TU Darmstadt / ULB / TUbiblio

Optimization of integrated urban wastewater systems using multi-objective evolution strategies

Muschalla, Dirk :
Optimization of integrated urban wastewater systems using multi-objective evolution strategies.
[Online-Edition: http://www.informaworld.com/smpp/title content=t713734575]
In: Urban Water Journal, 5 (1) 57�65.
[Artikel], (2008)

Offizielle URL: http://www.informaworld.com/smpp/title content=t713734575

Kurzbeschreibung (Abstract)

This paper deals with the development of a new multi-objective evolution strategy in combination with an integrated pollution-load and water-quality model to optimize the performance of an urban wastewater system. The optimization algorithm combines the advantages of the Non-Dominated Sorting Genetic Algorithm and Self-Adaptive Evolution Strategies and contains further development improving convergence and diversity. The identification of a good spread of solutions on the Pareto-optimum front and the optimization of a large number of decision variables equally demands numerous simulation runs. In addition, evaluation of criteria with regard to the frequency of critical concentrations in the river and peak discharges to the receiving water requires continuous long-term simulations. Therefore, a fast operating integrated simulation model is needed providing the required precision of results. For this purpose, a hydrological deterministic pollution-load model has been coupled with a river water-quality and a rainfall-runoff model. Wastewater treatment plants (WWTP) are simulated in a simplified way. The integrated simulation model and the multi-objective optimization algorithm were implemented in a modular common software shell. The functionality of the optimization and simulation tool has been validated by analyzing a real catchment area including sewer system, WWTP, water body and natural river basin. For the optimization/rehabilitation of the urban drainage system, both innovative and approved measures have been examined and used as decision variables. As objective functions, investment costs and river water quality criteria have been used.

Typ des Eintrags: Artikel
Erschienen: 2008
Autor(en): Muschalla, Dirk
Titel: Optimization of integrated urban wastewater systems using multi-objective evolution strategies
Sprache: Englisch
Kurzbeschreibung (Abstract):

This paper deals with the development of a new multi-objective evolution strategy in combination with an integrated pollution-load and water-quality model to optimize the performance of an urban wastewater system. The optimization algorithm combines the advantages of the Non-Dominated Sorting Genetic Algorithm and Self-Adaptive Evolution Strategies and contains further development improving convergence and diversity. The identification of a good spread of solutions on the Pareto-optimum front and the optimization of a large number of decision variables equally demands numerous simulation runs. In addition, evaluation of criteria with regard to the frequency of critical concentrations in the river and peak discharges to the receiving water requires continuous long-term simulations. Therefore, a fast operating integrated simulation model is needed providing the required precision of results. For this purpose, a hydrological deterministic pollution-load model has been coupled with a river water-quality and a rainfall-runoff model. Wastewater treatment plants (WWTP) are simulated in a simplified way. The integrated simulation model and the multi-objective optimization algorithm were implemented in a modular common software shell. The functionality of the optimization and simulation tool has been validated by analyzing a real catchment area including sewer system, WWTP, water body and natural river basin. For the optimization/rehabilitation of the urban drainage system, both innovative and approved measures have been examined and used as decision variables. As objective functions, investment costs and river water quality criteria have been used.

Titel der Zeitschrift, Zeitung oder Schriftenreihe: Urban Water Journal
Band: 5
(Heft-)Nummer: 1
Fachbereich(e)/-gebiet(e): Fachbereich Bau- und Umweltingenieurwissenschaften, Civil and Environmental Engineering > Institut Wasserbau und Wasserwirtschaft
Fachbereich Bau- und Umweltingenieurwissenschaften, Civil and Environmental Engineering
Fachbereich Bau- und Umweltingenieurwissenschaften, Civil and Environmental Engineering > Institut Wasserbau und Wasserwirtschaft > FG Ingenieurhydrologie und Wasserbewirtschaftung
Hinterlegungsdatum: 19 Jan 2009 16:38
Offizielle URL: http://www.informaworld.com/smpp/title content=t713734575
Export:

Optionen (nur für Redakteure)

Eintrag anzeigen Eintrag anzeigen