Designing a robust index for WWTP energy efficiency: the ENERWATER Water Treatment Energy Index
Loading...
Identifiers
Publication date
Advisors
Tutors
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
The development and use of composite indexes has exploded in the last 15 years as a tool to summarise the large amount of information available nowadays. To ensure that composite indicators reflect faithfully the purpose of evaluation and are widely accepted and used, the users must understand the relationship between individual sub-indicators and the result (transparency) and the evaluation should not depend on weights, lack of information, etc. (robustness). It is proposed here for the first time a composite index to measure energy efficiency in a wastewater treatment plant, from the definition of the individual sub-indicators to the assignation of an energy label, easy to communicate to a broad public. Using as a demonstration real data from 44 wastewater treatment plants, the index robustness is tested and improved by uncertainty and sensitivity analysis results, finally achieving a robust algorithm which can be used by the large majority of wastewater treatment plants
Description
Bibliographic citation
Mauricio-Iglesias, M., Longo, S., & Hospido, A. (2020). Designing a robust index for WWTP energy efficiency: The ENERWATER water treatment energy index. Science Of The Total Environment, 713, 136642. doi: 10.1016/j.scitotenv.2020.136642
Relation
Has part
Has version
Is based on
Is part of
Is referenced by
Is version of
Requires
Publisher version
https://doi.org/10.1016/j.scitotenv.2020.136642Sponsors
This work has been financially supported by ‘ENERWATER’ Coordination Support Action (www.enerwater.eu), as part of European Union's Horizon 2020 research and innovation programme under grant agreement No 649819. Authors belong to the Galician Competitive Research Group ED431C2017/029 and to the CRETUS Strategic Partnership (ED431E 2018/01), both programmes co-funded by FEDER (EU)
Rights
© 2020 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0 license (http://creativecommons.org/licenses/by-nc-nd/4.0/)








