School buildings in Lombardy Region are aged, in critical maintenance conditions and they often perform under acceptable service levels. Thus, performance measurement for existing buildings is a key issue to be taken into account for technical and economic assessment of built assets. Nowadays, asset managers must take decisions about maintenance and retrofitting alternatives, based on spare data on the existing status of the assets. Therefore, a significant waste of resources is often committed: one third of overall maintenance costs are used inefficiently as the result of unnecessary or improper maintenance activities. This paper presents a methodology for data optimization about energy performance and analysis through GIS, to drive efficiently retrofitting programs. For this purpose, has been exploited a public database developed by CENED (Certificazione Energetica degli Edifici), concerning energy performance labelling of school buildings. This data allows the evaluation of thermal performances according to significant time periods of XX century. Accordingly, trends highlighted can be related to some specific building technologies, featuring the above-mentioned historical periods. Moreover, by means of GIS (Geographic Information System) analysis, the research spots some areas in the regional territory, where energy retrofit is more critical, thus, an effective built environment management strategy should be carried out. In conclusion can be stated that the proposed methodology can foster data-driven energy retrofitting, intended as an innovative strategy for buildings’ performances improvement. Some further insights concerning the possible integration of the methodology in the BIM (Building Information Modeling) framework, as well as future developments of the work are discussed in the last part of the dissertation.

School buildings data driven energy retrofit,

Lavinia Tagliabue;Angelo Ciribini;Enrico De Angelis;
2017

Abstract

School buildings in Lombardy Region are aged, in critical maintenance conditions and they often perform under acceptable service levels. Thus, performance measurement for existing buildings is a key issue to be taken into account for technical and economic assessment of built assets. Nowadays, asset managers must take decisions about maintenance and retrofitting alternatives, based on spare data on the existing status of the assets. Therefore, a significant waste of resources is often committed: one third of overall maintenance costs are used inefficiently as the result of unnecessary or improper maintenance activities. This paper presents a methodology for data optimization about energy performance and analysis through GIS, to drive efficiently retrofitting programs. For this purpose, has been exploited a public database developed by CENED (Certificazione Energetica degli Edifici), concerning energy performance labelling of school buildings. This data allows the evaluation of thermal performances according to significant time periods of XX century. Accordingly, trends highlighted can be related to some specific building technologies, featuring the above-mentioned historical periods. Moreover, by means of GIS (Geographic Information System) analysis, the research spots some areas in the regional territory, where energy retrofit is more critical, thus, an effective built environment management strategy should be carried out. In conclusion can be stated that the proposed methodology can foster data-driven energy retrofitting, intended as an innovative strategy for buildings’ performances improvement. Some further insights concerning the possible integration of the methodology in the BIM (Building Information Modeling) framework, as well as future developments of the work are discussed in the last part of the dissertation.
978-88-96386-58-3
File in questo prodotto:
File Dimensione Formato  
COLLOQUIATE 2017.pdf

non disponibili

Tipologia: Full Text
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 121.45 MB
Formato Adobe PDF
121.45 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11379/511379
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact