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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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| 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. |
| format | Article |
| id | doaj-art-47d2a248aee74c86955a395e17a5223c |
| institution | Kabale University |
| issn | 2571-8797 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| 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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