Dimensionality reduction of high-solid anaerobic digestion flow pattern: Flow velocity distribution model and control strategy

Zhenni Pan; Yuying Hu; Tengfang Hu; Haoran Mu; Huai Z Li

doi:10.1016/j.biortech.2024.132014

Dimensionality reduction of high-solid anaerobic digestion flow pattern: Flow velocity distribution model and control strategy

Bioresour Technol. 2024 Dec 22:132014. doi: 10.1016/j.biortech.2024.132014. Online ahead of print.

Authors

Zhenni Pan¹, Yuying Hu², Tengfang Hu¹, Haoran Mu¹, Huai Z Li³

Affiliations

¹ School of Civil Engineering and Architecture, East China Jiao Tong University, Nanchang 330013, China.
² School of Civil Engineering and Architecture, East China Jiao Tong University, Nanchang 330013, China; State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China. Electronic address: hu_yuying@foxmail.com.
³ Laboratory of Reactions and Process Engineering, Université de Lorraine, CNRS, 1, rue Grandville, BP 20451, Nancy Cedex 54001, France.

PMID: 39719200
DOI: 10.1016/j.biortech.2024.132014

Abstract

High-solid anaerobic digestion (HSAD) can be used to treat organic waste. However, the operating stability is limited by the hydraulic conditions; therefore, regulation is essential. The flow field contains a large amount of information that cannot be directly regulated. Dimension reduction research in HSAD could simplify hydrodynamic regulation by removing redundant information from the flow field to reduce the dimensionality. However, to date, no relevant studies have been conducted. In this study, dimension reduction research was conducted to simplify the regulation of the hydraulic conditions of HSAD by constructing a mathematical model based on the simulation results. The HSAD flow velocity distribution model was first proposed, which features the mixing efficiency of the reactor. In addition, an HSAD flow control model with a fitting error below 10% was proposed. The controlled hydraulic enhancement strategy for HSAD in this study provides new insights into mixing performance.

Keywords: Computational fluid dynamics; Flow control; Flow field downscaling; Strengthen fluidity.