This paper presents the application of a probabilistic LCC method for the assessment of the affordability of alternative internal insulation measures in a historic building. The work, based on a Monte-Carlo approach for uncertainty analysis, particularly focuses on the characterisation of the stochastic inputs of the assessment, related to the specific design options chosen, highlighting the main assumptions and data fitting procedures applied on available data. The probabilistic LCC application shows a great potential in providing realistic information about results uncertainties and enabling useful analysis of potential benefits of a design option.
Internal insulation solutions for a historic building renovation: a probabilistic approach for the affordability assessment / DI GIUSEPPE, Elisa; Iannaccone, Monica; Telloni, Martina; Quagliarini, Enrico; D'Orazio, Marco. - In: TEMA. - ISSN 2421-4574. - 3:1(2017), pp. 53-64. [10.17410/tema.v3i1.128]
Internal insulation solutions for a historic building renovation: a probabilistic approach for the affordability assessment
DI GIUSEPPE, ELISA
;IANNACCONE, MONICA;TELLONI, MARTINA;QUAGLIARINI, ENRICO;D'ORAZIO, Marco
2017-01-01
Abstract
This paper presents the application of a probabilistic LCC method for the assessment of the affordability of alternative internal insulation measures in a historic building. The work, based on a Monte-Carlo approach for uncertainty analysis, particularly focuses on the characterisation of the stochastic inputs of the assessment, related to the specific design options chosen, highlighting the main assumptions and data fitting procedures applied on available data. The probabilistic LCC application shows a great potential in providing realistic information about results uncertainties and enabling useful analysis of potential benefits of a design option.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.