4.7 Article

Emission control of NOx precursors during sewage sludge pyrolysis using an integrated pretreatment of Fenton peroxidation and CaO conditioning

期刊

FUEL
卷 195, 期 -, 页码 208-216

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.fuel.2017.01.067

关键词

Sludge; Pyrolysis; Nitrogen transformation; Fenton peroxidation; CaO conditioning

资金

  1. National Natural Science Foundation of China [51506064, 51661145010, 51606075]

向作者/读者索取更多资源

In order to control the emissions of NOx precursors during sewage sludge pyrolysis, we proposed a novel integrated pretreatment method based on Fenton peroxidation and CaO conditioning. Nitrogen transformation was investigated using a self-designed drop-tube/fixed-bed furnace, and the mechanism of influence of residual conditioners was further clarified by employing model compounds. According to the results, the conversion of sludge-N to gas-N at 873-1273 K was strengthened by composite conditioning during the pyrolysis process. The remaining iron salts prevented some nitrogenous organic matter from deamination, whereas calcium compounds promoted the decomposition of proteins and amine to release NH3. Active iron atoms derived from an Fe-bearing conditioner reacted with NH3 through the formation of Fe alpha N. Furthermore, combined conditioning hampered the conversion of amine-Nipyridine-N, pyrrole-N and nitrile-N to HCN, therefore enhancing their yields in char. The residual Ca compounds, which presented as Ca(OH)(2), facilitated the hydrolysis of HCN and hampered HCN generation from amine-N, nitrile-N and heterocyclic-N in tar. Both residual iron and calcium conditioners were capable of reacting with protein-N in sludge and char to form Fec,N and CaCxNy, respectively. The formation of complex Ca2Fe2O5 facilitated the decomposition of these intermediates, thus facilitating the conversion of sludge-N and NOx precursors (tar-N, NH3, HCN) to N-2, achieving a highest non-polluting gas yield of 80.5%. (C) 2017 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据