The state-of-the-art review on biochar as green additives in cementitious composites: performance, applications, machine learning predictions, and environmental and economic implications
Abstract Considerable carbon emissions from the cement industry pose a notable challenge to achieving long-term sustainable development and creating an enriched social environment. Biochar (BC) obtained from biomass pyrolysis can be used as a carbon-negative material, and it plays a crucial role in...
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| Format: | Article |
| Language: | English |
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Springer
2025-01-01
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| Series: | Biochar |
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| Online Access: | https://doi.org/10.1007/s42773-024-00423-1 |
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| author | Ping Ye Binglin Guo Huyong Qin Cheng Wang Yang Liu Yuyang Chen Pengfei Bian Di Lu Lei Wang Weiping Zhao Yonggan Yang Li Hong Peng Gao Peiyong Ma Binggen Zhan Qijun Yu |
| author_facet | Ping Ye Binglin Guo Huyong Qin Cheng Wang Yang Liu Yuyang Chen Pengfei Bian Di Lu Lei Wang Weiping Zhao Yonggan Yang Li Hong Peng Gao Peiyong Ma Binggen Zhan Qijun Yu |
| author_sort | Ping Ye |
| collection | DOAJ |
| description | Abstract Considerable carbon emissions from the cement industry pose a notable challenge to achieving long-term sustainable development and creating an enriched social environment. Biochar (BC) obtained from biomass pyrolysis can be used as a carbon-negative material, and it plays a crucial role in the reduction of global carbon emissions. The development of more efficient and cost-effective technologies to fully realize this potential and reduce the environmental impact of BC production and use remains a formidable challenge. The utilization of BC to prepare sustainable cementitious composites with economically value-added benefits has recently attracted much research interest. Therefore, this review analyzes factors influencing the physicochemical properties of BC and their optimization methods, as well as the impact of BC addition on various cement composites and their potential applications. Besides, recent advances in machine learning for predicting the properties of composites and the environmental-economic implications of material are reviewed. The progress and challenges of BC–cement composites are discussed and potential directions for exploration are provided. Therefore, it is recommended to explore commercialization pathways tailored to local conditions and to develop machine learning models for performance prediction and life-cycle analysis, thereby promoting the widespread application of BC in industry and construction. Graphical Abstract |
| format | Article |
| id | doaj-art-078445a716dc44d295bde7b5d31ea61a |
| institution | Kabale University |
| issn | 2524-7867 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Biochar |
| spelling | doaj-art-078445a716dc44d295bde7b5d31ea61a2025-01-26T12:46:15ZengSpringerBiochar2524-78672025-01-017113010.1007/s42773-024-00423-1The state-of-the-art review on biochar as green additives in cementitious composites: performance, applications, machine learning predictions, and environmental and economic implicationsPing Ye0Binglin Guo1Huyong Qin2Cheng Wang3Yang Liu4Yuyang Chen5Pengfei Bian6Di Lu7Lei Wang8Weiping Zhao9Yonggan Yang10Li Hong11Peng Gao12Peiyong Ma13Binggen Zhan14Qijun Yu15College of Civil Engineering, Hefei University of TechnologyCollege of Civil Engineering, Hefei University of TechnologyCollege of Civil Engineering, Hefei University of TechnologyCollege of Civil Engineering, Hefei University of TechnologyCollege of Civil Engineering, Hefei University of TechnologyCollege of Civil Engineering, Hefei University of TechnologyCollege of Civil Engineering, Hefei University of TechnologyCollege of Civil Engineering, Hefei University of TechnologyState Key Laboratory of Clean Energy Utilization, Zhejiang UniversityCollege of Civil Engineering, Hefei University of TechnologyCollege of Civil Engineering, Hefei University of TechnologyCollege of Civil Engineering, Hefei University of TechnologyCollege of Civil Engineering, Hefei University of TechnologyEngineering Research Center of Low-Carbon Technology and Equipment for Cement-Based Materials, Ministry of Education, Hefei University of TechnologyCollege of Civil Engineering, Hefei University of TechnologyCollege of Civil Engineering, Hefei University of TechnologyAbstract Considerable carbon emissions from the cement industry pose a notable challenge to achieving long-term sustainable development and creating an enriched social environment. Biochar (BC) obtained from biomass pyrolysis can be used as a carbon-negative material, and it plays a crucial role in the reduction of global carbon emissions. The development of more efficient and cost-effective technologies to fully realize this potential and reduce the environmental impact of BC production and use remains a formidable challenge. The utilization of BC to prepare sustainable cementitious composites with economically value-added benefits has recently attracted much research interest. Therefore, this review analyzes factors influencing the physicochemical properties of BC and their optimization methods, as well as the impact of BC addition on various cement composites and their potential applications. Besides, recent advances in machine learning for predicting the properties of composites and the environmental-economic implications of material are reviewed. The progress and challenges of BC–cement composites are discussed and potential directions for exploration are provided. Therefore, it is recommended to explore commercialization pathways tailored to local conditions and to develop machine learning models for performance prediction and life-cycle analysis, thereby promoting the widespread application of BC in industry and construction. Graphical Abstracthttps://doi.org/10.1007/s42773-024-00423-1BiocharCementCarbon neutralApplicationsMachine learning |
| spellingShingle | Ping Ye Binglin Guo Huyong Qin Cheng Wang Yang Liu Yuyang Chen Pengfei Bian Di Lu Lei Wang Weiping Zhao Yonggan Yang Li Hong Peng Gao Peiyong Ma Binggen Zhan Qijun Yu The state-of-the-art review on biochar as green additives in cementitious composites: performance, applications, machine learning predictions, and environmental and economic implications Biochar Biochar Cement Carbon neutral Applications Machine learning |
| title | The state-of-the-art review on biochar as green additives in cementitious composites: performance, applications, machine learning predictions, and environmental and economic implications |
| title_full | The state-of-the-art review on biochar as green additives in cementitious composites: performance, applications, machine learning predictions, and environmental and economic implications |
| title_fullStr | The state-of-the-art review on biochar as green additives in cementitious composites: performance, applications, machine learning predictions, and environmental and economic implications |
| title_full_unstemmed | The state-of-the-art review on biochar as green additives in cementitious composites: performance, applications, machine learning predictions, and environmental and economic implications |
| title_short | The state-of-the-art review on biochar as green additives in cementitious composites: performance, applications, machine learning predictions, and environmental and economic implications |
| title_sort | state of the art review on biochar as green additives in cementitious composites performance applications machine learning predictions and environmental and economic implications |
| topic | Biochar Cement Carbon neutral Applications Machine learning |
| url | https://doi.org/10.1007/s42773-024-00423-1 |
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