Carbon efficiency analysis in the provision of drinking water: Estimation of optimal greenhouse gas emissions

Producción Científica

Detalles Bibliográficos
Autores: Maziotis, Alexandros, Sala Garrido, Ramón, Mocholí Arce, Manuel, Molinos Senante, María
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Universidad de Valladolid
Repositorio:UVaDOC. Repositorio Documental de la Universidad de Valladolid
OAI Identifier:oai:uvadoc.uva.es:10324/58522
Acceso en línea:https://doi.org/10.1016/j.jclepro.2023.136304
https://uvadoc.uva.es/handle/10324/58522
Access Level:acceso abierto
Palabra clave:Carbon
Water services
Efficiency analysis trees (EAT)
Environmental variables
Greenhouse gas emissions
3308 Ingeniería y Tecnología del Medio Ambiente
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spelling Carbon efficiency analysis in the provision of drinking water: Estimation of optimal greenhouse gas emissionsMaziotis, AlexandrosSala Garrido, RamónMocholí Arce, ManuelMolinos Senante, MaríaCarbonWater servicesEfficiency analysis trees (EAT)Environmental variablesGreenhouse gas emissions3308 Ingeniería y Tecnología del Medio AmbienteProducción CientíficaAssessing carbon efficiency (CE) in the provision of drinking water services is essential to achieve a net-zero greenhouse gas (GHG) urban water cycle. Previous studies evaluating the CE of water companies are very scarce and employed parametric and non-parametric. Both methodological approaches present limitations such as overfitting issues or require assumptions about the production technology which could lead to less reliable efficiency scores. To overcome these limitations, in this study, and for the first time, we estimated CE of English and Welsh water companies using the Efficiency Analysis Trees (EAT) approach. This technique brings together machine learning and non-linear programming techniques to estimate production frontier and efficiency scores. It also allowed us to quantify the optimal level of GHG emissions in the provision of water services and estimate potential GHG savings. Bootstrap truncated regression methods were employed to quantify the impact of operating characteristics on CE of water companies. The optimal level of GHG emissions was estimated to be between 0.062 and 133.03 tons of CO2 equivalent (CO2eq) per year and per connected property. The average CE was at the level of 0.632. This means that GHG emissions could reduce by 36.8% to maintain the same level of water services. Equivalently, this corresponds to a reduction of 488,321 tons of CO2eq per year. Water only companies exhibited a better performance than water and sewerage companies with an average CE of 0.785 and 0.540, respectively. The performance of the English and Welsh water companies decreased over time. In 2011 the average CE was 0.772 whereas it went down to 0.534 in 2020. It was also estimated that on average water companies could reduce 0.034 tons of CO2eq per cubic meter of drinking water supplied and 16.16 tons of CO2eq/ connected property per year. The regression results showed that topography and water treatment complexity had a significant impact on CE. The conclusions of this study are relevant for policy makers to define policies toward a low-carbon urban water cycle.Elsevier2023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.1016/j.jclepro.2023.136304https://uvadoc.uva.es/handle/10324/58522reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolidinstname:Universidad de ValladolidIngléshttps://www.sciencedirect.com/science/article/pii/S0959652623004626info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/oai:uvadoc.uva.es:10324/585222026-06-13T12:44:47Z
dc.title.none.fl_str_mv Carbon efficiency analysis in the provision of drinking water: Estimation of optimal greenhouse gas emissions
title Carbon efficiency analysis in the provision of drinking water: Estimation of optimal greenhouse gas emissions
spellingShingle Carbon efficiency analysis in the provision of drinking water: Estimation of optimal greenhouse gas emissions
Maziotis, Alexandros
Carbon
Water services
Efficiency analysis trees (EAT)
Environmental variables
Greenhouse gas emissions
3308 Ingeniería y Tecnología del Medio Ambiente
title_short Carbon efficiency analysis in the provision of drinking water: Estimation of optimal greenhouse gas emissions
title_full Carbon efficiency analysis in the provision of drinking water: Estimation of optimal greenhouse gas emissions
title_fullStr Carbon efficiency analysis in the provision of drinking water: Estimation of optimal greenhouse gas emissions
title_full_unstemmed Carbon efficiency analysis in the provision of drinking water: Estimation of optimal greenhouse gas emissions
title_sort Carbon efficiency analysis in the provision of drinking water: Estimation of optimal greenhouse gas emissions
dc.creator.none.fl_str_mv Maziotis, Alexandros
Sala Garrido, Ramón
Mocholí Arce, Manuel
Molinos Senante, María
author Maziotis, Alexandros
author_facet Maziotis, Alexandros
Sala Garrido, Ramón
Mocholí Arce, Manuel
Molinos Senante, María
author_role author
author2 Sala Garrido, Ramón
Mocholí Arce, Manuel
Molinos Senante, María
author2_role author
author
author
dc.subject.none.fl_str_mv Carbon
Water services
Efficiency analysis trees (EAT)
Environmental variables
Greenhouse gas emissions
3308 Ingeniería y Tecnología del Medio Ambiente
topic Carbon
Water services
Efficiency analysis trees (EAT)
Environmental variables
Greenhouse gas emissions
3308 Ingeniería y Tecnología del Medio Ambiente
description Producción Científica
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.jclepro.2023.136304
https://uvadoc.uva.es/handle/10324/58522
url https://doi.org/10.1016/j.jclepro.2023.136304
https://uvadoc.uva.es/handle/10324/58522
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://www.sciencedirect.com/science/article/pii/S0959652623004626
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolid
instname:Universidad de Valladolid
instname_str Universidad de Valladolid
reponame_str UVaDOC. Repositorio Documental de la Universidad de Valladolid
collection UVaDOC. Repositorio Documental de la Universidad de Valladolid
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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