Sensor Systems and Software. 4th International ICST Conference, S-Cube 2013, Lucca, Italy, June 11-12, 2013, Revised Selected Papers

Research Article

Comparative LCA Evaluations between Conventional Interventions and Building Automation Systems for Energetic Requalification Activities

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  • @INPROCEEDINGS{10.1007/978-3-319-04166-7_9,
        author={Alessandra Pierucci and Guido Dell‘Osso},
        title={Comparative LCA Evaluations between Conventional Interventions and Building Automation Systems for Energetic Requalification Activities},
        proceedings={Sensor Systems and Software. 4th International ICST Conference, S-Cube 2013, Lucca, Italy, June 11-12, 2013, Revised Selected Papers},
        proceedings_a={S-CUBE},
        year={2014},
        month={6},
        keywords={Building requalification Energy efficiency Automation Life Cycle Assessment Sustainability},
        doi={10.1007/978-3-319-04166-7_9}
    }
    
  • Alessandra Pierucci
    Guido Dell‘Osso
    Year: 2014
    Comparative LCA Evaluations between Conventional Interventions and Building Automation Systems for Energetic Requalification Activities
    S-CUBE
    Springer
    DOI: 10.1007/978-3-319-04166-7_9
Alessandra Pierucci1,*, Guido Dell‘Osso1,*
  • 1: Polytechnic of Bari
*Contact email: pieruccialex@gmail.com, dellosso@poliba.it

Abstract

The aim of the research is to investigate how the use of building automation and control systems could represent a valid tool for the achievement of a higher level of energy efficiency in the existing building panorama. The project develops a sustainability evaluation of an Italian dwelling with technological and typological features of sixties-seventies buildings; two alternative efficiency strategies were compared. The first one, more conventional, consisting in the application of walls’ exterior thermal coat and substitution of existing windows; the second one, with the implementation of a specific building automation system for the management of existing components and building services. The results of the research, in terms of computer energy modeling and Life Cycle Assessment evaluations, have demonstrated, by using the second option, a higher potential in achieving a reduction in energy consumption during the use phase, together with a lower resources investment for the energy improvement goal.