| dc.contributor.author | Molinos Senante, María | |
| dc.contributor.author | Maziotis, Alexandros | |
| dc.contributor.author | Sala Garrido, Ramón | |
| dc.contributor.author | Mocholí Arce, Manuel | |
| dc.date.accessioned | 2025-10-15T10:16:52Z | |
| dc.date.available | 2025-10-15T10:16:52Z | |
| dc.date.issued | 2025 | |
| dc.identifier.citation | Computers & Industrial Engineering, 2025, vol. 209, p. 111457 | es |
| dc.identifier.issn | 0360-8352 | es |
| dc.identifier.uri | https://uvadoc.uva.es/handle/10324/78653 | |
| dc.description | Producción Científica | es |
| dc.description.abstract | Production and distribution of drinking water is an energy intensive process. Understanding the energy efficiency
of drinking water services and what drives efficiency could improve sustainability of water cycle. In this study,
we use the Efficiency Analysis Trees (EAT) method to benchmark the energy efficiency of several water utilities
in England and Wales based on their energy consumption. Unlike traditional parametric and non-parametric
methods previously used to assess the performance of water utilities, EAT does not suffer from overfitting. We
further employ bootstrap truncated regression techniques to understand what drives energy performance. The
results showed that the average energy efficiency of the English and Welsh water industry during the 2011–2020
period was 0.767. This means that energy consumption could be reduced by 23.3% while delivering the same
level of water to customers. Equivalently, on average water utilities could potentially save 63,479 MWh per year.
Water treatment complexity, source of raw water and population density were factors that influenced energy
efficiency of drinking water supply processes. Conclusions of this study are useful to water regulators and water
companies for informed decisions towards a low-carbon urban water cycle. | 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.classification | Energy efficiency | es |
| dc.subject.classification | Regression trees | es |
| dc.subject.classification | Free disposal hull | es |
| dc.subject.classification | Data envelopment analysis | es |
| dc.subject.classification | Environmental variables | es |
| dc.subject.classification | Drinking water service | es |
| dc.title | Benchmarking energy efficiency in water utilities: Evidence from England and Wales | es |
| dc.type | info:eu-repo/semantics/article | es |
| dc.rights.holder | © 2025 The Author(s) | es |
| dc.identifier.doi | 10.1016/j.cie.2025.111457 | es |
| dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0360835225006035 | es |
| dc.identifier.publicationfirstpage | 111457 | es |
| dc.identifier.publicationtitle | Computers & Industrial Engineering | es |
| dc.identifier.publicationvolume | 209 | es |
| dc.peerreviewed | SI | es |
| dc.description.project | Junta de Castilla y León (CL-EI-2021–07) | es |
| dc.description.project | Ministerio de Ciencia e Innovación (TED-130807A-100/ AEI/https://doi.org/10.13039/501100011033/ Unión Europea NextGenerationEU/PRTR) | es |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
| dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es |
| dc.subject.unesco | 2508.11 Calidad de las Aguas | es |