Monitoring and diagnosis of energy consumption in wastewater treatment plants. A state of the art and proposals for improvement

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Enxeñaría Químicagl
dc.contributor.affiliationUniversidade de Santiago de Compostela. Instituto de Investigacións Tecnolóxicasgl
dc.contributor.areaÁrea de Enxeñaría e Arquitectura
dc.contributor.authorLongo, Stefano
dc.contributor.authorD'Antoni, Benedetto Mirko
dc.contributor.authorBongards, Michael
dc.contributor.authorChaparro, Antonio
dc.contributor.authorCronrath, Andreas
dc.contributor.authorFatone, Francesco
dc.contributor.authorLema Rodicio, Juan Manuel
dc.contributor.authorMauricio Iglesias, Miguel
dc.contributor.authorSoares, Ana
dc.contributor.authorHospido Quintana, Almudena
dc.date.accessioned2016-12-20T07:26:15Z
dc.date.available2018-08-09T01:00:08Z
dc.date.issued2016
dc.description.abstractIn response to strong growth in energy intensive wastewater treatment, public agencies and industry began to explore and implement measures to ensure achievement of the targets indicated in the 2020 Climate and Energy Package. However, in the absence of fundamental and globally recognized approach evaluating wastewater treatment plant (WWTP) energy performance, these policies could be economically wasteful. This paper gives an overview of the literature of WWTP energy-use performance and of the state of the art methods for energy benchmarking. The literature review revealed three main benchmarking approaches: normalization, statistical techniques and programming techniques, and advantages and disadvantages were identified for each one. While these methods can be used for comparison, the diagnosis of the energy performance remains an unsolved issue. Besides, a large dataset of WWTP energy consumption data, together with the methods for synthesizing the information, are presented and discussed. It was found that no single key performance indicators (KPIs) used to characterize the energy performance could be used universally. The assessment of a large data sample provided some evidence about the effect of the plant size, dilution factor and flowrate. The technology choice, plant layout and country of location were seen as important elements that contributed to the large variability observedgl
dc.description.peerreviewedSIgl
dc.description.sponsorshipThis project is carried out with financial support from the H2020 Coordinated Support Action ENERWATER (grant agreement number 649819): www.enerwater.eu. Although the project's information is considered accurate, no responsibility will be accepted for any subsequent use thereof. The European Community accepts no responsibility or liability whatsoever with regard to the presented material, and the work hereby presented does not anticipate the Commission's future policy in this area. M.M.I. gratefully acknowledges the financial support provided by the People Program (Marie Curie Actions) of the European Union's Seventh Framework Programme FP7/2007-2013 under REA agreement 627475 (GREENCOST). S.L, J.M.L, M.M.I. and A.H. belong to the Galician Competitive Research Group GRC 2013-032, programme co-funded by FEDER, and to the strategic aggregation CRETUS (Centre for Research in Environmental Technologies), AGRUP2015/02gl
dc.identifier.citationLongo,S., d’Antoni, B.M., Bongards, M., Chaparro, A., Cronrath, A., Fatone, F., Lema, J.M., Mauricio-Iglesias, M., Soares, A., Hospido, A. (2016). Monitoring and diagnosis of energy consumption in wastewater treatment plants. A state of the art and proposals for improvement. "Applied Energy" , vol. 179, 1251–1268gl
dc.identifier.doi10.1016/j.apenergy.2016.07.043
dc.identifier.issn0306-2619
dc.identifier.urihttp://hdl.handle.net/10347/15033
dc.language.isoenggl
dc.publisherElseviergl
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/649819
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/627475
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.apenergy.2016.07.043gl
dc.rightsCopyright © 2016. Published by Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/gl
dc.rights.accessRightsopen accessgl
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectEnergy Efficiencygl
dc.subjectBenchmarkinggl
dc.subjectKey Performance Indicatorgl
dc.subjectOrdinary Least Squaresgl
dc.subjectData Envelopment Analysisgl
dc.subjectWastewater Treatmentgl
dc.titleMonitoring and diagnosis of energy consumption in wastewater treatment plants. A state of the art and proposals for improvementgl
dc.typejournal articlegl
dc.type.hasVersionAMgl
dspace.entity.typePublication
relation.isAuthorOfPublication9fbac3ef-9f34-48d3-ad2a-afc25f286f08
relation.isAuthorOfPublicationb098e7de-f49e-4335-9f8d-d70a445f4a69
relation.isAuthorOfPublicationaed0594c-80de-417c-88d2-524c1fe5ee5c
relation.isAuthorOfPublication.latestForDiscovery9fbac3ef-9f34-48d3-ad2a-afc25f286f08

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