Co-pyrolysis of coal-derived sludge and low-rank coal: Thermal behaviour and char yield prediction
Coal-derived sludge, a solid waste produced by the coal industry, offers potential opportunities for resource recovery due to its high organic matter. However, its products face challenges related to low utilization efficiency and economic value. Effective and clean treatment of coal-derived sludge...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Fuel Processing Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0378382024001358 |
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| author | Tianli Zhang Chenxu Zhang Hai Ren Zhong Huang Jun Feng Na Liu Rui Li Yulong Wu |
| author_facet | Tianli Zhang Chenxu Zhang Hai Ren Zhong Huang Jun Feng Na Liu Rui Li Yulong Wu |
| author_sort | Tianli Zhang |
| collection | DOAJ |
| description | Coal-derived sludge, a solid waste produced by the coal industry, offers potential opportunities for resource recovery due to its high organic matter. However, its products face challenges related to low utilization efficiency and economic value. Effective and clean treatment of coal-derived sludge is essential for sustainable development. Herein, we studied the co-pyrolysis treatment of coal-derived sludge and low-rank coal at different temperatures (500 °C−900 °C) and pretreatment methods (mechanical mixing and hydrothermal co-treatment). The co-pyrolysis of sludge and coal could increase the pyrolysis char yield and H2 yield, as well as reduce CO2 emissions. The hydrothermal co-treatment significantly improved the cleanliness of the co-pyrolysis treatment. Then we conducted a comprehensive analysis of the properties of the pyrolysis char using different characterization techniques. In order to better evaluate the distribution of co-pyrolysis product yield, six machine learning models were developed to predice co-pyrolysis char yield. The best model-predicted values showed excellent predictive performance when compared to the experimental values at high pyrolysis temperatures (≥700 °C). This study provided a new perspective on the resource utilization of coal-derived sludge and low-rank coal. |
| format | Article |
| id | doaj-art-e90eec8ff3794179b90c94dead858cfa |
| institution | Kabale University |
| issn | 0378-3820 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Fuel Processing Technology |
| spelling | doaj-art-e90eec8ff3794179b90c94dead858cfa2025-01-15T04:11:31ZengElsevierFuel Processing Technology0378-38202025-03-01267108165Co-pyrolysis of coal-derived sludge and low-rank coal: Thermal behaviour and char yield predictionTianli Zhang0Chenxu Zhang1Hai Ren2Zhong Huang3Jun Feng4Na Liu5Rui Li6Yulong Wu7School of Chemical Engineering, Xinjiang University, Ürümqi 830046, ChinaSchool of Chemical Engineering, Xinjiang University, Ürümqi 830046, ChinaAntai Thermal Power Company, Huaneng Group, Manzhouli 021400, ChinaDepartment of Energy and Power Engineering, Tsinghua University, Beijing 100084, ChinaSchool of Chemical Engineering, Xinjiang University, Ürümqi 830046, China; Corresponding author.School of Chemical Engineering, Xinjiang University, Ürümqi 830046, ChinaMOE Engineering Center of Forestry Biomass Materials and Bioenergy, Beijing Forestry University, Beijing 100083, ChinaSchool of Chemical Engineering, Xinjiang University, Ürümqi 830046, China; Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100084, China; Corresponding author at: School of Chemical Engineering, Xinjiang University, Ürümqi 830046, China.Coal-derived sludge, a solid waste produced by the coal industry, offers potential opportunities for resource recovery due to its high organic matter. However, its products face challenges related to low utilization efficiency and economic value. Effective and clean treatment of coal-derived sludge is essential for sustainable development. Herein, we studied the co-pyrolysis treatment of coal-derived sludge and low-rank coal at different temperatures (500 °C−900 °C) and pretreatment methods (mechanical mixing and hydrothermal co-treatment). The co-pyrolysis of sludge and coal could increase the pyrolysis char yield and H2 yield, as well as reduce CO2 emissions. The hydrothermal co-treatment significantly improved the cleanliness of the co-pyrolysis treatment. Then we conducted a comprehensive analysis of the properties of the pyrolysis char using different characterization techniques. In order to better evaluate the distribution of co-pyrolysis product yield, six machine learning models were developed to predice co-pyrolysis char yield. The best model-predicted values showed excellent predictive performance when compared to the experimental values at high pyrolysis temperatures (≥700 °C). This study provided a new perspective on the resource utilization of coal-derived sludge and low-rank coal.http://www.sciencedirect.com/science/article/pii/S0378382024001358Coal-derived sludgeLow-rank coalHydrothermal co-treatmentCo-pyrolysisMachine learning |
| spellingShingle | Tianli Zhang Chenxu Zhang Hai Ren Zhong Huang Jun Feng Na Liu Rui Li Yulong Wu Co-pyrolysis of coal-derived sludge and low-rank coal: Thermal behaviour and char yield prediction Fuel Processing Technology Coal-derived sludge Low-rank coal Hydrothermal co-treatment Co-pyrolysis Machine learning |
| title | Co-pyrolysis of coal-derived sludge and low-rank coal: Thermal behaviour and char yield prediction |
| title_full | Co-pyrolysis of coal-derived sludge and low-rank coal: Thermal behaviour and char yield prediction |
| title_fullStr | Co-pyrolysis of coal-derived sludge and low-rank coal: Thermal behaviour and char yield prediction |
| title_full_unstemmed | Co-pyrolysis of coal-derived sludge and low-rank coal: Thermal behaviour and char yield prediction |
| title_short | Co-pyrolysis of coal-derived sludge and low-rank coal: Thermal behaviour and char yield prediction |
| title_sort | co pyrolysis of coal derived sludge and low rank coal thermal behaviour and char yield prediction |
| topic | Coal-derived sludge Low-rank coal Hydrothermal co-treatment Co-pyrolysis Machine learning |
| url | http://www.sciencedirect.com/science/article/pii/S0378382024001358 |
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