Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Impact of reactive settler models on simulated WWTP performance

Författare

Summary, in English

Including a reactive settler model in a wastewater treatment plant model allows representation of the biological reactions taking place in the sludge blanket in the settler, something that is neglected in many simulation studies. The idea of including a reactive settler model is investigated for an ASM1 case study. Simulations with a whole plant model including the non-reactive Takacs settler model are used as a reference, and are compared to simulation results considering two reactive settler models. The first is a return sludge model block removing oxygen and a user-defined fraction of nitrate, combined with a non-reactive Takacs settler. The second is a fully reactive ASM1 Takacs settler model. Simulations with the ASM1 reactive settler model predicted a 15.3% and 7.4% improvement of the simulated N removal performance, for constant (steady-state) and dynamic influent conditions respectively. The oxygen/nitrate return sludge model block predicts a 10% improvement of N removal performance under dynamic conditions, and might be the better modelling option for ASM1 plants: it is computationally more efficient and it will not overrate the importance of decay processes in the settler.

Publiceringsår

2006

Språk

Engelska

Sidor

159-167

Publikation/Tidskrift/Serie

Water Science and Technology

Volym

53

Issue

1

Dokumenttyp

Artikel i tidskrift

Förlag

IWA Publishing

Ämne

  • Other Electrical Engineering, Electronic Engineering, Information Engineering

Nyckelord

  • wastewater
  • sedimentation
  • ASM1
  • reactive settler
  • activated sludge
  • modelling

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 0273-1223