Reference : A decision support system for energy saving in Waste Water Treatment Plants
Dissertations and theses : Doctoral thesis
Engineering, computing & technology : Civil engineering
Sustainable Development
http://hdl.handle.net/10993/36134
A decision support system for energy saving in Waste Water Treatment Plants
English
Torregrossa, Dario mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
9-Jul-2018
University of Luxembourg, ​Luxembourg City, ​​Luxembourg
DOCTEUR DE L'UNIVERSITE DU LUXEMBOURG EN SCIENCE DE L'INGENIEUR
211
Hansen, Joachim mailto
Voos, Holger mailto
Hernandez-Sancho, Francesc mailto
Schutz, Georges mailto
Kolish, Gerd mailto
[en] Wastewater treatment plants ; energy efficiency ; decision support system
[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.
Luxembourg Institute of Science & Technology - LIST
Fonds National de la Recherche - FnR
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/36134
10.13140/RG.2.2.27732.30084
Author' permanent email: dariotorregrossa@gmail.com

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