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      Catchment & sewer network simulation model to benchmark control strategies within urban wastewater systems

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      catchmentsewer benchmark_manuscipt_revised EMS Saagi et al. 2016.pdf (962.2Kb)
      Date
      2016-04
      Author
      Saagi, Ramesh
      Flores-Alsina, Xavier
      Fu, Guangtao
      Butler, David
      Gernaey, Krist V.
      Jeppsson, Ulf
      Date issued
      2016-04
      Journal
      Environmental Modelling & Software
      Type
      Article
      Language
      en
      Publisher
      Elsevier
      Links
      http://www.sciencedirect.com/science/article/pii/S1364815215301274
      Embargo
      2017-04
      Reason for embargo
      Publisher policy
      Abstract
      This paper aims at developing a benchmark simulation model to evaluate control strategies for the urban catchment and sewer network. Various modules describing wastewater generation in the catchment, its subsequent transport and storage in the sewer system are presented. Global/local overflow based evaluation criteria describing the cumulative and acute effects are presented. Simulation results show that the proposed set of models is capable of generating daily, weekly and seasonal variations as well as describing the effect of rain events on wastewater characteristics. Two sets of case studies explaining possible applications of the proposed model for evaluation of: 1) Control strategies; and, 2) System modifications, are provided. The proposed framework is specifically designed to allow for easy development and comparison of multiple control possibilities and integration with existing/standard wastewater treatment models (Activated Sludge Models) to finally promote integrated assessment of urban wastewater systems.
      Description
      Author's post-print subject to a Creative Commons Attribution Non-Commercial No Derivatives License
      Article link: http://dx.doi.org/10.1016/j.envsoft.2015.12.013 Copyright © 2015 Elsevier Ltd. All rights reserved.
      Citation
      Vol. 78, pp. 16 - 30
      DOI
      https://doi.org/10.1016/j.envsoft.2015.12.013
      URI
      http://hdl.handle.net/10871/19210
      EISSN
      1873-6726
      ISSN
      1364-8152
      Collections
      • Engineering

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