More than 60% of the existing building stock in the EU27 area, and especially in the housing sector, is expected to be renovated during the next few decades in order to comply with the energy efficiency standards foreseen by the EU Directives (31/2010, 27/2012) and meet high levels of performances. Service life prediction and residual service life evaluation are key tools useful to define the lifespan expectancy of the building after renovation and to assess economic payback time as well as energy investment amortization.
Boeri A., Gaspari J., Longo D. (2013). Prediction of Service Life as a Key-Factor for Building Maintenance and Quality Improvement. ROTTERDAM : International Council for Research and Innovation.
Prediction of Service Life as a Key-Factor for Building Maintenance and Quality Improvement
BOERI, ANDREA;GASPARI, JACOPO;LONGO, DANILA
2013
Abstract
More than 60% of the existing building stock in the EU27 area, and especially in the housing sector, is expected to be renovated during the next few decades in order to comply with the energy efficiency standards foreseen by the EU Directives (31/2010, 27/2012) and meet high levels of performances. Service life prediction and residual service life evaluation are key tools useful to define the lifespan expectancy of the building after renovation and to assess economic payback time as well as energy investment amortization.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
