Article (Scientific journals)
A data-driven methodology to support pump performance analysis and energy effiency optimization in wastewater treatment plants
Torregrossa, Dario; Hansen, Joachim; Hernandez-Sancho, Francesc et al.
2017In Applied Energy, 208, p. 1430-1440
Peer reviewed
 

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Keywords :
Wastewater; Energy efficiency; pumps
Abstract :
[en] Studies and publications from the past ten years demonstrate that generally the energy efficiency of Waste Water Treatment Plants (WWTPs) is unsatisfactory. In this domain, efficient pump energy management can generate economic and environmental benefits. Although the availability of on-line sensors can provide high-frequency information about pump systems, at best, energy assessment is carried out a few times a year using aggregated data. Consequently, pump inefficiencies are normally detected late and the comprehension of pump system dynamics is often not satisfactory. In this paper, a data-driven methodology to support the daily energy decision-making is presented. This innovative approach, based on fuzzy logic, supports plant managers with detailed information about pump performance, and provides case-based suggestions to reduce the pump system energy consumption and extend pump life spans. A case study, performed on a WWTP in Germany, shows that it is possible to identify energy inefficiencies and case-based solutions to reduce the pump energy consumption by 18.5%.
Disciplines :
Energy
Author, co-author :
Torregrossa, Dario
Hansen, Joachim ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Hernandez-Sancho, Francesc
Cornelissen, Alex
Schutz, Georges
Leopold, Ulrich
External co-authors :
yes
Language :
English
Title :
A data-driven methodology to support pump performance analysis and energy effiency optimization in wastewater treatment plants
Publication date :
September 2017
Journal title :
Applied Energy
ISSN :
0306-2619
Publisher :
Elsevier Science
Volume :
208
Pages :
1430-1440
Peer reviewed :
Peer reviewed
Focus Area :
Sustainable Development
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since 13 November 2018

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