Analysis of energy saving and emission reduction of secondary fiber mill based on data mining
Waste paper recycling is an important way to realize the environmental protection development of the papermaking industry. The quality of the pulp will affect the pulp sales of the secondary fiber paper mills. The waste paper pulp can be adjusted by controlling the pulping process working conditions...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Vilnius Gediminas Technical University
2021-05-01
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| Series: | Journal of Environmental Engineering and Landscape Management |
| Subjects: | |
| Online Access: | https://www.jbem.vgtu.lt/index.php/JEELM/article/view/14219 |
| _version_ | 1831598596172021760 |
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| author | Song Hu Jigeng Li Mengna Hong Yi Man |
| author_facet | Song Hu Jigeng Li Mengna Hong Yi Man |
| author_sort | Song Hu |
| collection | DOAJ |
| description | Waste paper recycling is an important way to realize the environmental protection development of the papermaking industry. The quality of the pulp will affect the pulp sales of the secondary fiber paper mills. The waste paper pulp can be adjusted by controlling the pulping process working conditions, but the working conditions of the waste paper pulping process have too many parameters. And the parameters are coupled with each other, it is difficult to control. In order to find the best working conditions and improve the quality of the pulp, this study uses the association rules algorithm to optimize the parameters for the waste paper pulping process. These parameters are power of refiner, waste paper concentration of refiner, the volume of slurry that enters deinked process, deinking agent amount, deinking time, deinking temperature, bleaching agent amount, bleaching time, and bleaching temperature. The test results show that the qualified rate of the pulp produced under the improved working conditions is 92.56%, an increase of 6.93%, and the average electricity consumption per ton of pulp is reduced by 5.76 kWh/t. In addition to potential economic benefits, this method can reduce carbon emissions. |
| first_indexed | 2024-12-18T14:06:33Z |
| format | Article |
| id | doaj.art-b8125de22c654e8fa783c888a2194b29 |
| institution | Directory Open Access Journal |
| issn | 1648-6897 1822-4199 |
| language | English |
| last_indexed | 2024-12-18T14:06:33Z |
| publishDate | 2021-05-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Journal of Environmental Engineering and Landscape Management |
| spelling | doaj.art-b8125de22c654e8fa783c888a2194b292022-12-21T21:05:13ZengVilnius Gediminas Technical UniversityJournal of Environmental Engineering and Landscape Management1648-68971822-41992021-05-0129210.3846/jeelm.2021.14219Analysis of energy saving and emission reduction of secondary fiber mill based on data miningSong Hu0Jigeng Li1Mengna Hong2Yi Man3State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, 510640 Guangzhou, ChinaState Key Laboratory of Pulp and Paper Engineering, South China University of Technology, 510640 Guangzhou, ChinaState Key Laboratory of Pulp and Paper Engineering, South China University of Technology, 510640 Guangzhou, ChinaState Key Laboratory of Pulp and Paper Engineering, South China University of Technology, 510640 Guangzhou, ChinaWaste paper recycling is an important way to realize the environmental protection development of the papermaking industry. The quality of the pulp will affect the pulp sales of the secondary fiber paper mills. The waste paper pulp can be adjusted by controlling the pulping process working conditions, but the working conditions of the waste paper pulping process have too many parameters. And the parameters are coupled with each other, it is difficult to control. In order to find the best working conditions and improve the quality of the pulp, this study uses the association rules algorithm to optimize the parameters for the waste paper pulping process. These parameters are power of refiner, waste paper concentration of refiner, the volume of slurry that enters deinked process, deinking agent amount, deinking time, deinking temperature, bleaching agent amount, bleaching time, and bleaching temperature. The test results show that the qualified rate of the pulp produced under the improved working conditions is 92.56%, an increase of 6.93%, and the average electricity consumption per ton of pulp is reduced by 5.76 kWh/t. In addition to potential economic benefits, this method can reduce carbon emissions.https://www.jbem.vgtu.lt/index.php/JEELM/article/view/14219environmental sustainabilitywastewater managementwaste management technologies |
| spellingShingle | Song Hu Jigeng Li Mengna Hong Yi Man Analysis of energy saving and emission reduction of secondary fiber mill based on data mining Journal of Environmental Engineering and Landscape Management environmental sustainability wastewater management waste management technologies |
| title | Analysis of energy saving and emission reduction of secondary fiber mill based on data mining |
| title_full | Analysis of energy saving and emission reduction of secondary fiber mill based on data mining |
| title_fullStr | Analysis of energy saving and emission reduction of secondary fiber mill based on data mining |
| title_full_unstemmed | Analysis of energy saving and emission reduction of secondary fiber mill based on data mining |
| title_short | Analysis of energy saving and emission reduction of secondary fiber mill based on data mining |
| title_sort | analysis of energy saving and emission reduction of secondary fiber mill based on data mining |
| topic | environmental sustainability wastewater management waste management technologies |
| url | https://www.jbem.vgtu.lt/index.php/JEELM/article/view/14219 |
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