Response surface optimization of sludge dewatering process: synergistic enhancement by ultrasonic, chitosan and sludge-based biochar

Yahong Yang, Xingfeng Yang, Yirong Chen, Xiaowei Li, Qiyong Yang, Yangying Li, P. Ma, Huining Zhang, Shenghui Xu
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Abstract

Due to the colloidal stability, the high compressibility and the high hydration of extracellular polymeric substances (EPS), it is difficult to efficiently dehydrate sludge. In order to enhance sludge dewatering, the process of ultrasonic (US) cracking, chitosan (CTS) re-flocculation and sludge-based biochar (SBB) skeleton adsorption of water-holding substances to regulate sludge dewaterability was proposed. Based on the response surface method, the prediction model of the specific resistance to filtration (SRF) and sludge cake moisture content (MC) was established. The US cracking time and the dosage of CTS and SBB were optimized. The results showed that the optimal parameters of the three were 5.08 s, 10.1 mg/g DS and 0.477 g/g DS, respectively. Meantime, the SRF and MC were 5.4125 × 1,011 m/kg and 76.8123%, which significantly improved the sludge dewaterability. According to the variance analysis, it is found that the fitting degree of SRF and MC model is good, which also confirms that there is significant interaction and synergy between US, CTS and SBB, and the contribution of CTS and SBB is greater. Moreover, the process significantly improves the sludge's calorific value and makes its combustion more durable.
响应面优化污泥脱水工艺:超声波、壳聚糖和污泥基生物炭的协同增效作用
由于细胞外高分子物质(EPS)的胶体稳定性、高可压缩性和高水合性,污泥难以有效脱水。为了提高污泥脱水性,提出了超声波(US)裂解、壳聚糖(CTS)再絮凝和污泥基生物炭(SBB)骨架吸附保水物质来调节污泥脱水性的工艺。基于响应面法,建立了比阻滤(SRF)和污泥饼含水率(MC)的预测模型。对 US 裂解时间以及 CTS 和 SBB 的用量进行了优化。结果表明,三者的最佳参数分别为 5.08 s、10.1 mg/g DS 和 0.477 g/g DS。同时,SRF 和 MC 分别为 5.4125 × 1,011 m/kg 和 76.8123%,显著改善了污泥的脱水性。根据方差分析,SRF 和 MC 模型的拟合度较好,这也证实了 US、CTS 和 SBB 之间存在显著的相互作用和协同作用,且 CTS 和 SBB 的贡献较大。此外,该工艺还大大提高了污泥的热值,使其燃烧更加持久。
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