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Impact on sludge inventory and control strategies using the benchmark simulation model no. 1 with the Burger-Diehl settler model

Elena Torfs (UGent) , Thomas Maere (UGent) , R Bürger, S Diehl and Ingmar Nopens (UGent)
(2015) WATER SCIENCE AND TECHNOLOGY. 71(10). p.1524-1535
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Abstract
An improved one-dimensional (1-D) model for the secondary clarifier, i.e. the Burger-Diehl model, was recently presented. The decisive difference to traditional layer models is that every detail of the implementation is in accordance with the theory of partial differential equations. The Burger-Diehl model allows accounting for hindered and compressive settling as well as inlet dispersion. In this contribution, the impact of specific features of the Burger-Diehl model on settler underflow concentration predictions, plant sludge inventory and mixed liquor suspended solids based control actions are investigated by using the benchmark simulation model no. 1. The numerical results show that the Burger-Diehl model allows for more realistic predictions of the underflow sludge concentration, which is essential for more accurate wet weather modelling and sludge waste predictions. The choice of secondary settler model clearly has a profound impact on the operation and control of the entire treatment plant and it is recommended to use the Burger-Diehl model as of now in any wastewater treatment plant modelling effort.
Keywords
WASTE-WATER TREATMENT, SECONDARY CLARIFIER, wet weather, underflow, layer model, clarifier, compression settling, DYNAMIC-MODEL, TANKS

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Chicago
Torfs, Elena, Thomas Maere, R Bürger, S Diehl, and Ingmar Nopens. 2015. “Impact on Sludge Inventory and Control Strategies Using the Benchmark Simulation Model No. 1 with the Burger-Diehl Settler Model.” Water Science and Technology 71 (10): 1524–1535.
APA
Torfs, E., Maere, T., Bürger, R., Diehl, S., & Nopens, I. (2015). Impact on sludge inventory and control strategies using the benchmark simulation model no. 1 with the Burger-Diehl settler model. WATER SCIENCE AND TECHNOLOGY, 71(10), 1524–1535.
Vancouver
1.
Torfs E, Maere T, Bürger R, Diehl S, Nopens I. Impact on sludge inventory and control strategies using the benchmark simulation model no. 1 with the Burger-Diehl settler model. WATER SCIENCE AND TECHNOLOGY. 2015;71(10):1524–35.
MLA
Torfs, Elena, Thomas Maere, R Bürger, et al. “Impact on Sludge Inventory and Control Strategies Using the Benchmark Simulation Model No. 1 with the Burger-Diehl Settler Model.” WATER SCIENCE AND TECHNOLOGY 71.10 (2015): 1524–1535. Print.
@article{6848566,
  abstract     = {An improved one-dimensional (1-D) model for the secondary clarifier, i.e. the Burger-Diehl model, was recently presented. The decisive difference to traditional layer models is that every detail of the implementation is in accordance with the theory of partial differential equations. The Burger-Diehl model allows accounting for hindered and compressive settling as well as inlet dispersion. In this contribution, the impact of specific features of the Burger-Diehl model on settler underflow concentration predictions, plant sludge inventory and mixed liquor suspended solids based control actions are investigated by using the benchmark simulation model no. 1. The numerical results show that the Burger-Diehl model allows for more realistic predictions of the underflow sludge concentration, which is essential for more accurate wet weather modelling and sludge waste predictions. The choice of secondary settler model clearly has a profound impact on the operation and control of the entire treatment plant and it is recommended to use the Burger-Diehl model as of now in any wastewater treatment plant modelling effort.},
  author       = {Torfs, Elena and Maere, Thomas and B{\"u}rger, R and Diehl, S and Nopens, Ingmar},
  issn         = {0273-1223},
  journal      = {WATER SCIENCE AND TECHNOLOGY},
  language     = {eng},
  number       = {10},
  pages        = {1524--1535},
  title        = {Impact on sludge inventory and control strategies using the benchmark simulation model no. 1 with the Burger-Diehl settler model},
  url          = {http://dx.doi.org/10.2166/wst.2015.122},
  volume       = {71},
  year         = {2015},
}

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