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Life cycle assessment and cost analysis of an innovative automatic system for sorting municipal solid waste: A case study at Milan Malpensa airport.
Manea, Alessandro; Dolci, Giovanni; Grosso, Mario.
Afiliação
  • Manea A; Politecnico di Milano, Department of Civil and Environmental Engineering (DICA), Piazza Leonardo da Vinci 32, 20133 Milan, Italy. Electronic address: alessandro.manea@mail.polimi.it.
  • Dolci G; Politecnico di Milano, Department of Civil and Environmental Engineering (DICA), Piazza Leonardo da Vinci 32, 20133 Milan, Italy.
  • Grosso M; Politecnico di Milano, Department of Civil and Environmental Engineering (DICA), Piazza Leonardo da Vinci 32, 20133 Milan, Italy.
Waste Manag ; 183: 63-73, 2024 Jun 30.
Article em En | MEDLINE | ID: mdl-38718628
ABSTRACT
With the recent advancement in artificial intelligence, there are new opportunities to adopt smart technologies for the sorting of materials at the beginning of the recycling value chain. An automatic bin capable of sorting the waste among paper, plastic, glass & aluminium, and residual waste was installed in public areas of Milan Malpensa airport, a context where the separate collection is challenging. First, the airport waste composition was assessed, together with the efficiency of the manual sorting performed by passengers among the conventional bins paper, plastic, glass & aluminium, and residual waste. Then, the environmental (via the life cycle assessment - LCA) and the economic performances of the current system were compared to those of a system in which the sorting is performed by the automatic bin. Three scenarios were evaluated i) all waste from public areas, despite being separately collected, is sent to incineration with energy recovery, due to the inadequate separation quality (S0); ii) recyclable fractions are sent to recycling according to the actual level of impurities in the bags (S0R); iii) fractions are sorted by the automatic bin and sent to recycling (S1). According to the results, the current separate collection shows a 62 % classification accuracy. Focusing on LCA, S0 causes an additional burden of 12.4 mPt (milli points) per tonne of waste. By contrast, S0R shows a benefit (-26.4 mPt/t) and S1 allows for a further 33 % increase of benefits. Moreover, the cost analysis indicates potential savings of 24.3 €/t in S1, when compared to S0.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Resíduos Sólidos / Eliminação de Resíduos / Aeroportos / Reciclagem País/Região como assunto: Europa Idioma: En Revista: Waste Manag Assunto da revista: SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Resíduos Sólidos / Eliminação de Resíduos / Aeroportos / Reciclagem País/Região como assunto: Europa Idioma: En Revista: Waste Manag Assunto da revista: SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2024 Tipo de documento: Article
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