Hydrogen production by suspension self-rotation enhanced pyrolysis of sludge particles in cyclone

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-01-27 DOI:10.1016/j.watres.2025.123198
Zhiqin Jiang , Yanan Liang , Shu Zhu , Kai Zheng , Yingjie Zhu , Danhui Yang , Hualin Wang , Pengbo Fu
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Abstract

The challenges faced by sludge pyrolysis units, including poor heat transfer efficiency and uneven heating of material groups, significantly hinder the green and low-carbon transformation and sustainable development of sludge treatment. The suspension self-rotation of sludge particles in a cyclone enhances particle heat transfer, thereby improving the pyrolysis process. In this study, we developed a novel method for sludge pyrolysis using Cyclone Suspension Self-Rotation Pyrolysis Reactor (CSSPR). Through numerical simulation and high-speed camera visualization, we analyzed the effects of cyclone cone angle, particle size, and inlet flow rate on particle suspension self-rotation. A systematic investigation was conducted into the mechanisms by which “particle suspension self-rotation” enhances “sludge particle pyrolysis”. Consequently, an effective method for utilizing hydrogen-rich gas produced by sludge suspension self-rotation pyrolysis was developed. The results showed that CSSPR with a 9° cone angle achieved optimal suspension autorotation efficiency. Under optimal conditions—sludge particle moisture content of 31.89% and particle suspension rotation rate of 100%, the hydrogen production per unit of sludge reached up to 265.78 mL/g, which is 1.3 times higher than that produced in a static state. Compared to traditional fixed-bed pyrolysis technology, CSSPR demonstrated superior pyrolysis performance, achieving a 155.78 mL/g higher hydrogen yield per unit of sludge. This study offers a novel approach to developing sludge resource pyrolysis technology, thereby providing an effective pathway for addressing climate change and advancing environmental governance.

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污泥颗粒在旋风分离器中悬浮自旋强化热解制氢
污泥热解装置所面临的传热效率差、物料组加热不均匀等挑战,严重阻碍了污泥处理的绿色低碳转型和可持续发展。污泥颗粒在旋流器中的悬浮自旋增强了颗粒的传热,从而改善了热解过程。在本研究中,我们开发了一种利用旋风悬浮自旋热解反应器(CSSPR)热解污泥的新方法。通过数值模拟和高速摄像机可视化,分析了旋流锥角、粒径和进口流量对颗粒悬浮液自旋的影响。系统探讨了“颗粒悬浮液自旋”增强“污泥颗粒热解”的机理。因此,开发了一种有效利用污泥悬浮自旋热解产生的富氢气体的方法。结果表明,当锥角为9°时,CSSPR的悬架自旋效率最佳。在污泥颗粒含水率为31.89%、颗粒悬浮旋转率为100%的最优条件下,单位污泥产氢量可达265.78 mL/g,是静态条件下的1.3倍。与传统的固定床热解技术相比,CSSPR的热解性能更优,单位污泥产氢率提高了155.78 mL/g。本研究为污泥资源化热解技术的发展提供了新的途径,从而为应对气候变化和推进环境治理提供了有效途径。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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