Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

WWTP dynamic disturbance modelling--an essential module for long-term benchmarking development.

K V Gernaey1, C Rosen, U Jeppsson

  • 1Department of Industrial Electrical Engineering and Automation (IEA), Lund University, P.O. Box 118, SE-221 00 Lund, Sweden. krist.gernaey@iea.lth.se

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|May 26, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Strategic framework for sustainable centralisation of wastewater treatment plants: integrating economic and environmental analysis.

Bioresource technology·2026
Same author

Series of Molecularlike Doubly Excited States of a Quasi-Three-Body Coulomb System.

Physical review letters·2025
Same author

An ingestible capsule for luminance-based diagnosis of mesenteric ischemia.

Science robotics·2025
Same author

Modelling the longitudinal dynamics of paranoia in psychosis: A temporal network analysis over 20 years.

Schizophrenia research·2024
Same author

City-wide model-based analysis of heat recovery from wastewater using an uncertainty-based approach.

The Science of the total environment·2022
Same author

Modelling temperature dynamics in sewer systems - comparing mechanistic and conceptual modelling approaches.

Water science and technology : a journal of the International Association on Water Pollution Research·2021
Same journal

Pyrolysis temperature shapes the structure and filtration capacity of spent-coffee-ground biochar for 1-μm microplastics and bacteria removal from wastewater.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
Same journal

Effect of cooling and cover material on the performance of a solar humidification-dehumidification system used for brine concentration.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
Same journal

Comparative multi-criteria assessment of decentralized wastewater treatment technologies for coastal tourist communities and island slaughterhouses: a design framework with uncertainty analysis for Latin America.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
Same journal

An improved relative frequency method for flood season partitioning.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
Same journal

Drivers of wastewater dynamics: a statistical analysis of England's large wastewater treatment works.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
Same journal

A review on modification of piezoelectric materials for wastewater treatment: mechanisms, applications, and future perspectives.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
See all related articles

This study introduces an influent disturbance model to enhance activated sludge simulation models (BSM1_LT/BSM2) for evaluating control strategies. Dynamic influent data reveal that current BSM1 strategies require updates for long-term plant simulations.

Area of Science:

  • Environmental Engineering
  • Wastewater Treatment
  • Process Simulation

Background:

  • The Benchmark Simulation Model No. 1 (BSM1) is widely used for assessing control strategies in biological nitrogen removal activated sludge plants.
  • Limitations in BSM1 necessitate extensions for evaluating advanced monitoring and control methods.
  • Benchmark Simulation Model No. 1 Long-Term (BSM1_LT) and Benchmark Simulation Model No. 2 (BSM2) are proposed extensions.

Purpose of the Study:

  • To present modeling methods for generating influent disturbances for BSM1_LT and BSM2.
  • To illustrate typical influent dynamic phenomena using simulation results.
  • To provide a proposed influent disturbance model for evaluation by benchmark developers.

Main Methods:

  • Development of an influent disturbance model to simulate dynamic phenomena.

Related Experiment Videos

  • Generation of typical influent variations including diurnal, weekend, seasonal, holiday effects, and rainfall.
  • Illustration of simulation results using the developed influent disturbance model.

    • Main Results:

    • A proposed influent model/file has been developed and released for evaluation.
    • Preliminary simulations demonstrate the impact of dynamic influent data on activated sludge plant control.
    • Default BSM1 control strategies require extensions to effectively manage 1-year influent dynamics in BSM1_LT/BSM2.

    Conclusions:

    • The developed influent disturbance model is crucial for advancing the evaluation capabilities of BSM1_LT and BSM2.
    • Effective handling of long-term influent dynamics is essential for robust activated sludge plant control.
    • Further evaluation and refinement of the influent disturbance model are anticipated.