Modeling of Electric Energy Consumption during Dairy Wastewater Treatment Plant Operation

Radosław Żyłka , Wojciech Dąbrowski , Paweł Malinowski , Beata Karolinczak


The intensification of biological wastewater treatment requires the high usage of electric energy, mainly for aeration processes. Publications on energy consumption have been mostly related to municipal wastewater treatment plants (WWTPs). The aim of the research was to elaborate on models for the estimation of energy consumption during dairy WWTP operation. These models can be used for the optimization of electric energy consumption. The research was conducted in a dairy WWTP, operating with dissolved air flotation (DAF) and an activated sludge system. Energy consumption was measured with the help of three-phase network parameter transducers and a supervisory control and data acquisition (SCADA) system. The obtained models provided accurate predictions of DAF, biological treatment, and the overall WWTP energy consumption using chemical oxygen demand (COD), sewage flow, and air temperature. Using the energy consumption of the biological treatment as an independent variable, as well as air temperature, it is possible to estimate the variability of the total electric energy consumption. During the summer period, an increase in the organic load (expressed as COD) discharged into the biological treatment causes higher electric energy consumption in the whole dairy WWTP. Hence, it is recommended to increase the efficiency of the removal of organic pollutants in the DAF process. An application for the estimation of energy consumption was created.
Author Radosław Żyłka
Radosław Żyłka,,
, Wojciech Dąbrowski
Wojciech Dąbrowski,,
, Paweł Malinowski
Paweł Malinowski,,
, Beata Karolinczak (FEE / DWSWT)
Beata Karolinczak,,
- Department of Water Supply and Wastewater Treatment
Journal seriesEnergies, [ENERGIES], ISSN 1996-1073
Issue year2020
Publication size in sheets0.6
Article number3769
Keywords in Englishdairy wastewater treatment plant; electric energy consumption; modeling; DAF process; activated sludge system
ASJC Classification1700 General Computer Science
Languageen angielski
LicenseJournal (articles only); author's original; Uznanie Autorstwa (CC-BY); after publication
energies-13-03769-v2.pdf 2.46 MB
Score (nominal)140
Score sourcejournalList
ScoreMinisterial score = 140.0, 15-09-2020, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2018 = 1.156; WoS Impact Factor: 2018 = 2.707 (2) - 2018=2.99 (5)
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