Superstructure Development and Optimization under Uncertainty for Design & Retrofit of Municipal Wastewater Treatment Plants.

Hande Bozkurt, Alberto Quaglia, Krist Gernaey, Gürkan Sin

Research output: Contribution to journalConference articleResearchpeer-review


In this contribution, an optimization - based approach is presented for optimal process selection and design for domestic wastewater treatment plant s (WWTP s ). In particular, we address the issue of uncertainties by formulating the WWTP design problem as a Stochastic Mixed Integer (Non) Linear Programming (sMI (N) LP) problem , which is then solved to determine the optimal process selection and flow diagram (i.e. the interconnection between process units) that meet s a set of performance criteria including effluent quality requirements , cost and technical requirements. The application of the fr amework is highlighted using a case study aiming at designing a new WWTP under different objective function scenarios. For the uncertainty analysis, sources related to influent wastewater composition, operational cost and effluent permit requirements are s tudied and robust design candidates are generated and discussed.
Original languageEnglish
Book seriesComputer Aided Chemical Engineering
Pages (from-to)37–42
Publication statusPublished - 2014
Event24th European Symposium on Computer Aided Process Engineering - Budapest, Hungary
Duration: 15 Jun 201418 Jun 2014


Conference24th European Symposium on Computer Aided Process Engineering


  • Design
  • Modelling
  • Superstructure optimization
  • Uncertainty analysis
  • Wastewater treatment

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