Indirect Estimation of the Volumetric Throughput Performance in the Shredding of Solid Waste

The volume or mass throughput of a mechanical treatment plant for commercial waste represents a key performance parameter. This measurement parameter is often unavailable, as the sensor technology required is often expensive or does not provide accurate data. The first process stage is usually a shr...

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Main Authors: Christoph Feyerer, Karim Khodier, Tatjana Lasch, Roland Pomberger, Renato Sarc
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Clean Technologies
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Online Access:https://www.mdpi.com/2571-8797/7/2/38
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author Christoph Feyerer
Karim Khodier
Tatjana Lasch
Roland Pomberger
Renato Sarc
author_facet Christoph Feyerer
Karim Khodier
Tatjana Lasch
Roland Pomberger
Renato Sarc
author_sort Christoph Feyerer
collection DOAJ
description The volume or mass throughput of a mechanical treatment plant for commercial waste represents a key performance parameter. This measurement parameter is often unavailable, as the sensor technology required is often expensive or does not provide accurate data. The first process stage is usually a shredding machine, converting the waste into a transportable and separable fraction size. Here, a methodical approach is pursued which enables an indirect estimation of the volume throughput capacity based on further machine parameters, such as the drum speed and the drum torque. Based on 32 test data sets, two models were developed to approximate the volume throughput rate. The two models developed are the regression model and the displacement model. Furthermore, two reference models were defined to evaluate the accuracy of the two approaches developed: the so-called mean value model and the ANOVA model. When looking at the 80th percentile of the sign-adjusted relative deviation, the results show that the regression model, with ±40%, followed by the displacement model, with ±42%, enable significantly more accurate estimates of the volumetric throughput performance than the two reference models, with ±63% and ±71%, respectively.
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issn 2571-8797
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publishDate 2025-05-01
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series Clean Technologies
spelling doaj-art-47d2a248aee74c86955a395e17a5223c2025-08-20T03:27:28ZengMDPI AGClean Technologies2571-87972025-05-01723810.3390/cleantechnol7020038Indirect Estimation of the Volumetric Throughput Performance in the Shredding of Solid WasteChristoph Feyerer0Karim Khodier1Tatjana Lasch2Roland Pomberger3Renato Sarc4Komptech GmbH, 8130 Frohnleiten, AustriaChair of Waste Processing Technology and Waste Management, Montanuniversität Leoben, 8700 Leoben, AustriaChair of Process Engineering for Industrial Environmental Protection, Montanuniversität Leoben, 8700 Leoben, AustriaChair of Waste Processing Technology and Waste Management, Montanuniversität Leoben, 8700 Leoben, AustriaChair of Waste Processing Technology and Waste Management, Montanuniversität Leoben, 8700 Leoben, AustriaThe volume or mass throughput of a mechanical treatment plant for commercial waste represents a key performance parameter. This measurement parameter is often unavailable, as the sensor technology required is often expensive or does not provide accurate data. The first process stage is usually a shredding machine, converting the waste into a transportable and separable fraction size. Here, a methodical approach is pursued which enables an indirect estimation of the volume throughput capacity based on further machine parameters, such as the drum speed and the drum torque. Based on 32 test data sets, two models were developed to approximate the volume throughput rate. The two models developed are the regression model and the displacement model. Furthermore, two reference models were defined to evaluate the accuracy of the two approaches developed: the so-called mean value model and the ANOVA model. When looking at the 80th percentile of the sign-adjusted relative deviation, the results show that the regression model, with ±40%, followed by the displacement model, with ±42%, enable significantly more accurate estimates of the volumetric throughput performance than the two reference models, with ±63% and ±71%, respectively.https://www.mdpi.com/2571-8797/7/2/38waste treatmentmixed solid wastemechanical treatmentshreddingthroughputmeasurement technology
spellingShingle Christoph Feyerer
Karim Khodier
Tatjana Lasch
Roland Pomberger
Renato Sarc
Indirect Estimation of the Volumetric Throughput Performance in the Shredding of Solid Waste
Clean Technologies
waste treatment
mixed solid waste
mechanical treatment
shredding
throughput
measurement technology
title Indirect Estimation of the Volumetric Throughput Performance in the Shredding of Solid Waste
title_full Indirect Estimation of the Volumetric Throughput Performance in the Shredding of Solid Waste
title_fullStr Indirect Estimation of the Volumetric Throughput Performance in the Shredding of Solid Waste
title_full_unstemmed Indirect Estimation of the Volumetric Throughput Performance in the Shredding of Solid Waste
title_short Indirect Estimation of the Volumetric Throughput Performance in the Shredding of Solid Waste
title_sort indirect estimation of the volumetric throughput performance in the shredding of solid waste
topic waste treatment
mixed solid waste
mechanical treatment
shredding
throughput
measurement technology
url https://www.mdpi.com/2571-8797/7/2/38
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AT tatjanalasch indirectestimationofthevolumetricthroughputperformanceintheshreddingofsolidwaste
AT rolandpomberger indirectestimationofthevolumetricthroughputperformanceintheshreddingofsolidwaste
AT renatosarc indirectestimationofthevolumetricthroughputperformanceintheshreddingofsolidwaste