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Synthesis and assessment of waste-to-resource routes for circular economy

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10.1016/B978-0-12-823377-1.50323-2
 
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Pacheco López, AdrianMés informacióMés informació
Somoza Tornos, AnaMés informacióMés informació
Muñoz Mata, Edrisi
Capon Garcia, Elisabeth
Graells Sobré, MoisèsMés informacióMés informacióMés informació
Espuña Camarasa, AntonioMés informacióMés informacióMés informació
Document typeConference report
Defense date2020
PublisherElsevier
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
ProjectMETODOS AVANZADOS DE INTEGRACION PARA UNA SIMBIOSIS EFICIENTE DE REDES DE PROCESO (AEI-DPI2017-87435-R)
Abstract
The benefits of the circular economy paradigm have been proven during the past two decades, but its application poses some challenges that still need to be tackled. This contribution presents a systematic way to generate a list of potential waste-to-resource technologies based on the use of a semi-automatic ontological frameworks. The ontology is instantiated, giving the possibility to generate and assess a list of transformation processes alternatives, according to the potentially available waste streams and resource requirements in a specific area and/or sector. The resulting list is then analyzed and classified according to pre-established parameters, thus presenting which are the potentially best alternatives to close the material loops and recover chemical resources from available waste. The capabilities of the method to identify promising transformation technologies are assessed through an illustrative case study: the evaluation of different routes for the treatment of plastic waste materials, with the focus on chemical recycling.
CitationPacheco, A. [et al.]. Synthesis and assessment of waste-to-resource routes for circular economy. A: European Symposium on Computer Aided Process Engineering. "Proceedings of the 30th European Symposium on Computer Aided Process Engineering". Elsevier, 2020, p. 1933-1938. DOI 10.1016/B978-0-12-823377-1.50323-2. 
URIhttp://hdl.handle.net/2117/343323
DOI10.1016/B978-0-12-823377-1.50323-2
Publisher versionhttps://www.sciencedirect.com/science/article/pii/B9780128233771503232
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  • CEPIMA - Center for Process and Environment Engineering - Ponències/Comunicacions de congressos [76]
  • Departament d'Enginyeria Química - Ponències/Comunicacions de congressos [326]
  • Doctorat en Enginyeria de Processos Químics - Ponències/Comunicacions de congressos [26]
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