Reference : A decision support system for energy saving in Waste Water Treatment Plants

	Document type :	Dissertations and theses : Doctoral thesis
	Discipline(s) :	Engineering, computing & technology : Civil engineering
	Focus Areas :	Sustainable Development
	To cite this reference:	http://hdl.handle.net/10993/36134

Title :	A decision support system for energy saving in Waste Water Treatment Plants
Language :	English
Author, co-author :	Torregrossa, Dario [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Publication date :	9-Jul-2018
Institution :	University of Luxembourg, ​Luxembourg City, ​​Luxembourg
Name of the degree :	DOCTEUR DE L'UNIVERSITE DU LUXEMBOURG EN SCIENCE DE L'INGENIEUR
Number of pages :	211
Supervisor :	Hansen, Joachim
President of the jury :	Voos, Holger
Member of the jury :	Hernandez-Sancho, Francesc
	Schutz, Georges
	Kolish, Gerd
Keywords :	[en] Wastewater treatment plants ; energy efficiency ; decision support system
Abstract :	[en] Waste Water Treatment Plants (WWTPs) are complex facilities, in which an efficient energy management can produce relevant benefits for the environment and the economy. Today, big data can be used for a more efficient plant management, enabling high-frequency assessment and ultimately a more efficient use of resources. In order to achieve this, a computer-based support is necessary to analyse the enormous amount of data that WWTP sensors can produce. When this PhD project started, the literature review showed that, in the WWTP domain, the few available decision support systems (DSSs) were promising but still with large room for improvements; in fact, these tools were plant-specific, focussed mainly on process parameters and (most of them) working with low-frequency aggregated data (yearly data). This thesis instead proposes a cooperative decision support system called Shared Knowledge Decision Support System (SK-DSS). SK-DSS is plant generic, i.e. able to simultaneously work with many WWTPs and based on key performance indicators. SK-DSS analyses the processes occurring in the plants and provide case-based solutions. Moreover, this DSS provides a platform to enable the plant managers to exchange information and cooperate. This thesis proposes the model of SK-DSS, a web-application, and applications to improve the energy performance of pump, blowers and biogas.
Research centres :	Luxembourg Institute of Science & Technology - LIST
Funders :	Fonds National de la Recherche - FnR
Name of the research project :	EdWARDS - Energy optimisation of WAstewateR treatment plants through KPI analysis and Decision Support Systems
Target :	Researchers ; Professionals ; Students ; General public
Permalink :	http://hdl.handle.net/10993/36134
DOI :	10.13140/RG.2.2.27732.30084
Commentary :	Author' permanent email: dariotorregrossa@gmail.com

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