Technical Papers
Feb 20, 2024

Performance Optimization and Numerical Simulation Study of Sludge Low-Temperature Drying System

Publication: Journal of Environmental Engineering
Volume 150, Issue 5

Abstract

Sludge production increases year by year, which causes great environmental pressure. Low-temperature sludge drying technology is a kind of technology with energy conservation and environmental protection, which is widely favored by the sludge drying industry. The distribution of airflow in the drying chamber is the key factor affecting the drying performance of sludge drying system. In this paper, a uniform flow structure was designed, and a numerical simulation study of the designed flow field in the designed drying chamber was carried out by STAR-CCM+ software. The uniform flow structure of the sludge drying chamber and the optimal flow field distribution conditions on the drying chamber and conveyor belt were obtained so that the uniformity of air distribution in the sludge drying chamber and conveyor belt was improved, and the drying performance of the sludge low-temperature drying system was improved. The effectiveness of the numerical simulation was verified by experiments. The experimental results showed that when the number of shunt plates is three, the shape is an involute arc plate, the distance between the first and third shunt plate is 1,600 mm, and the distance between the second and first shunt plate is 700–900 mm. The flow field distribution on the drying room and the conveyor belt was the most uniform when the inlet wind speed was between 25 and 35  m/s. In addition, there is a strong correlation between the experimental results and the simulation results, which can prove the effectiveness and reliability of the numerical model.

Practical Applications

The airflow distribution inside the drying room was very uneven: the airflow would change direction with the shape of the obstacle, and the direction of airflow movement was easily affected by the shape of the shunt plates. Therefore, the shape of the shunt plates of the flow sharing structure was different, and the effect of the flow field was also different. Therefore, it was necessary to optimize the distribution uniformity of the flow field in the drying room. STAR-CCM+ software was used to optimize the flow field of the drying room, and the distribution of the velocity field was mainly considered. Through numerical simulation, the shape, quantity, and layout of the flow sharing structure were simulated and optimized, and the flow sharing structure that could improve the uniformity of air distribution in the drying room was designed. As long as these problems are solved, the low-temperature drying system could greatly improve the energy consumption of sludge dewatering, carry out sludge reduction treatment, and also be applied in large-scale industrialization, greatly reducing the problem of sludge treatment and reducing the environmental pollution.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

The authors gratefully acknowledge the financial support from science and technology innovation leading talent project of special support plan for high-level talents of Zhejiang Province (201R52056), Zhejiang Provincial Natural Science Foundation (Grant Nos. LZ23E080001 and LR19E060001), Major Science and Technology Projects of Jinhua City (Grant No. 2022-1-014), Jiangsu Province International Science and Technology Cooperation Project (BZ2021008), and the National Natural Science Foundation of China (52376079).

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Go to Journal of Environmental Engineering
Journal of Environmental Engineering
Volume 150Issue 5May 2024

History

Received: Aug 4, 2023
Accepted: Dec 14, 2023
Published online: Feb 20, 2024
Published in print: May 1, 2024
Discussion open until: Jul 20, 2024

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Xilong Lu
Lecturer, College of Mechanical and Electrical Engineering, China Jiliang Univ., Hangzhou 310018, China.
Long Deng
Assistant Teacher, New Energy Engineering and Automotive College, Huzhou Vocational and Technological College, Huzhou 313099, China.
Yanhong Jiao
Assistant Teacher, New Energy Engineering and Automotive College, Huzhou Vocational and Technological College, Huzhou 313099, China.
Qiang Sheng
Associate Professor, New Energy Engineering and Automotive College, Huzhou Vocational and Technological College, Huzhou 313099, China.
Professor, College of Science, China Jiliang Univ., Hangzhou 310018, China. ORCID: https://orcid.org/0000-0002-4349-5627
Yan Zhang
Lecturer, College of Mechanical and Electrical Engineering, China Jiliang Univ., Hangzhou 310018, China.
Guoqing Wang
Manufacturing Engineer, Jiuyang Small Appliance Co., Ltd., 22nd St., Qiantang District, Hangzhou 310018, China.
Yue Chen
Mechanical Engineer, Xinyi Electrical Heating Machinery Co., Ltd., No. 131 Hejing Rd., Qiantang District, Hangzhou 310018, China.
Liang Zhou
Mechanical Engineer, Xinyi Electrical Heating Machinery Co., Ltd., No. 131 Hejing Rd., Qiantang District, Hangzhou 310018, China.
Yulin Li
Postgraduate Student, College of Mechanical and Electrical Engineering, China Jiliang Univ., Hangzhou 310018, China.
Professor, College of Mechanical and Electrical Engineering, China Jiliang Univ., Hangzhou 310018, China (corresponding author). Email: [email protected]

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