使用源自蛋壳的 CaO 催化剂催化气化城市固体废物:对最佳 H2 产量、产量分布和焦油化合物的研究

Azhar Ali Laghari , Imtiaz Ali Jamro , Akash Kumar , Guanyi Chen , Shahdev Sajnani , Zhangzhen Guo , Yongheng Shen , Junzhe Zhang , Salim Khoso , Qingxia Guo , Wenchao Ma
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Tar content was efficiently declined from 11.34 wt. % to 4.7 , wt. %, which ultimately elevated the H<sub>2</sub> and syngas from 33.95 mol% to 51.27 mol% and 74.05 to 83.4674.05–83.46 wt. %, respectively. The model showed a strong interaction among the statistical parameters verified through the regression values; R<sup>2</sup> = 0.990, P-value = 0.000005, respectively. Scanning electron microscopy, X-ray diffraction, and Brunauer-Emmett-Teller techniques investigated the catalyst's structure hence; presented comparable results. From tar analysis, the aromatics were found as the dominant family followed by polycyclic aromatic, phenyls, aliphatic, aromatic heterocyclic, polycyclic, and aromatic ketones. 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引用次数: 0

摘要

本研究报告了通过气化技术从城市固体废弃物(MSW)中提取氢气(H2)的最佳方法。实验设计和数据验证采用了响应面模型。结果表明,CaO 催化剂具有更好的性能,与非催化气化相比,主要以反应温度和催化剂负载为关键参数,可提高 15 摩尔%的 H2 产量。焦油含量从 11.34 wt. % 有效降至 4.7 wt. %,最终使 H2 和合成气的含量分别从 33.95 mol% 和 74.05 mol% 提高到 51.27 mol% 和 83.4674.05-83.46 wt. %。通过回归值验证,该模型显示统计参数之间存在很强的相互作用;R2 = 0.990,P 值 = 0.000005。扫描电子显微镜、X 射线衍射和布鲁瑙尔-艾美特-泰勒技术对催化剂的结构进行了研究,并得出了相似的结果。焦油分析发现,芳香族是主要家族,其次是多环芳香族、苯基、脂肪族、芳香杂环族、多环族和芳香酮族。产生的最佳 H2 产量为 51.27 摩尔%(H2/CO 比率为 2.82,LHV 为 9.47 兆焦耳/立方米,H2 产量为 22.74 摩尔千克-兆瓦-1),可以更好地替代日益枯竭的化石燃料,并用于液体燃料生产和发电。
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Catalytic gasification of municipal solid waste using eggshell-derived CaO catalyst: An investigation of optimum H2 production, production distribution, and tar compounds

This study reports the optimum hydrogen (H2) production from municipal solid waste (MSW) via waste eggshell derived-CaO catalyst through gasification technology. The response surface model was applied to design the experiments and the data validation. Results showed that CaO catalyst had a better performance that enhanced 15 mol% more H2 production than non-catalytic gasification by mainly involving reaction temperature and catalyst loading as the critical parameters. Tar content was efficiently declined from 11.34 wt. % to 4.7 , wt. %, which ultimately elevated the H2 and syngas from 33.95 mol% to 51.27 mol% and 74.05 to 83.4674.05–83.46 wt. %, respectively. The model showed a strong interaction among the statistical parameters verified through the regression values; R2 = 0.990, P-value = 0.000005, respectively. Scanning electron microscopy, X-ray diffraction, and Brunauer-Emmett-Teller techniques investigated the catalyst's structure hence; presented comparable results. From tar analysis, the aromatics were found as the dominant family followed by polycyclic aromatic, phenyls, aliphatic, aromatic heterocyclic, polycyclic, and aromatic ketones. Optimum H2 production of 51.27 mol% (with H2/CO ratio 2.82, LHV 9.47 MJ/Nm3, and H2 yield 22.74 mol kg-MSW−1) was produced which can be a better alternative to depleting fossil fuels and utilized for liquid fuel manufacturing and power generation.

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