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

Authors :
Yahong Yang
Xingfeng Yang
Yirong Chen
Xiaowei Li
Qiyong Yang
Yangying Li
Pengjing Ma
Huining Zhang
Shenghui Xu
Source :
Water Science and Technology, Vol 89, Iss 7, Pp 1630-1646 (2024)
Publication Year :
2024
Publisher :
IWA Publishing, 2024.

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 dry solids (DS) and 0.477 g/g DS, respectively. Meantime, the SRF and MC were 5.4125 × 1011 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. HIGHLIGHTS Ultrasonic (US) cracking, chitosan (CTS) flocculation and sludge-based biochar (SBB) adsorption of water-holding substances synergistically enhance sludge dewaterability.; Response surface methodology (RSM) was used to optimize the US time and the dosage of CTS and SBB.; Established predictive models for the specific resistance to filtration and sludge cake moisture content.;

Details

Language :
English
ISSN :
02731223 and 19969732
Volume :
89
Issue :
7
Database :
Directory of Open Access Journals
Journal :
Water Science and Technology
Publication Type :
Academic Journal
Accession number :
edsdoj.7516261a78c349f69b0d0b0d27d6516d
Document Type :
article
Full Text :
https://doi.org/10.2166/wst.2024.080