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.
