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    Monetizing environmental footprints: index development and application to a solar-powered chemicals self-supplied desalination plant

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    MonetizingEnvironmen ... (1.149Mb)
    Identificadores
    URI: http://hdl.handle.net/10902/15697
    DOI: 10.1021/acssuschemeng.8b03161
    ISSN: 2168-0485
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    Autoría
    Herrero González, MartaAutoridad Unican; Wolfson, Adi; Domínguez Ramos, AntonioAutoridad Unican; Ibáñez Mendizábal, RaquelAutoridad Unican; Irabien Gulías, ÁngelAutoridad Unican
    Fecha
    2018-11-05
    Derechos
    © ACS. This document is the Accepted Manuscript version of a Published Work that appeared in final form in ACS Sustainable Chemistry and Engineering, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://pubs.acs.org/articlesonrequest/AOR-wKjXgnmgTcxQCkZwCP7u
    Publicado en
    ACS Sustainable Chemistry and Engineering, 2018, 6(11), 14533-14541
    Editorial
    American Chemical Society
    Enlace a la publicación
    https://doi.org/10.1021/acssuschemeng.8b03161
    Palabras clave
    Brines
    Carbon footprint (CF)
    Desalination
    Electrodialysis with bipolar membranes (EDBM)
    Land footprint (LF)
    Monetized footprint index (MFI)
    Seawater reverse osmosis (SWRO)
    Water footprint (WF)
    Resumen/Abstract
    The assessment of the environmental greenness in the process industry has been quantified by means of the development of an integrated index, i.e., Monetized Footprint Index (MFI), based on the compilation and the integration of land, water and carbon footprint indicators. The MFI has been applied to assess the case study of a seawater reverse osmosis desalination with an integrated electrodialysis with bipolar membranes brine treatment. The MFI enables the evaluation of environmental burdens related to the chosen functional unit based on a weighting procedure, which integers land, water, and CO2 prices. It is neither a tool for the calculation of the production cost nor a sustainability analysis tool as it does not include social or economic indicators. Comparison between selected scenarios, based on the different sources of the requested electricity, grid mix (Spain and Israel, as examples), and photovoltaic solar energy (under a fixed solar irradiation), has been carried out. Maximum values of 0.30 €·m–3 and minimum values of 0.11 €·m–3 for the different scenarios have been obtained in the calculation of the MFI. Moreover, uncertainties in land, water and CO2 prices have been analyzed under a Monte Carlo simulation. This study concludes that MFI, being based on well-known environmental footprint indicators, can simplify and support the decision-making process.
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    UNIVERSIDAD DE CANTABRIA

    Repositorio realizado por la Biblioteca Universitaria utilizando DSpace software
    Contacto | Sugerencias
    Metadatos sujetos a:licencia de Creative Commons Reconocimiento 4.0 España