A critical review on preparation, property prediction and application of sludge co-hydrothermal carbonization hydrochar as solid fuel

IF 7.4 2区 工程技术 Q1 ENGINEERING, CHEMICAL
Miao Gong , Piao Liu , Fuqiang Xu , Qiao Xu , Jingwei Feng , Ying Su , Yujie Fan
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引用次数: 0

Abstract

This paper reviews the preparation of sludge-based hydrochar through co-hydrothermal carbonization (co-HTC) and its application as a solid fuel. Sewage sludge (SS), a byproduct of wastewater biological treatment, possesses potential for energy utilization; however, hydrochar derived directly from hydrothermal carbonization (HTC) exhibits suboptimal fuel properties. Co-HTC, by processing SS with biomass rich in organic matter, significantly enhances the combustion performance of hydrochar. The study provides a detailed overview of the carbonization mechanisms and the interactions among components in the co-HTC. It evaluates the performance of co-hydrochar as a solid fuel from two perspectives: physicochemical properties and combustion characteristics. Special attention is given to the effects of biomass blending materials, mixing ratios, and hydrothermal conditions on the properties of hydrochar. The findings indicate that the elemental and organic composition of blending materials directly influence hydrochar quality, and optimizing material ratios and hydrothermal conditions can improve hydrochar properties to meet solid fuel requirements. Furthermore, the integration of machine learning is proposed to predict hydrochar properties based on feedstock composition and hydrothermal conditions. The review discusses future directions for SS co-HTC technology, aiming to provide theoretical foundations and technical support for SS resource utilization and hydrochar property prediction.
污泥共水热炭化烃类固体燃料的制备、性能预测及应用综述
综述了共水热炭化法制备污泥基烃类及其作为固体燃料的应用研究进展。污水污泥是污水生物处理的副产品,具有能源利用潜力;然而,直接由水热炭化(HTC)衍生的碳氢化合物表现出不理想的燃料性能。Co-HTC通过用富含有机物质的生物质处理SS,显著提高了烃类的燃烧性能。本研究对co-HTC的碳化机理和组分之间的相互作用进行了详细的综述。从物理化学性质和燃烧特性两方面评价了共氢炭作为固体燃料的性能。特别关注生物质混合材料、混合比例和水热条件对烃类性质的影响。研究结果表明,混合原料的元素组成和有机组成直接影响到水合物的质量,优化原料配比和水热条件可以改善水合物的性能,以满足固体燃料的要求。此外,提出了基于原料组成和热液条件的机器学习集成预测烃类性质的方法。对SS - co-HTC技术的未来发展方向进行了探讨,旨在为SS资源利用和烃类性质预测提供理论依据和技术支持。
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来源期刊
Journal of Environmental Chemical Engineering
Journal of Environmental Chemical Engineering Environmental Science-Pollution
CiteScore
11.40
自引率
6.50%
发文量
2017
审稿时长
27 days
期刊介绍: The Journal of Environmental Chemical Engineering (JECE) serves as a platform for the dissemination of original and innovative research focusing on the advancement of environmentally-friendly, sustainable technologies. JECE emphasizes the transition towards a carbon-neutral circular economy and a self-sufficient bio-based economy. Topics covered include soil, water, wastewater, and air decontamination; pollution monitoring, prevention, and control; advanced analytics, sensors, impact and risk assessment methodologies in environmental chemical engineering; resource recovery (water, nutrients, materials, energy); industrial ecology; valorization of waste streams; waste management (including e-waste); climate-water-energy-food nexus; novel materials for environmental, chemical, and energy applications; sustainability and environmental safety; water digitalization, water data science, and machine learning; process integration and intensification; recent developments in green chemistry for synthesis, catalysis, and energy; and original research on contaminants of emerging concern, persistent chemicals, and priority substances, including microplastics, nanoplastics, nanomaterials, micropollutants, antimicrobial resistance genes, and emerging pathogens (viruses, bacteria, parasites) of environmental significance.
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