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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1016/j.rser.2018.05.041</dc:identifier><dc:language>eng</dc:language><dc:creator>Valero, A.</dc:creator><dc:creator>Valero, A.</dc:creator><dc:creator>Calvo, G.</dc:creator><dc:creator>Ortego, A.</dc:creator><dc:title>Material bottlenecks in the future development of green technologies</dc:title><dc:identifier>ART-2018-107044</dc:identifier><dc:description>Decarbonizing world economies implies the deployment of “green technologies”, meaning a renovation of the energy sector towards using renewable sources and zero emission transport technologies. This renovation will require huge amounts of raw materials, some of them with high supply risks. To assess such risks a new methodology is proposed, identifying possible bottlenecks of future demand versus geological availability. This has been applied to the world development of wind power, solar photovoltaic, solar thermal power and passenger electric vehicles for the 2016–2050 time period under a business as usual scenario considering the impact on 31 different raw materials. As a result, 13 elements were identified to have very high or high risk, meaning that these could generate bottlenecks in the future: cadmium, chromium, cobalt, copper, gallium, indium, lithium, manganese, nickel, silver, tellurium, tin and zinc. Tellurium, which is mostly demanded to manufacture solar photovoltaic cells, presents the highest risk. To overcome these constraints, measures consisting on improving recycling rates from 0.1% to 4.6% per year could avoid material shortages or restrictions in green technologies. For instance, lithium recycling rate should increase from 1% to 4.8% in 2050. This study aims to serve as a guideline for developing eco-design and recycling strategies.</dc:description><dc:date>2018</dc:date><dc:source>http://zaguan.unizar.es/record/149128</dc:source><dc:doi>10.1016/j.rser.2018.05.041</dc:doi><dc:identifier>http://zaguan.unizar.es/record/149128</dc:identifier><dc:identifier>oai:zaguan.unizar.es:149128</dc:identifier><dc:relation>info:eu-repo/grantAgreement/EC/H2020/691287/EU/Guiding European Policy toward a low-carbon economy. Modelling Energy system Development under Environmental And Socioeconomic constraints/MEDEAS</dc:relation><dc:relation>This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 691287-MEDEAS</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MINECO/ENE2017-85224-R</dc:relation><dc:identifier.citation>RENEWABLE &amp; SUSTAINABLE ENERGY REVIEWS 93 (2018), 178-200</dc:identifier.citation><dc:rights>All rights reserved</dc:rights><dc:rights>http://www.europeana.eu/rights/rr-f/</dc:rights><dc:rights>info:eu-repo/semantics/closedAccess</dc:rights></dc:dc>

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