Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/75562
DC FieldValueLanguage
dc.contributor.authorLozano Medina, Alexisen_US
dc.contributor.authorCabrera Santana, Pedro Jesúsen_US
dc.contributor.authorBlanco Marigorta, Ana Maríaen_US
dc.date.accessioned2020-11-16T12:05:52Z-
dc.date.available2020-11-16T12:05:52Z-
dc.date.issued2020en_US
dc.identifier.issn1099-4300en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/75562-
dc.description.abstractTechnological innovations are not enough by themselves to achieve social and environmental sustainability in companies. Sustainable development aims to determine the environmental impact of a product and the hidden price of products and services through the concept of radical transparency. This means that companies should show and disclose the impact on the environment of any good or service. This way, the consumer can choose in a transparent manner, not only for the price. The use of the eco-label as a European eco-label, which bases its criteria on life cycle assessment, could provide an indicator of corporate social responsibility for a given product. However, it does not give a full guarantee that the product was obtained in a sustainable manner. The aim of this work is to provide a way of calculating the value of the environmental impacts of an industrial product, under different operating conditions, so that each company can provide detailed information on the impacts of its products, information that can form part of its "green product sheet". As a case study, the daily production of a newspaper, printed by coldset, has been chosen. Each process involved in production was configured with raw material and energy consumption information from production plants, manufacturer data and existing databases. Four non-linear regression models have been trained to estimate the impact of a newspaper's circulation from five input variables (pages, grammage, height, paper type, and print run) with 5508 data samples each. These non-linear regression models were trained using the Levenberg-Marquardt nonlinear least squares algorithm. The mean absolute percentage errors (MAPE) obtained by all the non-linear regression models tested were less than 5%. Through the proposed correlations, it is possible to obtain a score that reports on the impact of the product for different operating conditions and several types of raw materials. Ecolabelling can be further developed by incorporating a scoring system for the impact caused by the product or process, using a standardised impact methodology.en_US
dc.languageengen_US
dc.relationINTERREG MAC 2014-2020 programme, ENERMAC project (MAC2/1.1a/117)en_US
dc.relation.ispartofEntropyen_US
dc.sourceEntropy [EISSN 1099-4300], v. 22 (5), 590, (Mayo 2020)en_US
dc.subject3308 Ingeniería y tecnología del medio ambienteen_US
dc.subject.otherCorrelationen_US
dc.subject.otherEcolabelingen_US
dc.subject.otherLife Cycle Assessmenten_US
dc.subject.otherNon-Linear Regression Modelsen_US
dc.titleNon-linear regression modelling to estimate the global warming potential of a newspaperen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/E22050590en_US
dc.identifier.scopus85086661986-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid0000-0001-9707-6375-
dc.contributor.orcid#NODATA#-
dc.contributor.authorscopusid57217179087-
dc.contributor.authorscopusid56331565000-
dc.contributor.authorscopusid25652860100-
dc.identifier.eissn1099-4300-
dc.identifier.issue5-
dc.relation.volume22en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
local.message.claim2021-09-25T02:53:01.718+0100|||rp00649|||submit_approve|||dc_contributor_author|||EL nombre que aparece "Cabrera Navarro, Pedro" es incorrecto. Debería aparecer mi nombre: Cabrera Santana, Pedro Jesús, tal y como pueden comprobar en: https://www.mdpi.com/1099-4300/22/5/590/htm-
dc.utils.revisionen_US
dc.date.coverdateMayo 2020en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INGen_US
dc.description.sjr0,468-
dc.description.jcr2,524-
dc.description.sjrqQ2-
dc.description.jcrqQ2-
dc.description.scieSCIE-
item.grantfulltextrestricted-
item.fulltextCon texto completo-
crisitem.author.deptGIR Group for the Research on Renewable Energy Systems-
crisitem.author.deptDepartamento de Ingeniería Civil-
crisitem.author.deptGIR Group for the Research on Renewable Energy Systems-
crisitem.author.deptDepartamento de Ingeniería Mecánica-
crisitem.author.deptGIR Group for the Research on Renewable Energy Systems-
crisitem.author.deptDepartamento de Ingeniería de Procesos-
crisitem.author.orcid0000-0001-8478-3011-
crisitem.author.orcid0000-0001-9707-6375-
crisitem.author.orcid0000-0003-4635-7235-
crisitem.author.parentorgDepartamento de Ingeniería Mecánica-
crisitem.author.parentorgDepartamento de Ingeniería Mecánica-
crisitem.author.parentorgDepartamento de Ingeniería Mecánica-
crisitem.author.fullNameLozano Medina, Alexis-
crisitem.author.fullNameCabrera Santana, Pedro Jesús-
crisitem.author.fullNameBlanco Marigorta, Ana María-
Appears in Collections:Artículos
Unknown (4,05 MB)
Show simple item record

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.