Daly, Eoin, Fitzsimons, Lorna ORCID: 0000-0002-8783-3755 and Corcoran, Brian (2018) Impact of rainfall events on the electricity consumption of two wastewater treatment plants. In: 13th Conference on Sustainable Development of Energy, Water and Environment Systems – SDEWES2018, 30 Sep - 4 Oct 2018, Palermo, Italy.
Abstract
Focus on the Energy/Water Nexus has led to interest and increased research activity into the relationship between water and society and understanding the energy requirement of Wastewater Treatment Plants (WWTPs) will be a key part of future development. Using wastewater treatment plant data the aim of this paper is to study the relationship between the energy requirements for Wastewater Treatment (WWT), with particular focus on the impact of Wet Weather Flows (WWFs). It has been established from the literature that the efficiency of treatment plant processes drops during these events and, should treatment works be subject to increased energy requirements during WWFs, this will have an impact on any benchmarking effort. Using linear regression, a potential link between increased flows to treatment and electricity consumption of one WWTP in Northern Ireland has been shown, while a second possible link is established between the catchment area rainfall and increased flows to treatment for two WWTPs, which was found to be consistent with previous work in the literature.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
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Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | Wastewater Treatment; Energy/Water Nexus;Water;Electricity; Collection System |
Subjects: | Engineering > Environmental engineering Engineering > Mechanical engineering |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Mechanical and Manufacturing Engineering Research Institutes and Centres > Water Institute |
Copyright Information: | © 2018 The Authors |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | Science Foundation Ireland (SFI) under the SFI Strategic Partnership Programme Grant Number SFI/15/SPP/E3125, ALICE Project, a European Union Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 734560 |
ID Code: | 25923 |
Deposited On: | 31 May 2021 09:34 by Lorna Fitzsimons . Last Modified 05 Nov 2021 17:20 |
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