Hindered and compression solid settling functions - Sensor data collection, practical model identi fi cation and validation

WATER RESEARCH

卷:184

Article

Plosz, Benedek G.^1,3  Climent, Javier²  Griffin, Christopher T.¹  Chiva, Sergio²  Mukherjee, Rani¹  Penkarski-Rodon, Elena³  Clarke, Matthew¹  Valverde-Perez, Borja³ 

[1] Univ Bath, Dept Chem Engn, Bath BA2 7AY, Avon, England

[2] Univ Jaume 1, Dept Mech Engn & Construct, Av Vicent Sos Baynat S-N, Castellon de La Plana 12071, Spain

[3] Tech Univ Denmark, Dept Environm Engn, Bldg 115, DK-2800 Lyngby, Denmark

关键词: Hindered and compression solid settling;    velocity;    Compression solid concentration and;    effective solid stress;    Settling column sensor;    One-dimensional model;    Computational fluid dynamics (CFD);    Practical model identification;   

DOI  :  10.1016/j.watres.2020.116129

来源: Elsevier

【 摘 要 】

Secondary settling tanks (SSTs) are the most hydraulically sensitive unit operations in activated sludge water resource recovery facilities (WRRF). Mathematical models for predicting activated sludge solids settling velocity include parameters that show irreducible epistemic uncertainty. Therefore, reliable and periodic calibration of the settling velocity model is key for predicting activated sludge process capacity, thus averting possible failures under wet-weather flowand filamentous bulking conditions. The two main knowledge gaps addressed here are: (1) Do constitutive functions for hindered and compression settling exist, for which all velocity parameters can be uniquely estimated? (2) What is the optimum sensor data requirement of developing reliable settling velocity functions? Innovative settling column sensor and full-scale data were used to identify and validate amended Vesilind function for hindered settling and a new exponential function for compression settling velocity using one-dimensional and computational fluid dynamics simulations. Results indicate practical model identifiability under well -settling and filamentous bulking conditions. (c) 2020 Elsevier Ltd. All rights reserved.

【 授权许可】

Free