Generation of diurnal variation for influent data for dynamic simulation

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • G. Langergraber - , University of Natural Resources and Life Sciences, Vienna (Author)
  • J. Alex - , Institut für Automation und Kommunikation e.V. (ifak) Magdeburg (Author)
  • N. Weissenbacher - , University of Natural Resources and Life Sciences, Vienna (Author)
  • D. Woerner - , Iaks - Ingenieurbüro für Abfluss - Kläranlagen - Steuerung GmbH (Author)
  • Markus Ahnert - , Chair of Urban Water Management (Author)
  • T. Frehmann - , Emschergenossenschaft/Lippeverband (Author)
  • N. Halft - , RWTH Aachen University (Author)
  • L. Hobus - , Wupperverbandsgesellschaft für Integrale Wasserwirtschaft mbH (Author)
  • M. Plattes - , Luxembourg Institute of Science and Technology (Author)
  • V. Spering - , Leibniz University Hannover (LUH) (Author)
  • S. Winkler - , Vienna University of Technology, Max Planck Institute of Molecular Cell Biology and Genetics (Author)

Abstract

When using dynamic simulation for fine tuning of the design of activated sludge (AS) plants diurnal variations of influent data are required. For this application usually only data from the design process and no measured data are available. In this paper a simple method to generate diurnal variations of wastewater flow and concentrations is described. The aim is to generate realistic influent data in terms of flow, concentrations and TKN/COD ratios and not to predict the influent of the AS plant in detail. The work has been prepared within the framework of HSG-Sim (Hochschulgruppe Simulation, E-mail: http://www.hsgsim.org), a group of researchers from Germany, Austria, Luxembourg, Poland, the Netherlands and Switzerland.

Details

Original languageEnglish
Pages (from-to)1483-1486
Number of pages4
JournalWater Science and Technology
Volume57
Issue number9
Publication statusPublished - 2008
Peer-reviewedYes

External IDs

PubMed 18496016
ORCID /0000-0001-9033-1847/work/141551871

Keywords

Keywords

  • Activated sludge, Diurnal variation, Dynamic simulation, Influent data, Modelling