Life Cycle Assessment and Multivariate Data Analysis for an integrated characterisation of the technologies for electric energy production (Contributo in volume (capitolo o saggio))

Type
Label
  • Life Cycle Assessment and Multivariate Data Analysis for an integrated characterisation of the technologies for electric energy production (Contributo in volume (capitolo o saggio)) (literal)
Anno
  • 2004-01-01T00:00:00+01:00 (literal)
Alternative label
  • Cosmi C; Loperte S; Macchiato M; Pietrapertosa F; Ragosta M; Salvia M (2004)
    Life Cycle Assessment and Multivariate Data Analysis for an integrated characterisation of the technologies for electric energy production
    in AIR POLLUTION XII, 2004
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Cosmi C; Loperte S; Macchiato M; Pietrapertosa F; Ragosta M; Salvia M (literal)
Pagina inizio
  • 67 (literal)
Pagina fine
  • 75 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#citta
  • Southampton (UK) and Boston (U (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • AIR POLLUTION XII (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 14 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autoriCuratela
  • C. Cosmi, S. Loperte, F. Pietrapertosa, M. Ragosta, M. Salvia. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatori
  • Carmelina Cosmi; Simona Loperte; Maria Macchiato; Filomena Pietrapertosa; Maria Ragosta; Monica Salvia (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 9 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto di Metodologie per l'Analisi Ambientale, CNR, Tito Scalo (PZ), Italy - Istituto Nazionale per la Fisica della Materia, Unità di Napoli, Italy Dipartimento di Ingegneria e Fisica dell'Ambiente, Università della Basilicata, Potenza, Italy. Istituto Nazionale per la Fisica della Materia, Unità di Napoli, Italy - Dipartimento di Scienze Fisiche, Università Federico II, Italy Istituto di Metodologie per l'Analisi Ambientale, CNR, Tito Scalo (PZ), Italy - Dipartimento di Ingegneria e Fisica dell'Ambiente, Università della Basilicata, Potenza, Italy Istituto Nazionale per la Fisica della Materia, Unità di Napoli, Italy - Dipartimento di Ingegneria e Fisica dell'Ambiente, Università della Basilicata, Potenza, Italy Istituto di Metodologie per l'Analisi Ambientale, CNR, Tito Scalo (PZ), Italy (literal)
Titolo
  • Life Cycle Assessment and Multivariate Data Analysis for an integrated characterisation of the technologies for electric energy production (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#inCollana
  • Air Pollution XII (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 1-85312-722-1 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#tipoDiCuratela
  • Libro (literal)
Abstract
  • Power production systems are responsible for the most of local air pollutants as well as greenhouse gases emissions. Renewable energy technologies allow to reduce atmospheric pollution, but their total environmental impact (all life cycle's phases) should be carefully assessed to avoid environmental degradation. The aim of this work was to characterise with a quantitative criterion the environmental impact of the in-use technologies for power production and to develop a methodology based on a statistical approach that detects the cause-effect relationships. A general purpose methodology, based on the integration of LCA and MDA, was then implemented and applied for analysing the technological options provided by the Energy Plan of Basilicata Region (Southern Italy). An inventory analysis of the air pollutants emitted by these technologies was carried out using LCA. The inventory matrices were normalised and, subsequently analysed by Cluster Analysis and Principal Component Analysis. In this way, the initial data were aggregated into statistically homogeneous groups and the principal components were individuated, characterising the relationships between technologies and pollutants. The integration of the two methods allows to improve the informative content of LCA results, broadening its possible fields of application. (literal)
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