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dc.contributor.author | Maziotis, Alexandros | |
dc.contributor.author | Sala Garrido, Ramón | |
dc.contributor.author | Mocholi Arce, Manuel | |
dc.contributor.author | Molinos Senante, María | |
dc.date.accessioned | 2023-05-04T12:10:57Z | |
dc.date.available | 2023-05-04T12:10:57Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Science of The Total Environment, 2023, vol. 885, 163539 | es |
dc.identifier.issn | 0048-9697 | es |
dc.identifier.uri | https://uvadoc.uva.es/handle/10324/59486 | |
dc.description | Producción Científica | es |
dc.description.abstract | Wastewater treatment plants (WWTPs) are energy intensive facilities. Controlling energy use in WWTPs could bring substantial benefits to people and environment. Understanding how energy efficient the wastewater treatment process is and what drives efficiency would allow treating wastewater in a more sustainable way. In this study, we employed the efficiency analysis trees approach, that combines machine learning and linear programming techniques, to estimate energy efficiency of wastewater treatment process. The findings indicated that considerable energy inefficiency among WWTPs in Chile existed. The mean energy efficiency was 0.287 suggesting that energy use should cut reduce by 71.3 % to treat the same volume of wastewater. This was equivalent to a reduction in energy use by 0.40 kWh/m3 on average. Moreover, only 4 out of 203 assessed WWTPs (1.97 %) were identified as energy efficient. It was also found that the age of treatment plant and type of secondary technology played an important role in explaining energy efficiency variations among WWTPs. | es |
dc.format.mimetype | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Aguas residuales Depuración | es |
dc.subject | Medio ambiente Estudios de impacto | es |
dc.subject | Eficiencia energética | es |
dc.subject.classification | Energy efficiency | es |
dc.subject.classification | Energy savings | es |
dc.subject.classification | Regression trees | es |
dc.subject.classification | Wastewater treatment plants | es |
dc.subject.classification | Eficiencia energética | es |
dc.subject.classification | Ahorro energético | es |
dc.subject.classification | Árboles de regresión | es |
dc.subject.classification | Plantas depuradoras de aguas residuales | es |
dc.title | A comprehensive assessment of energy efficiency of wastewater treatment plants: An efficiency analysis tree approach | es |
dc.type | info:eu-repo/semantics/article | es |
dc.rights.holder | © 2023 The Authors | es |
dc.identifier.doi | 10.1016/j.scitotenv.2023.163539 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0048969723021587?via%3Dihub | es |
dc.identifier.publicationfirstpage | 163539 | es |
dc.identifier.publicationtitle | Science of The Total Environment | es |
dc.peerreviewed | SI | es |
dc.description.project | Junta de Castilla y León - UE-FEDER (CLU 2017-09, CL-EI-2021-07) | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es |
dc.subject.unesco | 3308 Ingeniería y Tecnología del Medio Ambiente | es |
dc.subject.unesco | 3305.15 Ingeniería Hidráulica | es |
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