municipal waste creates a fluctuating output despite the continuous feeding of the hopper. The suggested solution is to utilize a control loop on the shredder that minimizes output fluctuations and optimizes the use of the conveyor belt and following aggregates in the waste treatment plant. The experimental control loop showed no significant improvement. However, using time series analysis, a prediction model was developed. A different version of equally spaced data points is used for this model, the mass series. This prediction model is up to 75 % better than the defined benchmark of using the current value to predict the next values. The data was taken from the large-scale industrial experiments performed with mixed municipal waste as a part of the ReWaste F Project.
KW - Schredder
KW - Zeitreihenanalyse
KW - Modellierung
KW - Vorhersage
KW - Maschinendaten
KW - Regelung
KW - Steuerung
KW - Abfallzerkleinerung
KW - Shredder
KW - Time Series Analysis
KW - Modelling
KW - Maschine Data
KW - Forecasting
KW - Control Loop
KW - Waste Treatment
U2 - 10.34901/mul.pub.2023.232
DO - 10.34901/mul.pub.2023.232
M3 - Master's Thesis
ER -