Literature DB >> 21549411

Energy efficiency in Spanish wastewater treatment plants: a non-radial DEA approach.

F Hernández-Sancho1, M Molinos-Senante, R Sala-Garrido.   

Abstract

Wastewater treatment plants (WWTPs) are energy-intensive facilities. Thus, reducing their carbon footprint is particularly important, both economically and environmentally. Knowing the real operating energy efficiency of WWTPs is the starting point for any energy-saving initiative. In this article, we applied a non-radial Data Envelopment Analysis (DEA) methodology to calculate energy efficiency indices for sampling of WWTPs located in Spain. In a second stage analysis, we examined the operating variables contributing to differences in energy efficiency among plants. It is verified that energy efficiencies of the analyzed WWTPs were quite low, with only 10% of them being efficient. We found that plant size, quantity of organic matter removed, and type of bioreactor aeration were significant variables in explaining energy efficiency differences. In contrast, age of the plant was not a determining factor in energy consumption. Lastly, we quantified the potential savings, both in economic terms and in terms of CO(2) emissions, that could be expected from an improvement in energy efficiency of WWTPs.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21549411     DOI: 10.1016/j.scitotenv.2011.04.018

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  A modified dynamic DEA model to assess the wastewater treatment efficiency: perspective from Yangtze River and Non-Yangtze River Basin.

Authors:  Fangrong Ren; Yanan Sun; Jiawei Liu; Kejing Chen; Naixin Shi
Journal:  Sci Rep       Date:  2022-06-15       Impact factor: 4.996

2.  Spatial Patterns of Urban Wastewater Discharge and Treatment Plants Efficiency in China.

Authors:  Min An; Weijun He; Dagmawi Mulugeta Degefu; Zaiyi Liao; Zhaofang Zhang; Liang Yuan
Journal:  Int J Environ Res Public Health       Date:  2018-08-31       Impact factor: 3.390

  2 in total

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