Framework for Construction of Multi-scale Models for Biological Wastewater Treatment Processes - Case Study: Autotrophic Nitrogen Conversion

Anna Katrine Vangsgaard, Miguel Mauricio Iglesias, Krist Gernaey, Barth F. Smets, Gürkan Sin

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

87 Downloads (Pure)

Abstract

In wastewater treatment technologies, employing biofilms or granular biomass, processes might occur at very different spatial and temporal scales. Model development for such systems is typically a tedious, complicated, and time consuming task, which involves selecting appropriate model equations for the different scales, making appropriate and simplifying assumptions, connecting them through a defined linking scheme, analyzing and solving the model equations numerically, and performing parameter estimations if necessary. In this study, a structured framework for modeling such systems is developed. It aims to support the user at the various steps and to reduce the time it takes to generate a model ready for application. An implementation of the framework is illustrated using a simple case study, which considers treatment of a nitrogen-rich wastewater via nitritation.
Original languageEnglish
Title of host publication8th IWA Symposium on Systems Analysis and Integrated Assessmen
Publication date2011
Pages687-690
Publication statusPublished - 2011
Event8th IWA Symposium on System Analysis and Integrated Assessment - San Sebastian, Spain
Duration: 20 Jun 201122 Jun 2011

Conference

Conference8th IWA Symposium on System Analysis and Integrated Assessment
CountrySpain
CitySan Sebastian
Period20/06/201122/06/2011

Keywords

  • Modeling framework
  • Nitrogen conversion
  • Multi-scale model
  • AOB
  • Wastewater treatment

Cite this

Vangsgaard, A. K., Mauricio Iglesias, M., Gernaey, K., Smets, B. F., & Sin, G. (2011). Framework for Construction of Multi-scale Models for Biological Wastewater Treatment Processes - Case Study: Autotrophic Nitrogen Conversion. In 8th IWA Symposium on Systems Analysis and Integrated Assessmen (pp. 687-690)